NLI (Natural Language Interaction) 2020


Notes:

According to Artificial Solutions (artificial-solutions.com), Natural Language Interaction is the next stage in the evolution of NLP (Natural Language Processing).

Resources:

  • patientgenesys.com .. collaborative digital health simulation project (virtual patient dialogue / physician)
  • sara .. an interactive sandbox for research on autism

Wikipedia:

References:

See also:

ROILA (Robot Interaction Language)


Learning unknown groundings for natural language interaction with mobile robots
M Tucker, D Aksaray, R Paul, GJ Stein, N Roy – Robotics Research, 2020 – Springer
Our goal is to enable robots to understand or “ground” natural language instructions in the context of their perceived workspace. Contemporary models learn a probabilistic correspondence between input phrases and semantic concepts (or groundings) such as …

Natural Language Interaction to Facilitate Mental Models of Remote Robots
FJC Garcia, J Lopes, H Hastie – arXiv preprint arXiv:2003.05870, 2020 – arxiv.org
Increasingly complex and autonomous robots are being deployed in real-world environments with far-reaching consequences. High-stakes scenarios, such as emergency response or offshore energy platform and nuclear inspections, require robot operators to …

Voice interaction on TV: analysis of natural language interaction models and recommendations for voice user interfaces
R Santos, J Abreu, P Beça, A Rodrigues… – Multimedia Tools and …, 2020 – Springer
The goal of this study was to perform an evaluation of a set of voice interaction models (supported by a hands-free solution activated by a wake-up word, a mobile app and a TV remote control with microphone) to identify the most appropriate solution for interactive …

Facilitating Physical-Computer System Design through Data-Driven Natural-Language Interaction
T Chen – Extended Abstracts of the 2020 CHI Conference on …, 2020 – dl.acm.org
Designing and creating physical computing system can be challenging for novice user. In this paper, we present FritzBot, an intelligent conversational agent offering assistance for novice users on constructing physical-computing systems through natural-language  …

Natural language interaction to facilitate mental models of remote robots
FJ Chiyah Garcia, J Lopes, H Hastie – arXiv e-prints, 2020 – ui.adsabs.harvard.edu
Increasingly complex and autonomous robots are being deployed in real-world environments with far-reaching consequences. High-stakes scenarios, such as emergency response or offshore energy platform and nuclear inspections, require robot operators to …

Fragment-Driven Natural Language Interaction with Databases.
C Baik – CIDR, 2020 – chrisbaik.com
Retrieving data from a relational database is a challenge for nontechnical users. While SQL is a formidable swiss army knife for database tasks, even its core functionality, such as the ability to join tables, remains opaque for many users. This challenge is exacerbated by the …

Robots that use language
S Tellex, N Gopalan, H Kress-Gazit… – Annual Review of …, 2020 – annualreviews.org
This article surveys the use of natural language in robotics from a robotics point of view. To use human language, robots must map words to aspects of the physical world, mediated by the robot’s se…

Speak to your Parser: Interactive Text-to-SQL with Natural Language Feedback
A Elgohary, S Hosseini, AH Awadallah – arXiv preprint arXiv:2005.02539, 2020 – arxiv.org
Page 1. Speak to your Parser: Interactive Text-to-SQL with Natural Language Feedback Ahmed Elgohary? University of Maryland, College Park elgohary@cs. umd.edu Saghar Hosseini, Ahmed Hassan Awadallah Microsoft …

Home Automation using Natural Language Interaction (NLI)
V Mane, S Gupta, R Rasal, S Patel, P Jain – 2020 – academia.edu
The purpose of this project is to automate current home appliances with the help of wireless com-mand through mobile phones. The system will use Natu-ral Language Interaction (NLI) to process the commands. This software will lead to faster and interactive system to operate …

CulturalERICA: A conversational agent improving the exploration of European cultural heritage
OM Machidon, A Tav?ar, M Gams… – Journal of Cultural …, 2020 – Elsevier
… Intelligent conversational agents have the potential of facilitating user-friendly access to the vast amount of information in the Semantic Web by natural language interaction and by providing structured answers to the user’s queries …

MIVA: Multimodal interactions for facilitating visual analysis with multiple coordinated views
I Chowdhuray, A Moeid, E Hoque… – … of the 24th …, 2020 – conferences.computer.org
… to complete a task. Re- cently natural language interaction has emerged as a promising technique for supporting exploration with visualization, as the user can express a complex analytical question more easily. In this paper …

Designing and Evaluating Multimodal Interactions for Facilitating Visual Analysis with Dashboards
I Chowdhury, A Moeid, E Hoque, MA Kabir… – IEEE …, 2020 – ieeexplore.ieee.org
… to complete a task. Recently natural language interaction has emerged as a promising technique for supporting exploration with visualization, as the user can express a complex analytical question more easily. In this paper, we …

Spoken Language Interaction with Robots: Research Issues and Recommendations, Report from the NSF Future Directions Workshop
M Marge, C Espy-Wilson, N Ward – arXiv preprint arXiv:2011.05533, 2020 – arxiv.org
Page 1. Spoken Language Interaction with Robots ——— Research Issues and Recommendations Matthew Marge, Carol Espy-Wilson, Nigel G. Ward arXiv:2011.05533 v1 [cs.RO] 11 Nov 2020 Page 2. Spoken Language Interaction with Robots …

Interactive Task Learning from GUI-Grounded Natural Language Instructions and Demonstrations
TJJ Li, T Mitchell, B Myers – Proceedings of the 58th Annual Meeting of …, 2020 – aclweb.org
… This could be supported by improved background knowledge and task models, and more flexible dialog frameworks that can handle the continuous refinement and un- certainty inherent in natural language interaction, and the variations in user goals …

Foundations for Near-Term Quantum Natural Language Processing
B Coecke, G de Felice, K Meichanetzidis… – arXiv preprint arXiv …, 2020 – arxiv.org
… 9 3 Why quantum? 10 3.1 Combining grammar and meaning . . . . . 10 3.2 Quantum ? Natural Language = interaction logic . . . . . 14 3.3 Classical successes, but costly …

Intention-Related Natural Language Grounding via Object Affordance Detection and Intention Semantic Extraction
J Mi, H Liang, N Katsakis, S Tang, Q Li… – Frontiers in …, 2020 – frontiersin.org
Similar to specific natural language instructions, intention-related natural language queries also play an essential role in our daily life communication. Inspired by the psychology term “affordance” and its applications in Human-Robot interaction, we propose an object affordance …

Proceedings of the First Workshop on Natural Language Interfaces
A Hassan, Y Su, H Sun, W Yih – Proceedings of the First Workshop on …, 2020 – aclweb.org
… is featured by a strong, diverse lineup of invited speakers: Monica Lam’s research on virtual assistants stems from a programming language perspective and emphasizes openness and privacy, Percy Liang is a leading researcher on natural language interaction and machine …

NATURAL LANGUAGE INTERACTION WITH SYNTHESIS BASED CONTROL FOR SIMULATED FREE-FLYING ROBOTS
JD Rosser, J Arkin, S Patki, TM Howard – hou.usra.edu
For human-robot teams to effectively collaborate when communication is infrequent or intermittent, robots must reliably and independently perform tasks. Work in grounded language communication has enabled robots to interpret and execute instructions provided …

Automatic generation of chatbots for conversational web browsing
P Chittò, M Baez, F Daniel, B Benatallah – International Conference on …, 2020 – Springer
… Abstract. In this paper, we describe the foundations for generating a chatbot out of a website equipped with simple, bot-specific HTML annotations. The approach is part of what we call conversational web browsing, ie, a dialog-based, natural language interaction with websites …

Designing anthropomorphic enterprise conversational agents
S Diederich, AB Brendel, LM Kolbe – Business & Information Systems …, 2020 – Springer
… In practice, many CAs fail to continuously provide meaningful responses in a conversation due to the open nature of natural language interaction, which negatively influences user perception and often led to CAs being discontinued in the past …

Alfred: A benchmark for interpreting grounded instructions for everyday tasks
M Shridhar, J Thomason, D Gordon… – Proceedings of the …, 2020 – openaccess.thecvf.com
Page 1. ALFRED A Benchmark for Interpreting Grounded Instructions for Everyday Tasks Mohit Shridhar1 Jesse Thomason1 Daniel Gordon1 Yonatan Bisk1,2,3 Winson Han3 Roozbeh Mottaghi1,3 Luke Zettlemoyer1 Dieter Fox1,4 AskForALFRED.com Abstract …

Interactive Natural Language Grounding via Referring Expression Comprehension and Scene Graph Parsing
J Mi, J Lyu, S Tang, Q Li, J Zhang – Frontiers in Neurorobotics, 2020 – ncbi.nlm.nih.gov

Sentifiers: Interpreting Vague Intent Modifiers in Visual Analysis using Word Co-occurrence and Sentiment Analysis
V Setlur, A Kumar – arXiv preprint arXiv:2009.12701, 2020 – arxiv.org
… Natural language interaction with data visualization tools often in- volves the use of vague subjective modifiers in utterances such as “show me the sectors that are performing” and “where is a good neighborhood to buy a house?.” Interpreting these modifiers is often difficult for …

Designing a virtual patient dialogue system based on terminology-rich resources: Challenges and evaluation
L Campillos-Llanos, C Thomas, E Bilinski… – Natural Language …, 2020 – cambridge.org
Designing a virtual patient dialogue system based on terminology-rich resources: Challenges and evaluation – Volume 26 Issue 2 – Leonardo Campillos-Llanos, Catherine Thomas, Éric Bilinski, Pierre Zweigenbaum, Sophie Rosset.

Inspecting Data Using Natural Language Queries
F Bacci, FM Cau, LD Spano – International Conference on Computational …, 2020 – Springer
… Keywords. Data visualization Natural language interaction Artificial Intelligence Human computer interaction. The work has been founded by the AI4fit project (POR-FSER Sardegna 2014–2020, CUP: F25D17000200008). Download conference paper PDF. 1 Introduction …

Knowledge engineering and planning for social human–robot interaction: a case study
RPA Petrick, ME Foster – … Engineering Tools and Techniques for AI …, 2020 – Springer
… system. While the link between automated planning and natural language processing has a long tradition, the planning approach to natural language interaction has for the most part been largely overlooked more recently. In …

Conversational strategies: impact on search performance in a goal-oriented task
M Dubiel, M Halvey, L Azzopardi… – The Third …, 2020 – strathprints.strath.ac.uk
… Extending Conversational Agents for Task-Oriented Human-Computer Dialogue. In Conversational Agents and Natural Language Interaction: Techniques and Effective Practices … In Conversational Agents and Natural Language Interaction: Techniques and Effective Practices …

Jointly improving parsing and perception for natural language commands through human-robot dialog
J Thomason, A Padmakumar, J Sinapov… – Journal of Artificial …, 2020 – jair.org
Page 1. Journal of Artificial Intelligence Research 67 (2020) 327-374 Submitted 05/2019; published 02/2020 Jointly Improving Parsing and Perception for Natural Language Commands through Human-Robot Dialog Jesse Thomason jdtho@cs.washington.edu …

Training Natural Language Understanding for the TV Context: A Visual Stimuli Approach for the Elicitation Process
T Marques – Applications and Usability of Interactive TV: 8th …, 2020 – books.google.com
… presented to them. This paper reports on different stimulation strategies to prompt participants (either in group or individually) to utter distinctive phrases associated with natural language interaction with a TV set. The elicitation …

A Conversational Agent to Improve Response Quality in Course Evaluations
T Wambsganss, R Winkler, M Söllner… – Extended Abstracts of …, 2020 – dl.acm.org
… CAs are software programs which communicate with users through natural language interaction interfaces [22, 20] … CAs are software programs which are designed to communicate with users through natural language interaction interfaces [22, 20] …

Combining Natural Language and Direct Manipulation for Human-Data Interaction through Visualizations
A Srinivasan – 2020 – smartech.gatech.edu
Page 1. COMBINING NATURAL LANGUAGE AND DIRECT MANIPULATION FOR HUMAN-DATA INTERACTION THROUGH VISUALIZATIONS A Dissertation Presented to The Academic Faculty By Arjun Srinivasan In Partial …

SPA: Verbal Interactions between Agents and Avatars in Shared Virtual Environments using Propositional Planning
A Best, S Narang, D Manocha – … on Virtual Reality and 3D User …, 2020 – ieeexplore.ieee.org
… Agents automatically generate uncertainty resolution actions that may include navigational actions to explore the environment, or asking questions. Moreover, agents re-plan based on new information. • Multi-agent Natural language Interaction: We present a 117 …

Spatial Reasoning from Natural Language Instructions for Robot Manipulation
SG Venkatesh, A Biswas, R Upadrashta… – arXiv preprint arXiv …, 2020 – arxiv.org
… IEEE, 2017, pp. 502–509. [10] R. Paul, J. Arkin, N. Roy, and T. M Howard, “Efficient grounding of abstract spatial concepts for natural language interaction with robot manipulators,” Robotics: Science and Systems Foundation, 2016 …

ConvERSe’20: The WSDM 2020 Workshop on Conversational Systems for E-Commerce Recommendations and Search
E Agichtein, D Hakkani-Tür, S Kallumadi… – Proceedings of the 13th …, 2020 – dl.acm.org
… Critiquing in conversational recommenders • Question-asking in conversational recommenders • Personalization in conversational recommenders • Recommendations-explanations in conversational systems • Natural language interaction with conversational systems …

Chatbot integration in few patterns
M Baez, F Daniel, F Casati… – IEEE Internet …, 2020 – ieeexplore.ieee.org
… 7. Baez, M., Daniel, F., & Casati, F. (2019, November). Conversational Web Interaction: Proposal of a Dialog-Based Natural Language Interaction Paradigm for the Web. In International Workshop on Chatbot Research and Design (pp. 94-110). Springer, Cham …

Sim-to-Real Transfer for Vision-and-Language Navigation
P Anderson, A Shrivastava, J Truong… – arXiv preprint arXiv …, 2020 – arxiv.org
… [3] R. Paul, J. Arkin, N. Roy, and T. M Howard. Efficient grounding of abstract spatial concepts for natural language interaction with robot manipulators … Learning unknown groundings for natural language interaction with mobile robots. In Robotics Research, pages 317–333 …

Scheherazade’s Tavern: A Prototype For Deeper NPC Interactions
R Aljammaz, E Oliver, J Whitehead… – … Conference on the …, 2020 – dl.acm.org
… We believe that social simulation is a key element in the creation of complex characters, which is further aided by natural language interaction and knowledge modeling … Further, Versu makes use of menu-based rather than natural language interaction …

A chatbot response generation system
J Feine, S Morana, A Maedche – … of the Conference on Mensch und …, 2020 – dl.acm.org
… Another promis- ing approach is to divide the improvement tasks into micro tasks that prevent any crowd-worker from seeing too many information [33]. However, the interaction context is very important in order to correctly understand a natural language interaction [20] …

On Communicative Failures in Cross-Cultural Discourse
A Restamovna Salakhova… – Research in Applied …, 2020 – iranjournals.nlai.ir
… The analysis of particular communicative failures in the process of cross-cultural natural language interaction allows for the creation and / or correction of tactics of verbal behaviour that can be effectively used in teaching Russian as a foreign language, for example, when …

Lifelong Learning Dialogue Systems: Chatbots that Self-Learn On the Job
B Liu, S Mazumder – arXiv preprint arXiv:2009.10750, 2020 – arxiv.org
… oriented bots. They are primarily designed as Natural Language Interaction (NLI) systems that take human NL instructions (commands) and translate them into some actions to be executed by the under- lying application. Question …

Sneak Pique: Exploring Autocompletion as a Data Discovery Scaffold for Supporting Visual Analysis
V Setlur, E Hoque, DH Kim, AX Chang – Proceedings of the 33rd Annual …, 2020 – dl.acm.org
… ABSTRACT Natural language interaction has evolved as a useful modal- ity to help users explore and interact with their data during visual analysis … Author Keywords autocompletion; data preview; natural language interaction; visual analysis …

NATURAL LANGUAGE PROCESSING IN ARTIFICIAL INTELLIGENCE: A FUNCTIONAL LINGUISTIC PERSPECTIVE
K Panesar – The Age of Artificial Intelligence: An Exploration, 2020 – books.google.com
Page 233. CHAPTER 12 NATURAL LANGUAGE PROCESSING IN ARTIFICIAL INTELLIGENCE: A FUNCTIONAL LINGUISTIC PERSPECTIVE Kulvinder Panesar York St John University, UK Abstract: This chapter encapsulates …

Proactivity: The Next Step in Voice Assistants for the TV Ecosystem
B Cardoso – Applications and Usability of Interactive TV: 8th …, 2020 – books.google.com
… bernardo@ telecom. pt Abstract. Intelligent Personal Assistants (IPAs) are increasingly present in peo- ple’s daily lives, with natural language interaction allowed by voice assistants improving the user experience. In the television …

Vietnamese Service Robot Based on Artificial Intelligence
NTT Phong, LHT Nam, NT Thinh – International Journal of Mechanical …, 2020 – ijmerr.com
… People believe that robot will replace all blue-collars in almost company, even hospital and school in next few decades, therefore developers are trying to improve natural language interaction between human and robot, especially helping new vision for Vietnamese robotics …

A literature review on question answering techniques, paradigms and systems
MAC Soares, FS Parreiras – Journal of King Saud University-Computer and …, 2020 – Elsevier

Conversational Agents for Recommender Systems
A Iovine – Fourteenth ACM Conference on Recommender …, 2020 – dl.acm.org
… conducted, which concluded that natural language interaction is able to improve the quality of recommendations and the interaction cost compared to a button-based CoRS interface, thus providing a positive answer to RQ1 …

INGRESS: Interactive visual grounding of referring expressions
M Shridhar, D Mittal, D Hsu – The International Journal of …, 2020 – journals.sagepub.com
This article presents INGRESS, a robot system that follows human natural language instructions to pick and place everyday objects. The key question here is to ground referring expressions: understa…

Chatbot research and design
A Følstad, T Araujo, S Papadopoulos, ELC Law… – 2020 – Springer
… Design….. 79 Jasper Feine, Ulrich Gnewuch, Stefan Morana, and Alexander Maedche Conversational Web Interaction: Proposal of a Dialog-Based Natural Language Interaction Paradigm for the Web …

Revisiting Habitability in Conversational Systems
AB Kocaballi, E Coiera, S Berkovsky – … of the 2020 CHI Conference on …, 2020 – dl.acm.org
… CHI 2020 Late-Breaking Work CHI 2020, April 25–30, 2020, Honolulu, HI, USA LBW011, Page 7 Page 8. [16] Arne Jönsson. 1997. A Model for Habitable and Efficient Dialogue Management for Natural Language Interaction. Nat. Lang. Eng. 3, 2, 103-122 …

Robots That Use Language: A Survey
S Tellex, N Gopalan, H Kress-Gazit, C Matuszek – 2020 – h2r1.cs.brown.edu
Page 1. Robots That Use Language: A Survey Stefanie Tellex1, Nakul Gopalan2, Hadas Kress-Gazit3, and Cynthia Matuszek4 1Computer Science Department, Brown University, Providence, RI, USA, 02906; email: stefie10 …

Natural language processing (NLP) in Artificial Intelligence (AI): a functional linguistic perspective
K Panesar – 2020 – bradscholars.brad.ac.uk
Page 1. 1 CHAPTER 12 NATURAL LANGUAGE PROCESSING IN ARTIFICIAL INTELLIGENCE: A FUNCTIONAL LINGUISTIC PERSPECTIVE DR. KULVINDER PANESAR YORK ST JOHN UNIVERSITY Abstract This chapter …

Natural Language Interfaces for Procedural Content Generation in Games
A Mobramaein Kano – 2020 – escholarship.org
… for Water4. . . . . 70 4.8 Example session showing natural language interaction with Water4. 71 4.9 Example session showing natural language interaction with our hy- pothetical race track generator. . . . . 73 …

MIVA: Multimodal Interactions for Facilitating Visual Analysis with Multiple Coordinated Views
A Kabir – 24th International Conference …, 2020 – anz-covid19-portal.elsevierpure.com
… to complete a task. Recently natural language interaction has emerged as a promising technique for supporting exploration with visualization, as the user can express a complex analytical question more easily. In this paper, we …

Jointly Improving Parsing and Perception for Natural Language Commands through Human-Robot Dialog
A Padmakumar, R Mooney, P Stone… – Good Systems …, 2020 – repositories.lib.utexas.edu
Page 1. In The Journal of Artificial Intelligence Research (JAIR Volume 67, 2020) Jointly Improving Parsing and Perception for Natural Language Commands through Human-Robot Dialog Jesse Thomason jdtho@cs.washington.edu …

Natural Language Interfaces for Procedural Content Generation in Games
AM Kano – 2020 – escholarship.org
… for Water4. . . . . 70 4.8 Example session showing natural language interaction with Water4. 71 4.9 Example session showing natural language interaction with our hy- pothetical race track generator. . . . . 73 …

Comparing users’ perception of different chatbot interaction paradigms: a case study
FAM Valério, TG Guimarães, RO Prates… – Proceedings of the 19th …, 2020 – dl.acm.org
… ACM, New York, NY, USA, 10 pages. https://doi.org/10.1145/3424953.3426501 1 INTRODUCTION Text-based natural language interaction has come a long way since the first chatbots in the 1960s [1, 2, 14]. Chatbot APIs for Online …

Using augmented reality to better study human-robot interaction
T Williams, L Hirshfield, N Tran, T Grant… – … Conference on Human …, 2020 – Springer
… a powerful communication modality in the first place. But natural language interaction is particularly difficult to study within the context of human-robot interaction. While traditional natural language processing methods may be …

Information Retrieval Based on Knowledge-Enhanced Word Embedding Through Dialog: A Case Study
J Ren, H Wang, T Liu – International Journal of Computational …, 2020 – atlantis-press.com

The aim of this paper is to provide a systematic route of information retrieval from a knowledge-based database (or domain knowledge) through a dialog system of natural language interaction. The application is about a …

A multiview approach to learning articulated motion models
AF Daniele, TM Howard, MR Walter – Robotics Research, 2020 – Springer
In order for robots to operate effectively in homes and workplaces, they must be able to manipulate the articulated objects common within environments built for and by humans. Kinematic models…

Artificial Intelligence to Extract, Analyze and Generate Knowledge and Arguments from Texts to Support Informed Interaction and Decision Making
E Cabrio – 2020 – hal.inria.fr
… 8 1.2 Natural language interaction with the Web of Data … In this context, I have supervised the PhD thesis of Amosse Edouard on studying methods for detecting, classifying and tracking events on Twitter. 1.2 Natural language interaction with the Web of Data …

History-Aware Question Answering in a Blocks World Dialogue System
B Kane, G Platonov, LK Schubert – arXiv preprint arXiv:2005.12501, 2020 – arxiv.org
… In our continuing work on natural language interaction in the blocks world to allow for teaching and learning larger-scale structural concepts, and also generalizing to a more realistic “room world” (see [18]), we are developing a set of object schemas for objects in the domain …

Redefining the Digital Paradigm for Museums-Considering the COVID-19 Pandemic
G Nelson, MM Archi Dasgupta, S Williams, S Dasgupta… – gunnarbnelson.com
… explore the artifacts. The “avatar-guide” experience is created by developing a virtual museum guide that uses natural language interaction to explain the 3D virtual artifacts and have a realistic appearance. The “game-based …

Identification of Students’ Need Deficiency Through a Dialogue System
P Chen, Y Lu, Y Peng, J Liu, Q Xu – International Conference on Artificial …, 2020 – Springer
… With advancement in artificial intelligence, task-oriented dialogue system, aiming to complete a specific task through natural language interaction, has been applied to different fields, such as ticket booking [7], restaurant searching [13], disease diagnosis [12], moral education …

Learning What To Say And What To Do: A Model For Grounding Language And Actions
A Antunes – 2020 – pearl.plymouth.ac.uk
Page 1. This copy of the thesis has been supplied on condition that anyone who consults it is understood to recognise that its copyright rests with its author and that no quotation from the thesis and no information derived from …

Cognitive Architectural Control for Free-Flying Robots on the Lunar Orbital Platform-Gateway
JE Serrano, SJ Runningrabbit, S Roy, A Bejarano… – researchgate.net
… Interaction of the dis- tributed multi-robot system with human teammates can occur in a variety of ways: each individual robot and the Gateway may have individual minds and one-to-one communication with human teammates, robots and the Gateway may all share the same …

A BOT-ENABLED APPROACH FOR WEB SERVICE DISCOVERY
B Zarei, M Noura, M Gaedke – researchgate.net
… input through a realistic response. According to Fuckner et al. (2013) enabling users to perform a task via natural language interaction can save up to 30% in time and 60% in the required effort. Using chatbots has proven to …

Developing a Task-Based Dialogue System for English Language Learning
KC Li, M Chang, KH Wu – Education Sciences, 2020 – mdpi.com
… Natural language processing is the communication channel between human and machine. It is also one of the most difficult problems in computer science, whether it is to achieve natural language understanding or natural language interaction …

A Comprehensive Methodology for Evaluating Conversation-Based Interfaces to Relational Databases (C-BIRDs)
M Owda, AY Owda, F Gasir – Proceedings of SAI Intelligent Systems …, 2020 – Springer
… agents by means of multimodal interaction. In: Perez-Marin, D., Pascual-Nieto, I. (eds.) Conversational Agents and Natural Language Interaction: Techniques and Effective Practices, pp. 223–252 (2011)Google Scholar. 6. Hung …

A Survey on Chatbots Using Artificial Intelligence
MM Ganesan, C Deepika… – 2020 International …, 2020 – ieeexplore.ieee.org
… I. INTRODUCTION In Today world, Chatbot plays an important role in people life. It is used in communication or interaction purpose with human Due to the existence of Natural language interaction between humans and computers, chatbot is very useful for humans …

An Interactive Image Editing System Using an Uncertainty-Based Confirmation Strategy
S Shinagawa, K Yoshino, SH Alavi, K Georgila… – IEEE …, 2020 – ieeexplore.ieee.org
… Image generation or editing systems help users create desired images through interaction [1], [2]. The capability of natural language interaction on such systems would be useful because a natural language interface does not require any special skills; it only requires the ability …

Enabling Morally Sensitive Robotic Clarification Requests
RB Jackson, T Williams – arXiv preprint arXiv:2007.08670, 2020 – arxiv.org
Page 1. ENABLING MORALLY SENSITIVE ROBOTIC CLARIFICATION REQUESTS Enabling Morally Sensitive Robotic Clarification Requests Ryan Blake Jackson RBJACKSO@MINES. EDU Tom Williams TWILLIAMS@MINES.EDU MIRRORLab, Dept …

Language-guided semantic mapping and mobile manipulation in partially observable environments
S Patki, E Fahnestock, TM Howard… – Conference on Robot …, 2020 – proceedings.mlr.press
… In Proc. Int’l Joint Conf. on Artificial Intelligence (IJCAI), 2015. [8] R. Paul, J. Arkin, D. Aksaray, N. Roy, and TM Howard. Efficient grounding of abstract spatial concepts for natural language interaction with robot platforms. Int’l J. of Robotics Research, 37(10):1269–1299, 2018 …

HealthAssistantBot: A Personal Health Assistant for the Italian Language
M Polignano, F Narducci, A Iovine, C Musto… – IEEE …, 2020 – ieeexplore.ieee.org
… more important in everyday life, thanks to the significant invest- ment of resources by large international companies and the possibility to enrich them with an intelligent behavior2 [4]. In particular, thanks to machine learning approaches, natural language interaction with these …

Building a knowledge graph by using cross-lingual transfer method and distributed MinIE algorithm on apache spark
P Do, T Phan, H Le, BB Gupta – Neural Computing and Applications, 2020 – Springer
The simplest and effective way to store human knowledge through centuries was using text. Along with the advancement of technology nowadays, the volume of.

Unleashing the Potential of Conversational Agents for Course Evaluations: Empirical Insights from a Comparison with Web Surveys.
T Wambsganss, R Winkler, P Schmid, M Söllner – ECIS, 2020 – aisel.aisnet.org
… CAs are software programs which communicate with users through natural language interaction interfaces (Rubin et al … CAs are software programs which are designed to communicate with users through natural language interaction interfaces (Rubin et al …

A Multi-level Framework for Understanding Spoken Dialogue Using Topic Detection
AP Valenti, R Thielstrom, F Gervits, M Gold, D Egolf… – hrilab.tufts.edu
… thus, word insertions are frequent, making up about 40% of word errors. 6 Conclusion Natural language interaction with SDSs can result in errors which propagate through the components, causing interpretation of utterance meaning to fail …

How culture and biology interact to shape language and the language faculty
K Smith – Topics in cognitive science, 2020 – Wiley Online Library
… One approach builds on work on the development of local conventions during natural language interaction (eg, Clark & Wilkes?Gibbs, 1986; Garrod & Anderson, 1987; Krauss & Weinheimer, 1964) and explores how those same interactive processes shape the evolution of …

Learning Labeled Robot Affordance Models by using Simulations and Crowdsourcing
A Allevato, M Pryor, ES Short, AL Thomaz – roboticsproceedings.org
Page 1. Robotics: Science and Systems Corvalis, Oregon, USA, July – 6, Learning Labeled Robot Affordance Models Using Simulations and Crowdsourcing Adam Allevato Department of Mechanical Engineering The University …

A survey on conversational recommender systems
D Jannach, A Manzoor, W Cai, L Chen – arXiv preprint arXiv:2004.00646, 2020 – arxiv.org
… The work presented in [159], on the other hand, supports a hybrid visual/natural language interaction mechanism, where recommendations are displayed visually, and users can provide feedback to certain features in a critiquing-like form in natural language …

Multimedia and human-computer interaction (Interaccion 2018)[SI 1141T]
C Manresa-Yee, R Mas-Sanso – Multimedia Tools and Applications, 2020 – Springer
… Santos, Abreu, Beça et al. present “Voice Interaction on TV: analysis of natural language interaction models and recommendations for voice user interfaces”. The authors evaluate a set of voice interaction models to identify the most appropriate solution for interactive television …

Practical Cross-modal Manifold Alignment for Grounded Language
AT Nguyen, LE Richards, GY Kebe, E Raff… – arXiv preprint arXiv …, 2020 – arxiv.org
Page 1. Practical Cross-modal Manifold Alignment for Grounded Language Andre T. Nguyen,1,2 Luke E. Richards,1,2 Gaoussou Youssouf Kebe,1 Edward Raff,1,2 Kasra Darvish,1 Frank Ferraro,1 Cynthia Matuszek1 1 University …

Reaching broader audiences with data visualization
B Lee, EK Choe, P Isenberg, K Marriott… – … computer graphics and …, 2020 – ieeexplore.ieee.org
… Natural language interaction, espe- cially when combined with direct manipulation, can lower the barrier to access data by making it easy to express data-oriented questions without learning native database query languages or spe- cific user interfaces.19 Such interfaces could …

Social and Robust Navigation for Indoor Robots Based on Object Semantic Grid and Topological Map
J Zhang, W Wang, X Qi, Z Liao – Applied Sciences, 2020 – mdpi.com
… Keywords: object sematic grid and topological map; indoor robot navigation; natural language interaction; auxiliary navigation point; segmented global path planning object sematic grid and topological map; indoor robot navigation; natural language interaction; auxiliary …

The impact of adding perspective-taking to spatial referencing during human–robot interaction
FI Do?an, S Gillet, EJ Carter, I Leite – Robotics and Autonomous Systems, 2020 – Elsevier
JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Skip to main content Skip to article …

Multimodal Interaction: Correlates of Learners’ Metacognitive Skill Training Negotiation Experience
D Spiliotopoulos, E Makri, C Vassilakis, D Margaris – Information, 2020 – mdpi.com
… Such multimodal metacognitive training system allows (a) extended cooperation between negotiating agents (human and virtual) in order to reach a designated consensus over negotiation issues, (b) natural language interaction by both interacting agents (human and virtual …

An ontology-based conversation system for knowledge bases
A Quamar, C Lei, D Miller, F Ozcan, J Kreulen… – Proceedings of the …, 2020 – dl.acm.org
Page 1. An Ontology-Based Conversation System for Knowledge Bases Abdul Quamar1, Chuan Lei1, Dorian Miller2, Fatma Özcan1, Jeffrey Kreulen2, Robert J Moore1, Vasilis Efthymiou1? ahquamar|fozcan|millerbd|kreulen …

Chatbot Research and Design: Third International Workshop, CONVERSATIONS 2019, Amsterdam, The Netherlands, November 19–20, 2019, Revised …
A Følstad, T Araujo, S Papadopoulos, ELC Law… – 2020 – books.google.com
… Design….. 79 Jasper Feine, Ulrich Gnewuch, Stefan Morana, and Alexander Maedche Conversational Web Interaction: Proposal of a Dialog-Based Natural Language Interaction Paradigm for the Web …

On Communicative Failures in Cross-Cultural Discourse
AR Salakhova, EV Sergeeva, VA Bogorodskiy – 2020 – journals.scu.ac.ir
… The analysis of particular communicative failures in the process of cross-cultural natural language interaction allows for the creation and / or correction of tactics of verbal behaviour that can be effectively used in teaching Russian as a foreign language, for example, when …

Voice interaction game design and gameplay
FJ Allison – 2020 – minerva-access.unimelb.edu.au
Page 1. VOICE INTERACTION GAME DESIGN AND GAMEPLAY Fraser Allison ORCID: 0000-0002-7005-7390 Submitted in total fulfilment of the requirements of the degree of Doctor of Philosophy January 2020 School of Computing …

A Question Answering System For Interacting with SDMX Databases
G Thiry, I Manolescu, L Liberti – The 6 Natural Language Interfaces for the …, 2020 – hal.inria.fr
… In the remainder of the paper, we describe the SDMX standard (Section 2), before delving into our contribution: an architecture and algorithms for an interactive, English-speaking agent allowing natural language interaction with SDMX databases (Section 3 to Section 6). We …

An AI-enabled assembly support system for industrial production?
M Forsman, B Björklund, H Björklund, J Björklund – researchgate.net
… In the long term, we think the system would be most easily accessed if integrated as part of a protective head visor, complete with headphones and microphone for natural-language interaction, eg, to enter NCR:s. Preliminary experiments with the Microsoft HoloLens are …

Deep learning model for identifying the Arabic language learners based on gated recurrent unit network
S Mechti, R Alroobaea, M Krichen… – Int J Adv Comput Sci …, 2020 – researchgate.net
… II. RELATED WORK Nowadays, other languages apart from English language [1] paying attention to researchers in order to evaluate the applicability of Natural Language Interaction (NLI) methods to other languages [2]. To …

Human Computer Interfaces Reconsidered: A Conceptual Model for Understanding User Interfaces
SK Stigberg – International Conference on Human-Computer …, 2020 – Springer
… 3). Historically DM interaction style and GUI interface paradigm are intertwined, but Mobile UI and TUI are paradigms implementing the DM interaction style, too. Similar examples can be found for command-based and natural language interaction styles …

Employing a chatbot for news dissemination during crisis: Design, implementation and evaluation
TA Maniou, A Veglis – Future Internet, 2020 – mdpi.com
… It is worth noting that chatbot implementations based on natural language interaction can be considered to be overrated for disseminating existing structured (in some sense) information (eg, symptoms, existing cures, available medication, restriction in movement, etc.) …

The AMIRO Social Robotics Framework: Deployment and Evaluation on the Pepper Robot
A? Ghi??, AF Gavril, M Nan, B Hoteit, IA Awada… – Sensors, 2020 – mdpi.com
… The framework includes robotic services for navigation, person detection and recognition, multi-lingual natural language interaction and dialogue management, as well as activity recognition and general behavior composition …

Bringing Cognitive Augmentation to Web Browsing Accessibility
A Pina, M Baez, F Daniel – arXiv preprint arXiv:2012.03743, 2020 – arxiv.org
… Page 12. 12 A. Pina et al. 4. Baez, M., Casati, F.: Remembering florian daniel. IEEE Internet Computing 24(03), 58–59 (2020) 5. Baez, M., Daniel, F., Casati, F.: Conversational web interaction: Proposal of a dialog-based natural language interaction paradigm for the web …

Engineering Reliable Interactions in the Reality-Artificiality Continuum
D Ancona, C Bassano, M Chessa, V Mascardi… – arXiv preprint arXiv …, 2020 – arxiv.org
… requirement. As far as the AE and VE areas in Figure 1 are concerned, many solid proposals to integrate robotics and VR/AR exist, but these proposals do not take human-robot natural language interaction into account. Seminal …

Voice+ Tactile: Augmenting In-vehicle Voice User Interface with Tactile Touchpad Interaction
J Jung, S Lee, J Hong, E Youn, G Lee – … of the 2020 CHI Conference on …, 2020 – dl.acm.org
Page 1. Voice+Tactile: Augmenting In-vehicle Voice User Interface with Tactile Touchpad Interaction Jingun Jung1, Sangyoon Lee1, Jiwoo Hong2, Eunhye Youn1, Geehyuk Lee1 1HCI Lab, School of Computing, KAIST, Daejeon …

A Web Augmentation Framework for Accessibility Based on Voice Interaction
C González-Mora, I Garrigós, S Casteleyn… – … Conference on Web …, 2020 – Springer
… 252–260 (2019)Google Scholar. 2. Baez, M., Daniel, F., Casati, F.: Conversational web interaction: proposal of a dialog-based natural language interaction paradigm for the web. In: Følstad, A., et al. (eds.) CONVERSATIONS 2019. LNCS, vol. 11970, pp. 94–110 …

Design and Evaluation of an Adaptive Dialog-Based Tutoring System for Argumentation Skills
T Wambsganss, M Söllner, JM Leimeister – 2020 – aisel.aisnet.org
… standard of human tutors (eg, Winkler et al. 2019). PCAs are software programs that communicate with users through natural language interaction interfaces (Shawar and Atwell 2005). By using an adaptive PCA as a tutor for …

The rise of chatbots–new personal assistants in foreign language learning
I Dokukina, J Gumanova – Procedia Computer Science, 2020 – Elsevier
… 3. Role in education The whole communication with these bots is happening in the form of a natural language interaction via plain text messages or more sophisticated oral talk, which requires speech recognition, semantic analysis and speech synthesis …

Exploring Design Principles for Enterprise Chatbots: An Analytic Hierarchy Process Study
J Feine, M Adam, I Benke, A Maedche… – … Conference on Design …, 2020 – Springer
… Callejas, Z., López-Cózar, R., Abalos, N., Griol, D.: Affective conversational agents: the role of personality and emotion in spoken interactions. In: Conversational Agents and Natural Language Interaction: Techniques and Effective Practices, pp. 203–222 (2011) …

CLAI: A Platform for AI Skills on the Command Line
M Agarwal, JJ Barroso, T Chakraborti, EM Dow… – arXiv preprint arXiv …, 2020 – arxiv.org
… Page 3. Figure 2: CLAI natural language interaction example. CLAI Explicitly Invoked In order to test skills or to force assistance from CLAI, a user may opt to demand a response from CLAI using the command notation below …

A Virtual Assistant for Natural Interactions in Museums
M Dugulean?, VA Briciu, IA Duduman, OM Machidon – Sustainability, 2020 – mdpi.com
… users to explore diverse cultural content from around the world and provides enhanced experiences by having increased accessibility through the unique interface that our system, titled “IA”, integrates: an avatar engaging the user through spoken natural language interaction …

Towards Developing Trust-Supporting Design Features for AI-Based Chatbots in Customer Service
N Zierau, M Hausch, O Bruhin, M Söllner – 2020 – aisel.aisnet.org
… et al. 2017). The humanlike traits of chatbots, in particular their capability for natural language interaction and intelligent collaboration, may even highlight the issue of trust (Holtgraves et al. 2007). Nonetheless, considerable …

Challenges of a real-world HRI study with non-native english speakers: Can personalisation save the day?
B Irfan, M Hellou, A Mazel, T Belpaeme – Companion of the 2020 ACM …, 2020 – dl.acm.org
… a negative user experience. KEYWORDS Personalisation; Real-World Study; Natural Language Interaction ACM Reference Format: Bahar Irfan, Mehdi Hellou, Alexandre Mazel, and Tony Belpaeme. 2020. Challenges of a Real …

From Robotic Process Automation to Intelligent Process Automation
T Chakraborti, V Isahagian, R Khalaf… – … Conference on Business …, 2020 – Springer
… interactive mode. The natural language interaction helps democratize access to data, automation, and analytics for a broader range of business users enabling faster adaptation by users and greater personalization [69]. Chat …

A Fuzzy Inference System for a Visually Grounded Robot State of Mind
A Singh, N Baranwal, KF Richter – 24th European Conference on …, 2020 – diva-portal.org
… A Fuzzy Inference System for a Visually Grounded Robot State of Mind 2406 Page 7. 5 NATURAL LANGUAGE INTERACTION … We detailed how this graph and the fuzzy inference system can be used in natural language interaction between human and robot …

Users’ experiences with chatbots: findings from a questionnaire study
A Følstad, PB Brandtzaeg – Quality and User Experience, 2020 – Springer
For chatbots to be broadly adopted by users, it is critical that they are experienced as useful and pleasurable. While there is an emerging body of researc.

DigiMo-towards developing an emotional intelligent chatbot in Singapore
AI Niculescu, I Kukanov, B Wadhwa – … Research from Asia and on Asian …, 2020 – dl.acm.org
… Perplexity measurements from automatic testing, as well as feedback from 6 expert evaluators confirmed the chatbot answers have high accuracy. Author Keywords Authors’: Natural language interaction; deep learning; data annotation; emotion; chatbot; expert evaluation …

LEAVES (optimizing the mentaL health and resiliencE of older Adults that haVe lost thEir spouSe via blended, online therapy): Proposal for an Online Service …
L van Velsen, M Cabrita, H Op den Akker… – JMIR research …, 2020 – researchprotocols.org
Background: Loss of a spouse is a frequent occurrence in later life. While most older adults successfully process this loss and will return to a normal life, about 10% of the individuals are unable to cope, and progress to prolonged grief (PG). PG, in turn, can result in mental and physical …

A Conversational Agent for Mobile Assisted Language Learning
G Robino, S Torsani, F Ravicchio – researchgate.net
… Figure 4. Examples of disambiguation menues The final UI was successful in teachers and students’ feedback, achieving a versatile and adaptable interaction, that allows a full natural language interaction for advanced users (with language level >= A1) and a simplified

Describing Unseen Videos via Multi-Modal Cooperative Dialog Agents
Y Zhu, Y Wu, Y Yang, Y Yan – European Conference on Computer Vision, 2020 – Springer
… Different from the VQA that only involves a single round of natural language interaction, visual dialog requires machines to maintain multiple rounds of conversation. Several datasets have been collected for this task [10, 12]. Jain et al …

Dempster-Shafer theoretic learning of indirect speech act comprehension norms
R Wen, MA Siddiqui, T Williams – … of the AAAI Conference on Artificial …, 2020 – ojs.aaai.org
Page 1. The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20) Dempster-Shafer Theoretic Learning of Indirect Speech Act Comprehension Norms Ruchen Wen, Mohammed Aun Siddiqui, Tom Williams MIRRORLab …

Designing a Conversational Agent as a Formative Course Evaluation Tool
T Wambsganss, R Winkler, P Schmid, M Söllner – 2020 – kobra.uni-kassel.de
… CAs are software programs which communicate with users through natural language interaction interfaces [8, 9]. Compared to traditional quantitative course evaluations, CAs are able to reach students on their everyday devices and build up a human-like interaction with them …

Model-Driven Chatbot Development
S Pérez-Soler, E Guerra, J de Lara – International Conference on …, 2020 – Springer
… 216–226. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-41913-4_18CrossRefGoogle Scholar. 2. Baez, M., Daniel, F., Casati, F.: Conversational web interaction: proposal of a dialog-based natural language interaction paradigm for the web. In: Følstad, A., et al …

An Analysis of Commitments in Ontology Language Design
B Brodaric, F Neuhaus – Formal Ontology in Information Systems …, 2020 – books.google.com
… an element in the language. Besides the philosophical arguments, positionalism is also deemed better for natural language interaction and expressing more types of constraints than with stan- Page 68. 52 PR Fillottrani and …

(Non-) Interacting with conversational agents: perceptions and motivations of using chatbots and voice assistants
P Weber, T Ludwig – Proceedings of the Conference on Mensch und …, 2020 – dl.acm.org
Page 1. (N -)I ac C aa A : P ca M a UC aba V c A a Philip Webe C be -Ph ical S em Uni ei of Siegen Siegen, Germany philip. ebe @ ni- iegen.de oma L d ig C be -Ph ical S em Uni ei of Siegen Siegen, Germany thomas.ludwig@uni-siegen.de …

Design and development of a social, educational and affective robot
C Gena, C Mattutino, G Perosino… – … IEEE Conference on …, 2020 – ieeexplore.ieee.org
… We have made these requirements converge into a first release of a software architecture that controls the main components (natural language interaction, affective interaction, 6https://developers.google.com/blockly/ Page 5 …

Learning Word Representation for the Cyber Security Vulnerability Domain
S Mumtaz, C Rodriguez, B Benatallah… – … Joint Conference on …, 2020 – ieeexplore.ieee.org
… B. Model Applications In this paper, we developed a domain specific WE targeting the cyber security vulnerability domain. Three exemplary applications of our WE include query expansion, natural language interaction and job recommendation … Natural Language Interaction …

Representing Spatial Object Relations as Parametric Polar Distribution for Scene Manipulation Based on Verbal Commands
R Kartmann, Y Zhou, D Liu, F Paus, T Asfour – ras.papercept.net
… However, distances are fixed at all times and action parameters have a limited number of values. In [20], spatial relations are used as a basis to ground abstract spatial concepts such as columns or groups of objects for natural language interaction. Shridhar et al …

A Deep Learning Cognitive Architecture: Towards a Unified Theory of Cognition
I Panella, LZ Fragonara, A Tsourdos – Proceedings of SAI Intelligent …, 2020 – Springer
… Symbolic reasoning. Speech to text technologies. Classification and clustering. Voice commands – Ability to control the system through natural language interaction. Consciousness – Exhibit self-awareness and a sense of self. Anomaly Detection. Meta-reasoning. Diagnostic …

Explanation augmented feedback in human-in-the-loop reinforcement learning
L Guan, M Verma, S Kambhampati – arXiv preprint arXiv:2006.14804, 2020 – arxiv.org
Page 1. Explanation Augmented Feedback in Human-in-the-Loop Reinforcement Learning Lin Guan * 1 Mudit Verma * 1 Subbarao Kambhampati 1 Abstract Human-in-the-loop Reinforcement Learning (HRL) aims to integrate …

Team Interaction Strategies for Human–Autonomy Teaming in Next Generation Combat Vehicles
GJ Lematta, CJ Johnson, E Holder… – Proceedings of the …, 2020 – journals.sagepub.com
… Interaction Studies, 8(3), 483–500. Holder, E. (2017). “Defining Soldier Intent in a Human-Robot Natural Language Interaction Context.” ARL Technical Report TR-195. Huang, L., Johnson, C., Holder, E., Lematta, G., Bhatti, S., Barnes, M., & Cooke, N. (nd) …

An Analysis of Commitments in Ontology Language Design
RF Pablo, CM Keet – meteck.org
… element in the language. Besides the philosophical arguments, positionalism is also deemed better for natural language interaction and expressing more types of constraints than with stan- Page 7. dard view relationships [26 …

Talking with chatbots: the influence of visual appearance and conversational style of text-based chatbots on UX and future interaction intention
AM Stan – 2020 – essay.utwente.nl
… 2.5 Conversational style of chatbots Today, there is an abundance of natural language interaction on the internet between humans and conversational agents, in contexts of customer service, marketing, e-commerce, e- learning, e-health etc …

Usable and Acceptable Response Delays of Conversational Agents in Automotive User Interfaces
M Funk, C Cunningham, D Kanver, C Saikalis… – … on Automotive User …, 2020 – dl.acm.org
… Pfleging, and Florian Alt. 2019. Visualizing natural language interaction for conversational in-vehicle information systems to minimize driver distraction. Journal on Multimodal User Interfaces 13, 2 (2019), 71–88. https://doi.org …

Annotation-based, automatic generation of conversational agents for conversational Web browsing of static site
P CHITTÒ – 2020 – politesi.polimi.it
… M.Sc. Thesis by: Chitt`o Pietro matriculation number 899045 Academic Year 2018-20019 Page 2. Page 3. Abstract English Version The thesis introduces what we call Conversational Web Browsing, ie a dialog based natural language interaction with a web site …

Interactive Robotic Systems as Boundary-Crossing Robots – the User’s View*
K Watanabe, K Jokinen – 2020 29th IEEE International Conference on … – ieeexplore.ieee.org
… [7] K. Jokinen, “Rational Communication and Affordable Natural Language Interaction for Ambient Environments,” in Spoken Dialogue Systems for Ambient Environments, Lecture Notes in Artificial Intelligence, Berlin: Springer-Verlag, 2010, vol. 6392, pp. 163–168 …

Conversational BI: an ontology-driven conversation system for business intelligence applications
A Quamar, F Özcan, D Miller, RJ Moore… – Proceedings of the …, 2020 – dl.acm.org
… Ontologies provide a powerful abstraction of representing domain knowledge in terms of relevant entities, data properties and relationships between the entities which is much closer to and intuitive for natural language interaction …

Model-driven chatbot development
J de Lara – miso.es
Page 1. Model-driven chatbot development Sara Pérez-Soler[0000?0002?4558?7111], Esther Guerra[0000?0002?2818?2278], and Juan de Lara[0000?0001?9425?6362] Universidad Autónoma de Madrid (Spain) (Sara.PerezS, Esther.Guerra, Juan.deLara)@uam.es Abstract …

An empirically grounded sociotechnical perspective on designing virtual agents for older adults
J Sin, C Munteanu – Human–Computer Interaction, 2020 – Taylor & Francis
Autonomous, intelligent virtual agents (IVAs) are increasingly used commercially in essential information spaces such as healthcare. Existing IVA research has focused on microscale interaction patt…

Toward Forgetting-Sensitive Referring Expression Generationfor Integrated Robot Architectures
T Williams, T Johnson, W Culpepper… – arXiv preprint arXiv …, 2020 – arxiv.org
Page 1. Toward Forgetting-Sensitive Referring Expression Generation for Integrated Robot Architectures Tom Williams twilliams@mines.edu Torin Johnson tajohnson@mines.edu Will Culpepper wculpepper@mines.edu Kellyn Larson kellynrlarson@gmail.com …

Serious Game Design for and with Adolescents: Empirically Based Implications for Purposeful Games
B Göbl, D Hristova, S Jovicic, H Hlavacs – International Conference on …, 2020 – Springer
… approaches [27, 39]. The advent of messaging platforms, especially among our prospective players [28], for example, suggests natural language interaction as a promising solution. Session Design. Several smartphone practices …

From Robotic Process Automation to Intelligent Process Automation: Emerging Trends
T Chakraborti, V Isahagian, R Khalaf… – arXiv preprint arXiv …, 2020 – arxiv.org
… interactive mode. The natural language interaction helps democratize access to data, automation, and analytics for a broader range of business users enabling faster adaptation by users and greater personalization [69]. Chat …

RAIN: A Vision Calibration Tool using Augmented Reality
A Cleaver, E Short, J Sinapov – eecs.tufts.edu
… 33–40. [23] Tom Williams, Gordon Briggs, Bradley Oosterveld, and Matthias Scheutz. 2015. Going beyond literal command-based instructions: Extending robotic natural language interaction capabilities. In Twenty-Ninth AAAI Conference on Artificial Intelligence.

Cue Me In: Content-Inducing Approaches to Interactive Story Generation
F Brahman, A Petrusca, S Chaturvedi – arXiv preprint arXiv:2010.09935, 2020 – arxiv.org
Page 1. Cue Me In: Content-Inducing Approaches to Interactive Story Generation Faeze Brahman†, Alexandru Petrusca†, and Snigdha Chaturvedi‡ †Department of Computer Science and Engineering, University of California …

Optimized Robotic Information Gathering using Semantic Language Instructions
IC Rankin, S McCammon, GA Hollinger – research.engr.oregonstate.edu
… In Proc. Twenty-fifth AAAI Conference on Artificial Intelligence, 2011. [24] Mycal Tucker, Derya Aksaray, Rohan Paul, Gregory J Stein, and Nicholas Roy. Learning unknown groundings for natural language interaction with mobile robots. In Robotics Research, pages 317–333 …

Learning Object Placements For Relational Instructions by Hallucinating Scene Representations
O Mees, A Emek, J Vertens… – 2020 IEEE International …, 2020 – ieeexplore.ieee.org
Page 1. Learning Object Placements For Relational Instructions by Hallucinating Scene Representations Oier Mees*, Alp Emek*, Johan Vertens, Wolfram Burgard Abstract—Robots coexisting with humans in their environ- ment …

Philosophical Approaches to Smart Education and Smart Cities
J Teira-Lafuente, AB Gil-González… – … in Methodologies and …, 2020 – Springer
… All of which adds important advantages in programming issues where natural language interaction with humans is ubiquitous and in areas that aim to simulate human reasoning about possibilities or inductions [5]. Table 1. The four categorical propositions TFL. SaP:=. ? S + P …

Ontology-based Question Answering Systems over Knowledge Bases: A Survey.
W Franco, CVS Avila, A Oliveira, G Maia, A Brayner… – ICEIS (1), 2020 – researchgate.net
… Ontology Natural Language Interaction, ONLI+ (Mithun et al., 2007): NLP is used as front-end for the Racer reasoner (Haarslev and Möller, 2001) and nRQL new Racer Query Language (Haarslev et al., 2004), which augments and extends the func- tional API to query a …

Towards Emotion-Aware User Simulator for Task-Oriented Dialogue
R Zhang, K Yin, L Li – arXiv preprint arXiv:2011.09696, 2020 – arxiv.org
… experimental results without much cost. 2 Task-oriented Dialogue Systems We consider a dialogue system that can help users achieve tasks in a specific domain through natural language interaction. During the conversation, the agent …

As Smart as a Human? Leveraging Models of Human Intelligence to Assess the Intelligence of Systems
BR Brown – INSIGHT, 2020 – Wiley Online Library
… Until we have access to HAL (2001: A Space Odyssey), Cmdr. Data (Star Trek: The Next Generation) or C3PO (Star Wars movies), we need methods other than natural language interaction to assess system intelligence. WHEN …

Endoscopy simulation for pre-clerkship students
AR Persad, LK Verma, R Persad – Canadian medical education …, 2020 – ncbi.nlm.nih.gov
… to shadowing. Future sessions may integrate interactive patient simulation into the session as suggested previously 4 . Advances in simulation of clinical experience using natural language interaction may enhance this. 5. We …

Guided Transformer: Leveraging Multiple External Sources for Representation Learning in Conversational Search
H Hashemi, H Zamani, WB Croft – … of the 43rd International ACM SIGIR …, 2020 – dl.acm.org
… interactive IR tasks. Conversational system research in the form of natural language interaction started in the form of human-human interactions [11] or human-system interac- tions with rule-based models [52]. Some early work …

From HMI to HMIs: Towards an HMI framework for automated driving
K Bengler, M Rettenmaier, N Fritz, A Feierle – Information, 2020 – mdpi.com
During automated driving, there is a need for interaction between the automated vehicle (AV) and the passengers inside the vehicle and between the AV and the surrounding road users outside of the car. For this purpose, different types of human machine interfaces (HMIs) are …

Alexa depression and anxiety self-tests: a preliminary analysis of user experience and trust
JC Quiroz, T Bongolan, K Ijaz – Adjunct Proceedings of the 2020 ACM …, 2020 – dl.acm.org
… Griol. 2011. Affective conversational agents: the role of personality and emotion in spoken interactions. In Conversational agents and natural language interaction: Techniques and effective practices. IGI Global, 203–222. [4] Russell …

Representing Functional Relationships of Adaptive Instructional Systems in a Conceptual Model
R Sottilare, A Knowles, J Goodell – International Conference on Human …, 2020 – Springer
… agents). In addition to the conventional human-computer interface features, some recent systems have integrated natural language interaction [20, 21, 22], speech recognition [23], and the sensing of learner emotions [24, 25] …

Do Virtual Humans Dream of Digital Sheep?
MA Carrozzino, R Galdieri… – IEEE Computer …, 2020 – ieeexplore.ieee.org
… for the time being. VHs are complex objects that com- bine very different aspects such as visual appearance, natural language interaction, non- verbal communication, animation, and some- times even feelings. It is unlikely, at …

Therapist vibe: children’s expressions of their emotions through storytelling with a chatbot
KA Santos, E Ong, R Resurreccion – Proceedings of the Interaction …, 2020 – dl.acm.org
Page 1. Therapist Vibe: Children’s Expressions of their Emotions through Storytelling with a Chatbot Kyle-Althea Santos Ethel Ong Ron Resurreccion De La Salle University De La Salle University De La Salle University Manila, Philippines Manila, Philippines Manila, Philippines …

From Robotic Process Automation to Intelligent Process Automation
Y Khazaeni, V Muthusamy, Y Rizk, M Unuvar – Business Process Management – Springer
… interactive mode. The natural language interaction helps democratize access to data, automation, and analytics for a broader range of business users enabling faster adaptation by users and greater personalization [69]. Chat …

Computer-aided teaching mode of oral English intelligent learning based on speech recognition and network assistance
Y Hai – Journal of Intelligent & Fuzzy Systems, 2020 – content.iospress.com
… dialogue is closely related to the development of speech recognition and synthesis technology. At present, under the rapid development of speech recog- nition technology, human-machine natural language interaction has achieved considerable results …

Learning recommendation with formal concept analysis for intelligent tutoring system
J Muangprathub, V Boonjing, K Chamnongthai – Heliyon, 2020 – Elsevier
… system. In addition to the conventional human-computer interface features, some recent systems have had natural language interaction [24], [25], speech recognition [26], [27], and the sensing of student emotions [27], [28]. Adaptive …

The Role of Psychological Reactance in Human-computer Interaction
P Ehrenbrink – 2020 – Springer
… It was already mentioned, that intelligent systems may rely on natural language interaction and proactive behavior, what can resemble human behavior. But there are also other aspects in which intelligent sys- tems are becoming more humanlike …

Persuasive Assistant Study—Moderator Variables
P Ehrenbrink – The Role of Psychological Reactance in Human …, 2020 – Springer
… The skill was implemented by a student in the frame of a master’s thesis. The skill was interactive via natural language interaction. It applied two different persuasive strategies to persuade its users into adding more items to the list …

Sampling Approach Matters: Active Learning for Robotic Language Acquisition
N Pillai, E Raff, F Ferraro, C Matuszek – arXiv preprint arXiv:2011.08021, 2020 – arxiv.org
Page 1. Sampling Approach Matters: Active Learning for Robotic Language Acquisition Nisha Pillai Univ. of Maryland, Baltimore County Edward Raff Booz Allen Hamilton Univ. of Maryland, Baltimore County Francis Ferraro Univ. of Maryland, Baltimore County …

Role of Ubiquitous Computing and Mobile WSN Technologies and Implementation
G Suciu, I Hussain, G Petrescu – 2020 International Conference …, 2020 – ieeexplore.ieee.org
… Pertimm partner. Viky allows natural language interaction with the Smart Home application, so that automatic orders can be made. To monitor all sorts of required data, uRADMonitor is considered along with Libelium platforms. The …

Non-Verbal Auditory Input for Controlling Binary, Discrete, and Continuous Input in Automotive User Interfaces
M Funk, V Tobisch, A Emfield – Proceedings of the 2020 CHI Conference …, 2020 – dl.acm.org
Page 1. CHI 2020 Paper CHI 2020, April 25–30, 2020, Honolulu, HI, USA Non-Verbal Auditory Input for Controlling Binary, Discrete, and Continuous Input in Automotive User Interfaces Markus Funk Vanessa Tobisch Adam Emfield Cerence GmbH Cerence GmbH Cerence Inc …

Gender Bias in Chatbot Design
A Maedche – Chatbot Research and Design: Third International …, 2020 – Springer
… 4 Male: 8 Customer service “To answer questions about delivered goods or services” 532 Female: 251 Male: 55 Female: 137 Male: 22 Female: 164 Male: 33 Knowledge management “To acquire information from employees through natural language interaction” 63 Female: 30 …

The Need for Personalized Learning and the Potential of Intelligent Tutoring Systems
B Morgan, AM Hogan, D Hampton… – Handbook of learning …, 2020 – researchgate.net
… AutoTutor presents learners with two conversational agents who encourage reasoning and conceptual understanding through natural language interaction (Graesser, 2016; Nye … BEETLE-II. In contrast, the fine-grained natural language interaction components did not predict …

A Learning Engineering Model for Learner-Centered Adaptive Systems
J Goodell, KPKP Thai – International Conference on Human-Computer …, 2020 – Springer
… It interprets the learner’s input (eg speech, typing, clicking) and produces outputs (eg text, diagrams, animations, agents). In addition to the conventional human-computer interface features, recent systems have incorporated natural language interaction (eg Graesser et al …

Role of Chatbot in Customer Service: A Study from the Perspectives of the Banking Industry of Bangladesh
S Sarbabidya, T Saha – International Review of Business …, 2020 – zantworldpress.com
… found more considerate and empathetic than human. The humanlike qualities of chatbots, such as their natural language interaction, may make trust particularly important (Holtgraves et al, 2007). As basis for a framework of …

Internet Finance Innovation and Entrepreneurship Based on Classification Algorithm
G Honglei – International Conference on Application of Intelligent …, 2020 – Springer
… In addition, cognitive intelligence (that is, AI-driven natural language interaction) technology will bring a “dialogue as a platform” model, improving transaction autonomy and reducing transaction costs for ordinary users. 2. Operational Efficiency and Strategic Optimization …

Query Reformulation using Query History for Passage Retrieval in Conversational Search
SC Lin, JH Yang, R Nogueira, MF Tsai… – arXiv preprint arXiv …, 2020 – arxiv.org
… Conversational search [38] covers a broad range of perspec- tives to facilitate an IR task in a conversational context: natural language interaction, cumulative clarification [4], feedback col- lection, and information needs profiling during conversations …

Towards a Standardisation of Computational Models of Affect: OWL and Machine Learning
G Tuccini, L Baronti, L Corti… – … . MENTE Journal of …, 2020 – humanamente.eu
Page 1. HUMANA.MENTE Journal of Philosophical Studies, 2020, 13, 37, 66–97 ISSN: 1972-1293 Towards a Standardization of Computational Models of Affect: OWL and Machine Learning Gianmarco Tuccini † gianmarco.tuccini@stud.unifi.it …

If I Hear You Correctly: Building and Evaluating Interview Chatbots with Active Listening Skills
Z Xiao, MX Zhou, W Chen, H Yang, C Chi – Proceedings of the 2020 CHI …, 2020 – dl.acm.org
… CHI 2020, April 25–30, 2020, Honolulu, HI, USA Paper 4 Page 2 Page 3. into three categories: survey bots, AI-powered chatbots, and embodied AI interviewers. Survey bots text users a set of choice-based questions with little natural language interaction [29, 49, 51] …

Maneuvers Under Estimation of Human Postures for Autonomous Navigation of Robot KUKA YouBot
C Gordón, S Barahona, M Cumbajín… – Proceedings of SAI …, 2020 – Springer
… In: Advances in neural information processing systems, pp. 91–99 (2015)Google Scholar. 17. Tucker, M., Aksaray, D., Paul, R., Stein, GJ, Roy, N.: Learning unknown groundings for natural language interaction with mobile robots. In: Robotics Research, pp. 317–333 …

Dialogue Structure Parsing on Multi-Floor Dialogue Based on Multi-Task Learning
S Kawano, K Yoshino, D Traum, S Nakamura – sap.ist.i.kyoto-u.ac.jp
… The robot is in an unfamiliar physical environment, where it performs object searches through natural language interaction. The dataset consists of “Wizard of Oz” dialogues where two wizards con- trol the robot and communicate with the human commander …

A Framework for Design of Conversational Agents to Support Health Self-Care for Older Adults
DG Morrow, HC Lane, WA Rogers – Human Factors, 2020 – journals.sagepub.com
ObjectiveWe examined the potential of conversational agents (CAs) to support older adults’ self-care related to chronic illness in light of lessons learned from decades of pedagogical agent researc…

Design of conversational agents for CSCL: comparing two types of agent intervention strategies in a university classroom
K Michos, JI Asensio-Pérez, Y Dimitriadis… – European Conference …, 2020 – Springer
… 1 Introduction. Conversational Agents (CAs) have recently gained momentum in different fields such as Healthcare, Marketing, Tourism, and Education and aim to support natural language interaction between humans and computers [20] …

“I’m Here for You”: Can Social Chatbots Truly Support Their Users? A Literature Review
MMC van Wezel, EAJ Croes, ML Antheunis – International Workshop on …, 2020 – Springer
… In: Pérez-Marín, D., Pascual-Nieto, I. (Eds.) Conversational agents and natural language interaction: techniques and effective practices, IGI Global, pp. 203–222 (2011).Google Scholar. 23. Chaves, AP, Gerosa, MA: How should my chatbot interact …

Inferring Task-Space Central Pattern Generator Parameters for Closed-loop Control of Underactuated Robots
ND Kent, RM Bhirangi, M Travers… – … on Robotics and …, 2020 – ieeexplore.ieee.org
… 2011. [2] R. Paul, J. Arkin, D. Aksaray, N. Roy, and TM Howard, “Efficient grounding of abstract spatial concepts for natural language interaction with robot platforms,” International Journal of Robotics Research, June 2018. [3 …

Challenges in the evaluation of conversational search systems
G Penha, C Hauff – KDD 2020 Workshop on Conversational Systems …, 2020 – ceur-ws.org
… 1 INTRODUCTION Conversational search is concerned with creating agents that fulfill an information need by means of a mixed-initiative conversation through natural language interaction, rather than the traditional turn-taking models exhibited in a traditional search engine’s …

Conversational Web browsing: the case of form filling
SL GOUNOUE GUIFFO – 2020 – politesi.polimi.it
Page 1. POLITECNICO DI MILANO Master of Science in Computer Science and Engineering Dipartimento di Elettronica, Informazione e Bioingegneria Conversational Web Browsing: the Case of Form Filling Supervisors: Dr. Florian Daniel M.Sc …

Towards Designing Conversational Agents for Pair Programming: Accounting for Creativity Strategies and Conversational Styles
SK Kuttal, J Myers, S Gurka, D Magar… – … IEEE Symposium on …, 2020 – ieeexplore.ieee.org
Page 1. Towards Designing Conversational Agents for Pair Programming: Accounting for Creativity Strategies and Conversational Styles Sandeep Kaur Kuttal University of Tulsa Tulsa, OK, United States sandeep-kuttal@utulsa.edu …

Patents for NLP Software: An Empirical Review
BS Haney – Available at SSRN 3594515, 2020 – papers.ssrn.com
… 10,460,215 to Herold, et al., Natural language interaction for smart assistant (October 29, 2019) (Assigned to Microsoft.) 84 Manon Legrand, Deep Reinforcement Learning for Autonomous Vehicle Control among Human Drivers, Universite Libre de Bruxelles, 23 (2017) …

Cocox: Generating conceptual and counterfactual explanations via fault-lines
A Akula, S Wang, SC Zhu – Proceedings of the AAAI Conference on …, 2020 – ojs.aaai.org
Page 1. The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20) CoCoX: Generating Conceptual and Counterfactual Explanations via Fault-Lines Arjun R. Akula,1 Shuai Wang,2 Song-Chun Zhu1 1UCLA Center …

Place facets: a systematic literature review
E Hamzei, S Winter, M Tomko – Spatial Cognition & Computation, 2020 – Taylor & Francis
Place is a central concept in geography and a topic of interest in the social sciences, urban planning, architecture, and most recently in information science. The notion of place has therefore bee…

Development and preliminary testing of a technology-enhanced intervention to improve energy intake regulation in children
NA Reigh, BJ Rolls, JS Savage, SL Johnson, KL Keller – Appetite, 2020 – Elsevier
JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Skip to main content Skip to article …

A Unifying Framework for Human-Agent Collaborative Systems–Part I: Element and Relation Analysis
J Chen, Y Ding, B Xin, Q Yang… – IEEE transactions on …, 2020 – ieeexplore.ieee.org
… to understand by a human. Barange et al. [56] introduced a language framework C2BDI to achieve the natural language interaction and resource allo- cation between humans and agents. To eliminate ambiguity in syntax and …

Addressing the Recommender System Data Solicitation Problem with Engaging User Interfaces
Q Dao – 2020 – hammer.figshare.com
… may be a function of the application area. In high workload environments, the user will not have the spare capacity to fully engage an RS but natural language interaction might address such issues. When self-driving vehicle …

A Deep Learning Predictive Model for Source Code Analysis of a Dynamically Typed Language
RF Tiwang – 2020 – search.proquest.com
… So, NLP is the ability of computers to analyze, understand and generate human language, including speech and text. The next state of NLP is natural language interaction, which allows humans to communicate with computers using normal everyday language to perform tasks …

Standardization of ESM Chatbot Development
H Auvinen – 2020 – theseus.fi
Page 1. Hector Auvinen Standardization of ESM Chatbot De- velopment Metropolia University of Applied Sciences Bachelor of Engineering Industrial Management Bachelor’s Thesis 10 May 2020 Page 2. Abstract Author Title Number of Pages Date …

Hot Potatoes activities to improve grammatical accuracy across different proficiency courses
I Villarreal, EG Lacabex… – Journal of English …, 2020 – publicaciones.unirioja.es
… iCALL integrates natural language processing and artificial intelligence knowledge into CALL to design learning programs “that come closer to natural language interaction between humans than has been the case in traditional CALL” (Heift 2010: 443) …

Commonsense Reasoning to Guide Deep Learning for Scene Understanding
M Sridharan, T Mota – IJCAI, 2020 – ijcai.org
… [Paul et al., 2016] Rohan Paul, Jacob Arkin, Nicholas Roy, and Thomas Howard. Efficient Grounding of Abstract Spatial Concepts for Natural Language Interaction with Robot Manipulators. In Robotics: Science and Systems, Ann Arbor, USA, June 18-22, 2016 …

Effectiveness and safety of using Chatbots to improve mental health: Systematic review and meta-analysis
AA Abd-Alrazaq, A Rababeh, M Alajlani… – Journal of medical …, 2020 – jmir.org
Journal of Medical Internet Research – International Scientific Journal for Medical Research, Information and Communication on the Internet.

Assessing engagement during rescue operation simulated in virtual reality: a psychophysiological study
G Czarnek, P Strojny, A Strojny… – International Journal of …, 2020 – Taylor & Francis
The goal of this study was to investigate the patterns of engagement among professional firefighters during a rescue operation challenge simulated in a virtual reality (VR). The simulator offers a …

Advancing Visual Specification of Code Requirements for Graphs
D Yokelson – arXiv preprint arXiv:2007.14958, 2020 – arxiv.org
… REFERENCES [1] Exploratory Programming for the Arts and Humanities, Nick Montfort, The MIT Press, 2nd Edition, 2019. [2] Whitepaper: Preparing Data for Natural Language Interaction in Ask Data. https://www.tableau.com/learn/whitepapers/preparing-data-nlp-in- ask-data …

Toward Genuine Robot Teammates: Coordination Through Dialogue
F Gervits – 2020 – search.proquest.com
Page 1. Toward Genuine Robot Teammates: Coordination Through Dialogue A dissertation submitted by Felix Gervits, BS, MA In partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Science and Cognitive Science TUFTS UNIVERSITY …

Near and Dear: Designing Relatable VR Agents for Training Games
S Adinolf, P Wyeth, R Brown, L Simpson – 32nd Australian Conference …, 2020 – dl.acm.org
Page 1. Near and Dear: Designing Relatable VR Agents for Training Games Sonam Adinolf Queensland University of Technology Brisbane, Australia adinolfd@qut.edu.au Ross Brown Queensland University of Technology Brisbane, Australia r.brown@qut.edu.au …

Directed Research Project: Advancing Visual Specification of Code Requirements for Graphs
D Yokelson – cs.uoregon.edu
… REFERENCES [1] Exploratory Programming for the Arts and Humanities, Nick Montfort, The MIT Press, 2nd Edition, 2019. [2] Whitepaper: Preparing Data for Natural Language Interaction in Ask Data. https://www.tableau.com/learn/whitepapers/preparing-data-nlp-in- ask-data …

A Conversational Movie Recommender System
J Habib – 2020 – uis.brage.unit.no
… the results presented and reformulate the query based on that feedback. The purpose of a CRS is to find the users’ preferences via a natural language interaction/- dialogue with the users [58]. An important action for such dialogue systems is preference …

Intelligent Parking Systems–The Smart Assistant Thinks Around the Corner
K Keller – 2020 – aisel.aisnet.org
… it can also understand naturally spoken language. A natural language interaction between user and assistance system can be achieved by artificial intelligence (Goksel-Canbek and Mutlu, 2016). This is a crucial step to increase …

A Framework for Research in Human-Agent Negotiation
JT Mell – 2020 – search.proquest.com
… system, Google Assistant, and a human receptionist at a hair salon [83]. Ignoring the technological wizardry required to support natural language interaction, this conversation seems simple and mundane. Yet it highlights the …

A taxonomy and archetypes of smart services for smart living
M Fischer, D Heim, A Hofmann, C Janiesch, C Klima… – Electronic Markets, 2020 – Springer
Page 1. RESEARCH PAPER A taxonomy and archetypes of smart services for smart living Marcus Fischer1 & David Heim1 & Adrian Hofmann1 & Christian Janiesch1,2 & Christoph Klima1,3 & Axel Winkelmann1 Received: 27 …

USING SIMULATION FOR DEVELOPMENT OF AUTOMOBILE GAS DIESEL ENGINE SYSTEMS AND THEIR OPERATIONAL CONTROL
MG Shatrov, VV Sinyavski, AY Dunin… – … for Industry 4.0 …, 2020 – Wiley Online Library
… supervision. Cognitive computing is capable of natural language interaction, and APIs can have a chatbot or search assis- tant that understands queries, explains data insights and interacts with humans in natural language …

CONCEPT-SCHEME VERBALIZATION BY MEANS OF ENGLISH PHRASEOLOGY
E PANIN – ???????? ?????? ????????????? …, 2020 – visnyk-philology.uzhnu.edu.ua
… Pure Reason» (1781). It has been used in philosophy and cognition psychology since the 19th century to represent concepts for reason- ing, perception, problem solving and natural language interaction. According to Collins …

A pedagogical waste of time or a vital necessity: A qualitative study investigating teacher attitudes toward explicit grammar instruction in L2 learners
O Unge – 2020 – diva-portal.org
… The goal of implicit grammar instruction is to encourage grammar acquisition through a natural language interaction approach through communication in the target language without revealing the grammar explicitly to the learners …

Using Conceptual 10 Recurrence Analysis to Decompose Team Conversations
MT Tolston, GJ Funke, MA Riley… – … , and Measures in …, 2020 – books.google.com
… 2018). The current work was based on analyses of data aggregated at the between- team level, but the richness of the data obtained from natural language interaction means there are many more layers to unravel in future work …

Interactive task learning via embodied corrective feedback
M Appelgren, A Lascarides – Autonomous Agents and Multi-Agent …, 2020 – Springer
This paper addresses a task in Interactive Task Learning (Laird et al. IEEE Intell Syst 32:6–21, 2017). The agent must learn to build towers which ar.

Object semantic grid mapping with 2D LiDAR and RGB-D camera for domestic robot navigation
X Qi, W Wang, Z Liao, X Zhang, D Yang, R Wei – Applied Sciences, 2020 – mdpi.com
… However, when it comes to using the robots in the domestic scene, they lack semantic information for users to order them conveniently. For example, the goal point is defined in geometric coordinates, but humans are more inclined to use natural language interaction …

Achievements and Challenges in Explaining Deep Learning based Computer-Aided Diagnosis Systems
A Lucieri, MN Bajwa, A Dengel, S Ahmed – arXiv preprint arXiv …, 2020 – arxiv.org
… Among other things, the company uses the Deep Adaptive Semantic Logic (DASL) [79] and ARSENAL [80] methodologies developed by its parent company SRI International to explain DL models using rule-based reasoning and providing natural language interaction …

Language matters: a study about language communication with bilingual Swedish speakers in Finnish healthcare
M Mustajoki – 2020 – helda.helsinki.fi
Page 1. Language matters: a study about language communication with bilingual Swedish speakers in Finnish healthcare Marianne Mustajoki Doctoral dissertation, to be presented for public discussion with the permission of the Faculty …

Scientific and technological challenges in robocup
M Asada, O von Stryk – Annual Review of Control, Robotics, and …, 2020 – annualreviews.org
Since its inception in 1997, RoboCup has developed into a truly unique and long-standing research community advancing robotics and artificial intelligence through various challenges, benchmarks, an…

Prompto: Investigating Receptivity to Prompts Based on Cognitive Load from Memory Training Conversational Agent
SWT Chan, S Sapkota, R Mathews, H Zhang… – Proceedings of the …, 2020 – dl.acm.org
… Figure 1-left). Natural-language interaction and physiological understanding of users and could create efective conversational memory tutors which relate to and understand us better. Our work contributes with: • an investigation …

Draft, October 01, 2020. Submitted to Semantics & Pragmatics. Quote with care. Comments are welcome!
A Lücking, J Ginzburg – researchgate.net
Page 1. Draft, October 01, 2020. Submitted to Semantics & Pragmatics. Quote with care. Comments are welcome! Referential transparency as the proper treatment for …

Megatrends Defining the Future of Tourism: A Journey Within the Journey in 12 Universal Truths
VB Doorly – 2020 – Springer
Page 1. Anticipation Science 6 Valentina Boschetto Doorly Megatrends Defining the Future of Tourism A Journey Within the Journey in 12 Universal Truths Page 2. Anticipation Science Volume 6 Editor-in-Chief Roberto Poli, University of Trento, Trento, Italy Page 3 …

Offline reinforcement learning: Tutorial, review, and perspectives on open problems
S Levine, A Kumar, G Tucker, J Fu – arXiv preprint arXiv:2005.01643, 2020 – arxiv.org
Page 1. Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine1,2, Aviral Kumar1, George Tucker2, Justin Fu1 1UC Berkeley, 2Google Research, Brain Team Abstract In this tutorial …

Service-Oriented Computing: 18th International Conference, ICSOC 2020, Dubai, United Arab Emirates, December 14–17, 2020, Proceedings
E Kafeza – 2020 – books.google.com
… Let’s all remember the lessons he gave us by example to make our community a great place to be. References 1. Baez, M., Daniel, F., Casati, F.: Conversational web interaction: proposal of a dialog-based natural language interaction paradigm for the web …

The Technological Revolution Impacting on Travel Tourism and Hospitality Industry
VB Doorly – Megatrends Defining the Future of Tourism, 2020 – Springer
… normal. We define “natural language interaction” as a mode of interacting between human and machine where the human does not need to adjust and simplify their speaking flow to accommodate the machine understanding …

A Corpus Based Study on Extender Tags from a Learner Language Perspective
M Ojanperä – 2020 – utupub.fi
Page 1. “my wife says that you can be hooked on face powder or whatever you call it” A Corpus Based Study on Extender Tags from a Learner Language Perspective Marjo Ojanperä MA Thesis English, Degree Program for …

Machines as teammates: A research agenda on AI in team collaboration
I Seeber, E Bittner, RO Briggs, T De Vreede… – Information & …, 2020 – Elsevier
JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Skip to main content Skip to article …

Dual-factor Generation Model for Conversation
R Zhang, J Guo, Y Fan, Y Lan, X Cheng – ACM Transactions on …, 2020 – dl.acm.org
Page 1. 31 Dual-factor Generation Model for Conversation RUQING ZHANG, JIAFENG GUO, YIXING FAN, YANYAN LAN, and XUEQI CHENG, University of Chinese Academy of Sciences, Beijing, China; CAS Key Lab of Network …

As perceived, not as known: digital enquiry and the art of intelligence
W McCarty – Interdisciplinary Science Reviews, 2020 – Taylor & Francis
??? ?? ??????? ?????????? ??? ?????????, ????????????? ??? ??? ??????. (‘If you do not expect the unexpected, you will not find it; for it is hard to be sought out and difficult’) Heraclitus (DK 1…

A neurobiological schema model for contextual awareness in robotics
T Hwu, HJ Kashyap, JL Krichmar – 2020 International Joint …, 2020 – ieeexplore.ieee.org
… Springer, 2014, pp. 740–755. [21] R. Paul, J. Arkin, N. Roy, and T. M Howard, “Efficient grounding of abstract spatial concepts for natural language interaction with robot manipulators,” The International Journal of Robotics Research, 2016 …

Shallow Neural Network for Biometrics from the ECG-WATCH
V Randazzo, G Cirrincione, E Pasero – International Conference on …, 2020 – Springer
… IEEE Access 5, 22199–22208 (2017)Google Scholar. 14. Ferrero, R.: Ubiquitous fridge with natural language interaction. In: 2019 IEEE International Conference on RFID Technology and Applications (RFID-TA). IEEE (2019)Google Scholar. 15 …

Fundamentals of Software Engineering: Designed to provide an insight into the software engineering concepts
H Mohapatra, AK Rath – 2020 – books.google.com
… Natural Language Interaction Hardware Option for System Interaction Interface Design Structuring Data Entry Controlling Input Data Providing Feedback Providing Help Controlling User Access Database Design Database Models Hierarchal model Network model Relational …

Conceptual Challenges for Interpret-able Machine Learning
D Watson – Available at SSRN 3668444, 2020 – papers.ssrn.com
Page 1. Conceptual Challenges for Interpretable Machine Learning David S. Watson1 1Oxford Internet Institute, University of Oxford. 41 Saint Giles’, Oxford OX1 3LW Email for correspondence: david.watson@oii.ox.ac.uk §0 Abstract …

Conversational web browsing: a heuristic approach to the generation of chatbots out of websites
A PINA – 2020 – politesi.polimi.it
Page 1. POLITECNICO DI MILANO Master of Science in Computer Science and Engineering Dipartimento di Elettronica, Informazione e Bioingegneria Conversational Web Browsing: A Heuristic Approach to the Generation of Chatbots out of Websites Internal Supervisor: Prof …

Digital Communication and Its Impact on Rural Economy of Bangladesh
SA Kader, I Sadat – academia.edu
Page 1. 1 | Page Digital Communication and Its Impact on Rural Economy of Bangladesh Sheikh Abdul Kader, Assistant Professor, Department of Economics, Faculty of Social Sciences, Jagannath University & Ph.D. Scholar …

Understanding virtual speakers
J Nirme – Lund University Cognitive Studies, 2020 – lucs.lu.se
… In the bottom right quadrant we find Anna, IKEA’s customer service agent that has a static and simplistic presentation but is capable of text-based natural language interaction, inferring user’s intentions within the specialized domain of furniture shopping (Shah & Pavlika, 2005) …

Articulation Rate in American English in a Corpus of YouTube Videos
S Coats – Language and speech, 2020 – journals.sagepub.com
Previous studies of the temporal organization of speech in American English have found differences in speaking or articulation rate according to speaker dialect or location, but small sample sizes …

The Communicative Functions of Metaphors Between Explanation and Persuasion
F Macagno, MG Rossi – Inquiries in Philosophical Pragmatics …, 2020 – books.google.com
Page 174. The Communicative Functions of Metaphors Between Explanation and Persuasion Fabrizio Macagno and Maria Grazia Rossi Metaphors: Between Persuading and Explaining In the literature, the pragmatic dimension of metaphors has been clearly acknowl- edged …

Modeling artificial agents’ actions in context–a deontic cognitive event ontology
M Vacura – Applied Ontology, 2020 – content.iospress.com
Page 1. CORRECTED PROOF Applied Ontology -1 (2020) 1–35 1 DOI 10.3233/AO-200236 IOS Press Modeling artificial agents’ actions in context – a deontic cognitive event ontology Miroslav Vacura University of Economics, Prague, W. Churchill Sq …

Identifying and Modeling Code-Switched Language
V Soto Martinez – 2020 – academiccommons.columbia.edu
… Most of these speakers routinely code-switch. One of Artificial Intelligence’s ultimate goals is to enable seamless natural language interaction between artificial agents and human users. In order to achieve that goal, it is imperative …

A Survey of Autonomous Driving: Common Practices and Emerging Technologies
E Yurtsever, J Lambert, A Carballo, K Takeda – IEEE Access, 2020 – ieeexplore.ieee.org
Page 1. Received February 29, 2020, accepted March 22, 2020, date of publication March 25, 2020, date of current version April 7, 2020. Digital Object Identifier 10.1109/ACCESS. 2020.2983149 A Survey of Autonomous Driving: Common Practices and Emerging Technologies …

Data-Efficient Methods for Dialogue Systems
I Shalyminov – arXiv preprint arXiv:2012.02929, 2020 – arxiv.org
… tems have a long history. The first computer programs to support Natural Language interaction appeared decades ago — the first one that gained wide public recognition was ELIZA devel- oped in 1966 by Joseph Weizenbaum at MIT (Weizenbaum, 1966) …

Research on the Responsibility of Automatic Driving Vehicle Accident
C Mingtsung, C Qiaoying, W You – 2020 4th International …, 2020 – atlantis-press.com
… It can rely on the intelligent computer system equipped with the car and real-time electronic sensors such as real-time positioning, signal transmission, graphic processing, natural language interaction and traffic warning to deal with traffic information, make driving decisions …

Designing and Implementing Adaptive Bot Model to Consult Ethiopian Published Laws Using Ensemble Architecture with Rules Integrated
H Asimare – 2020 – ir.bdu.edu.et
Page 1. DSpace Institution DSpace Repository http://dspace.org Computer Science thesis 2020 Designing and Implementing Adaptive Bot Model to Consult Ethiopian Published Laws Using Ensemble Architecture with Rules Integrated Asimare, Habitamu …

Investigating the Impact of Explanation on Repairing Trust in Ai Diagnostic Systems for Re-Diagnosis
L Alam – 2020 – digitalcommons.mtu.edu
Page 1. Michigan Technological University Digital Commons @ Michigan Tech Dissertations, Master’s Theses and Master’s Reports 2020 INVESTIGATING THE IMPACT OF EXPLANATION ON REPAIRING TRUST IN AI DIAGNOSTIC SYSTEMS FOR RE-DIAGNOSIS …

The colMOOC: Integrating Conversational Agents and Learning Analytics in MOOCs
WP Leader, A Weinberger – colmooc.eu
Page 1. D1.2 CA and LA analysis Page 2. D1.2 CA and LA Analysis colMOOC – Project Number: 588438-EPP-1-2017-1-EL-EPPKA2-KA 1 The colMOOC: Integrating Conversational Agents and Learning Analytics in MOOCs D1.2 –CA and LA Analysis …

AnAbEL: towards empowering people living with dementia in ambient assisted living
JGG Manuel, JC Augusto, J Stewart – Universal Access in the Information …, 2020 – Springer
… 18]. Reminder systems show good results in rectifying user behaviours through mobile messages. Natural language interaction between the user and the system is difficult, due to the limitations of current technology. Advances …

Voice assistants and railway passengers: A user-centered exploration of value creation opportunities in a railway service context
G Backhans, D Driving – 2020 – diva-portal.org
… Allen et al., 2001). In natural language interaction, however, spoken commands can “shortcut the navigation of a menu hierarchy to invoke known commands” (Cohen & Oviatt, 1995), illustrated in Figure 4 above. This is because …

Military applications of artificial intelligence: ethical concerns in an uncertain world
FE Morgan, B Boudreaux, AJ Lohn, M Ashby… – 2020 – apps.dtic.mil
Page 1. CORPORATION FORREST E. MORGAN, BENJAMIN BOUDREAUX, ANDREW J. LOHN, MARK ASHBY, CHRISTIAN CURRIDEN, KELLY KLIMA, DEREK GROSSMAN Military Applications of Artificial Intelligence Ethical Concerns in an Uncertain World Page 2 …

Contour and region harmonic features for sub-local facial expression recognition
AR Shahid, S Khan, H Yan – Journal of Visual Communication and Image …, 2020 – Elsevier
JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Skip to main content Skip to article …

Disturbance observer–based super-twisting sliding mode control for formation tracking of multi-agent mobile robots
G Zhang, Y Wang, J Wang, J Chen… – Measurement and …, 2020 – journals.sagepub.com
This paper presents a super-twisting sliding mode control method for the formation maneuvers of multiple robots. In the real world of applications, the robots suffer from many uncertainties and dis…

Toward a Scientifically Rooted Design Architecture of Team Process and Performance Modeling in Adaptive, Team-Based Intelligent Tutoring Systems
R Sottilare, S Burke, AM Sinatra, J Johnston, E Salas – 2020 – apps.dtic.mil
… 2018, p. 4). Some common user interface features include 1) natural language interaction (Graesser 2016; Johnson and Lester 2016; Nye et al. 2014); 2) speech recognition (D’Mello et al. 2010; Litman 2012); and 3) sensing of learner emotions (Baker et al …

Semantic Modeling for Data
P Alexopoulos – 2020 – books.google.com
Page 1. Semantic Modeling for Data Avoiding Pitfalls and Breaking Dilemmas Panos Alexopoulos Page 2. O?REILLY Semantic Modeling for Data What value does semantic data modeling offer? As an information architect or …

The Value of Standardized Technology to Connected Cars
S Arya – GRUR International, 2020 – academic.oup.com
Abstract. Connected cars have become a reality for consumers, who can benefit from mobility, safety, entertainment and other applications in their cars. Such co.

Novel Recommendation Algorithms with Applications to Healthcare Data Analysis
W Yue – 2020 – bura.brunel.ac.uk
Page 1. Novel Recommendation Algorithms with Applications to Healthcare Data Analysis Wenbin Yue Department of Computer Science Brunel University London This dissertation is submitted for the degree of Doctor of Philosophy November 2020 Page 2. Page 3 …

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