NLI (Natural Language Interaction) 2017


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)


NLCI: a natural language command interpreter
M Landhäußer, S Weigelt, WF Tichy – Automated Software Engineering, 2017 – Springer
… 4 Evaluation. NLCI has been tested on two radically different domains: openHAB, an API for home automation, and Alice, a programming environment for building 3D animations. Natural language interaction in a home automation environment is very desirable …

Visual dialog
A Das, S Kottur, K Gupta, A Singh… – Proceedings of the …, 2017 – openaccess.thecvf.com
… However, all of these involve (at most) a single- shot natural language interaction – there is no dialog. Con- current with our work, two recent works [10, 37] have also begun studying this problem of visually-grounded dialog. Visual Turing Test …

Child speech recognition in human-robot interaction: evaluations and recommendations
J Kennedy, S Lemaignan, C Montassier… – Proceedings of the …, 2017 – dl.acm.org
… Wizard of Oz (WoZ) approaches have proven popular to substitute for sub-optimal speech recognition and natural language interaction, but when autonomy is impor- tant, WoZ is impractical and the use of mediating interfaces to substitute for linguistic interaction has proven …

Chatbots and the new world of HCI
A Følstad, PB Brandtzæg – interactions, 2017 – dl.acm.org
… world of chatbots. In early spring 2016, Microsoft presented its vision of conversations as a platform, where artificial intelligence (AI) and natural language interaction allow new ways to experience interactive systems. As a step …

Situated natural language interaction in uncertain and open worlds
T Williams – AI Matters, 2017 – dl.acm.org
Abstract As intelligent robots become integrated into society, it becomes important for them to be capable of natural, human-like human-robot interaction (HRI). While there has been some progress on enabling natural-language based HRI (Mavridis, 2015), most natural

Analogical Chaining with Natural Language Instruction for Commonsense Reasoning.
JA Blass, KD Forbus – AAAI, 2017 – aaai.org
… Here we show how cases for reasoning by analogy can be learned through natural language interaction with a person and used in a system that repeatedly uses analogy to reason Copyright © 2017, Association for the Advancement of Artificial Intelli- gence (www.aaai.org) …

Touchless interaction with software in interventional radiology and surgery: a systematic literature review
A Mewes, B Hensen, F Wacker, C Hansen – International journal of …, 2017 – Springer
… Six anesthesia teams participated in the evaluation in two sessions each. Conventional keyboard and touchscreen input was compared to voice recognition interaction. The study provided the findings that mental workload is decreased by natural language interaction …

Natural language interface to relational database (NLI-RDB) through object relational mapping (ORM)
A Alghamdi, M Owda, K Crockett – Advances in Computational Intelligence …, 2017 – Springer
… Springer, Berlin Heidelberg (2010)Google Scholar. 24. Kenny, PG, Parsons, TD: Embodied Conversational Virtual Patients, in Conversational Agents and Natural Language Interaction: Techniques and Effective Practices, Information Science Reference, pp …

Learning unknown groundings for natural language interaction with mobile robots
M Tucker, D Aksaray, R Paul, GJ Stein… – … Symposium on Robotics …, 2017 – rohanpaul.in
Abstract Our goal is to enable robots to understand or “ground” natural language instructions in the context of its perceived workspace. Contemporary models learn a probabilistic correspondence between input phrases and semantic concepts (or groundings) such as

A tale of two architectures: A dual-citizenship integration of natural language and the cognitive map
T Williams, C Johnson, M Scheutz… – Proceedings of the 16th …, 2017 – dl.acm.org
Page 1. A Tale of Two Architectures: A Dual-Citizenship Integration of Natural Language and the Cognitive Map Tom Williams HRI Laboratory Tufts University Medford, MA, USA williams@cs.tufts.edu Collin Johnson Intelligent …

Value alignment or misalignment–what will keep systems accountable
T Arnold, D Kasenberg… – … Workshop on AI, Ethics …, 2017 – pdfs.semanticscholar.org
… Explicitly rea- soning about the normative allows for greater transparency and facilitates justification in response to blame; it facilitates generalization to new, previously-unobserved states; it facil- itates learning through natural language interaction …

Methodologies for realizing natural-language-facilitated human-robot cooperation: A review
R Liu, X Zhang – arXiv preprint arXiv:1701.08756, 2017 – arxiv.org
Page 1. submitted to Knowledge-based Systems, January 2017 Methodologies realizing natural-language-facilitated human-robot cooperation: A review Rui Liu, Xiaoli Zhang* Department of Mechanical Engineering, Colorado …

Dynamic construction grammar and steps towards the narrative construction of meaning
PF Dominey, AL Mealier, G Pointeau… – … Grammar and Natural …, 2017 – researchgate.net
… Future research should attempt to determine whether these stances are to be validated. Also, because of its flex- ibility and learning, DCG is beginning to be seen as a use- ful component of natural language interaction systems for robots …

History and key developments in intelligent computer-assisted language learning (ICALL)
T Heift – Language, Education and Technology, 2017 – Springer
… and guide pedagogical decision-making. The goal here is to create learning programs that come closer to natural language interaction between humans than has been the case in traditional CALL. For this, the ILTS constructs …

Natural Language Explanations in Human-Collaborative Systems
R Scalise, S Rosenthal, S Srinivasa – … of the Companion of the 2017 …, 2017 – dl.acm.org
… Explanation-based generalization: A unifying view, 1986. [8] R. Paul, J. Arkin, N. Roy, and T. Howard. Efficient grounding of abstract spatial concepts for natural language interaction with robot manipulators. RSS, 2016. [9] V. Perera, SP Selveraj, S. Rosenthal, and M. Veloso …

Latent intention dialogue models
TH Wen, Y Miao, P Blunsom, S Young – arXiv preprint arXiv:1705.10229, 2017 – arxiv.org
… evaluation. 2. Latent Intention Dialogue Model for Goal-oriented Dialogue Goal-oriented dialogue1 (Young et al., 2013) aims at build- ing models that can help users to complete certain tasks via natural language interaction. Given …

Enabling robots to understand indirect speech acts in task-based interactions
G Briggs, T Williams, M Scheutz – Journal of Human-Robot Interaction, 2017 – dl.acm.org
… that one would only expect direct language to be used by participants; the task can be easily accomplished using only instructions of the form “knock over the tower.” Participants were told that the experimenters were developing natural language interaction capa- bilities …

BONSEYES: platform for open development of systems of artificial intelligence
T Llewellynn, M Fernández-Carrobles… – Proceedings of the …, 2017 – dl.acm.org
… The in-vehicle digital assistant will be able to recognise the driver and then person- alise his/her car experience while learning the driver’s preferences and allowing natural language interaction within the vehicle and the driving context …

Question answering over biomedical linked data with grammatical framework
A Marginean – Semantic Web, 2017 – content.iospress.com
… [6]. M. Damova, D. Dannélls, R. Enache, M. Mateva and A. Ranta, Multilingual natural language interaction with semantic web knowledge bases and Linked Open Data, in: Towards the Multilingual Semantic Web: Principles, Methods and Applications, P. Buitelaar and P. Cimiano …

The social factory: connecting people, machines and data in manufacturing for context-aware exception escalation
L Kassner, P Hirmer, M Wieland… – … of the 50th …, 2017 – scholarspace.manoa.hawaii.edu
… This social network includes the functionality for text-based natural language interaction with both humans and machines, which the system equally represents as co-workers, backed by text analytics, for instance for starting, stopping and supervising machines …

Unsupervised text classification for natural language interactive narratives
J Bellassai, AS Gordon… – Proceedings of the …, 2017 – pdfs.semanticscholar.org
… We describe a new web-based platform for authoring and deploying interactive narratives, the Data-driven Inter- active Narrative Engine (DINE), which uses unsupervised text classification to enable natural language interaction …

Real-time natural language corrections for assistive robotic manipulators
A Broad, J Arkin, N Ratliff, T Howard… – … International Journal of …, 2017 – journals.sagepub.com
We propose a generalizable natural language interface that allows users to provide corrective instructions to an assistive robotic manipulator in real-time. Thi…

A fine fuzzy spatial partitioning model for line objects based on computing with words and application in natural language spatial query
J Guo, X Shao – Journal of Intelligent & Fuzzy Systems, 2017 – content.iospress.com
… and so on [40, 41]. So its predicted abilities include managing high-precision measurement data and perception information to realize the natural language interaction between users and IGIS [29]. This will hopefully provide …

Systems of natural-language-facilitated human-robot cooperation: A review
R Liu, X Zhang – arXiv preprint arXiv:1701.08269, 2017 – arxiv.org
Page 1. submitted to Knowledge-based Systems, January 2017 Systems of natural-language-facilitated human-robot cooperation: A review Rui Liu, Xiaoli Zhang* Department of Mechanical Engineering, Colorado School of …

Driving Under the Influence (of Language)
DP Barrett, SA Bronikowski, H Yu… – IEEE transactions on …, 2017 – ieeexplore.ieee.org
Page 1. This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 1 Driving Under the Influence (of Language) …

A review of spatial reasoning and interaction for real-world robotics
C Landsiedel, V Rieser, M Walter, D Wollherr – Advanced Robotics, 2017 – Taylor & Francis
… This article reviews fundamental and recent work on two main aspects of spatial reasoning and interaction in robotics. The first part concerns natural language interaction between robots and their human users about spatial relationships …

Hybrid methodological approach to context-dependent speech recognition
D Miškovi?, M Gnjatovi?, P Štrbac… – International …, 2017 – journals.sagepub.com
Although the importance of contextual information in speech recognition has been acknowledged for a long time now, it has remained clearly underutilized even in…

Facebook: a new tool for collecting health data?
MC Buzzi, M Buzzi, D Franchi, D Gazzè… – Multimedia Tools and …, 2017 – Springer
… potential [37]. Another approach is applied by Bhaskar, who propose a graph-based Question Answering system that offers Natural Language interaction and restricts output to a small set of focused results [8]. Dynamic Clinical …

A conventional dialogue model based on dialogue patterns
GD Duplessis, A Pauchet, N Chaignaud… – … Journal on Artificial …, 2017 – World Scientific
Page 1. International Journal on Artificial Intelligence Tools Vol. 26, No. 1 (2017) 1760009 (23 pages) c World Scientific Publishing Company DOI: 10.1142/S0218213017600090 A Conventional Dialogue Model Based on Dialogue Patterns …

Accurately and efficiently interpreting human-robot instructions of varying granularities
D Arumugam, S Karamcheti, N Gopalan… – arXiv preprint arXiv …, 2017 – arxiv.org
Page 1. Accurately and Efficiently Interpreting Human-Robot Instructions of Varying Granularities Dilip Arumugam?, Siddharth Karamcheti?, Nakul Gopalan, Lawson LS Wong, and Stefanie Tellex Computer Science Department …

Topic Aware Neural Response Generation.
C Xing, W Wu, Y Wu, J Liu, Y Huang, M Zhou, WY Ma – AAAI, 2017 – aaai.org
Page 1. Topic Aware Neural Response Generation Chen Xing,1,2? Wei Wu,4 Yu Wu,3 Jie Liu,1,2 † Yalou Huang,1,2 Ming Zhou,4 Wei-Ying Ma4 1 College of Computer and Control Engineering, Nankai University, Tianjin, China …

Paving the WAI: Defining Web-Augmented Interactions.
F Gandon, A Giboin – Proceedings of the 2017 ACM on Web Science …, 2017 – dl.acm.org
… and Fabien Gandon. 2012. Natural Language Interaction with the Web of Data by Mining its Textual Side. Intelligenza Artificiale Special Issue on Natural Language Processing in the Web Era (2012), 137–154. https://hal.inria …

Exploring variation of natural human commands to a robot in a collaborative navigation task
M Marge, C Bonial, A Foots, C Hayes, C Henry… – Proceedings of the First …, 2017 – aclweb.org
… robot’s limited understanding. Like Chai et al. (2014) and Williams et al. (2015), we are in- terested in methods that robots can use to interpret and convey common ground in natural language interaction. Here, we describe how …

Referring Expression Generation under Uncertainty: Algorithm and Evaluation Framework
T Williams, M Scheutz – … of the 10th International Conference on Natural …, 2017 – aclweb.org
Page 1. Proceedings of The 10th International Natural Language Generation conference, pages 75–84, Santiago de Compostela, Spain, September 4-7 2017. cO2017 Association for Computational Linguistics Referring Expression Generation under Uncertainty …

Structured learning for spoken language understanding in human-robot interaction
E Bastianelli, G Castellucci, D Croce… – … Journal of Robotics …, 2017 – journals.sagepub.com
Robots are slowly becoming a part of everyday life, being marketed for commercial applications such as telepresence, cleaning or entertainment. Thus, the abilit…

A Theoretical Model of Indirect Request Comprehension
S Trott, B Bergen – Proceedings of the AAAI Fall Symposium …, 2017 – researchgate.net
… Social cognitive and affective neuroscience, 11(9), 1402-1410. Williams, T., Briggs, G., Oosterveld, B., & Scheutz, M. 2015. Going Beyond Literal Command-Based Instructions: Extending Robotic Natural Language Interaction Capabilities. In AAAI (pp. 1387-1393) …

Referring expression generation under uncertainty in integrated robot architectures
T Williams, M Scheutz – … of Robotics: Science and Systems Workshop …, 2017 – hrilab.tufts.edu
… of the 30th AAAI Conference on Artificial Intelligence, pages 3958– 3964, 2016. [10] Tom Williams, Gordon Briggs, Bradley Oosterveld, and Matthias Scheutz. Going beyond command-based in- structions: Extending robotic natural language interaction capabilities. In Proc …

Communicating and acting: Understanding gesture in simulation semantics
N Krishnaswamy, P Narayana, I Wang, K Rim… – IWCS 2017—12th …, 2017 – aclweb.org
… 247–254. ACM. Paul, R., J. Arkin, N. Roy, and TM Howard (2016). Efficient grounding of abstract spatial concepts for natural language interaction with robot manipulators. In Robotics: Science and Systems. Pustejovsky, J. (1995). The Generative Lexicon …

A cognitive system for business and technical support: A case study
P Dhoolia, P Chugh, P Costa… – IBM Journal of …, 2017 – ieeexplore.ieee.org
Page 1. A cognitive system for business and technical support: A case study Business and technical support has traditionally been labor based. In this paper, we introduce a cognitive system for business and technical support …

Haptic recognition using hierarchical extreme learning machine with local-receptive-field
F Li, H Liu, X Xu, F Sun – International Journal of Machine Learning and …, 2017 – Springer
… In: Proceedings of the IEEE international conference on robotics and automation (ICRA), pp 1102–1114 5. Brooks DJ, Lignos C, Finucane C et al (2012) Make it so: con- tinuous, flexible natural language interaction with an autonomous robot …

Incorporating android conversational agents in m?learning apps
D Griol, JM Molina, Z Callejas – Expert Systems, 2017 – Wiley Online Library
By continuing to browse this site you agree to us using cookies as described in About Cookies. Remove maintenance message …

Defining Soldier Intent in a Human-Robot Natural Language Interaction Context
E Holder – 2017 – dtic.mil
Abstract: The work described was conducted to support a US Army Research Laboratory Directors Strategic Initiative research program to examine intent as conveyed and understood between humans and machines and used to achieve cooperative goals (ie,

A “small-data”-driven approach to dialogue systems for natural language human computer interaction
T Boros, SD Dumitrescu – Speech Technology and Human …, 2017 – ieeexplore.ieee.org
… Stefan Daniel Dumitrescu Research Institute for Artificial Intelligence Romanian Academy Bucharest, 13, Calea 13 Septembrie sdumitrescu@racai.ro Abstract—This paper describes a data-driven approach to handling natural language interaction between humans and devices …

A first prototype of a space model of cultural meaning by natural-language human-robot interaction
O Schürer, B Stangl, C Müller… – Proceedings of the 10th …, 2017 – dl.acm.org
… In an experiment, we tested a first prototyp of the communication module, allowing a humanoid to learn cultural meanings by means of a machine learning system. Interaction is done by non-verbal and natural-language interaction between the humanoid and testpersons …

Teaching A Small Robot How to Understand Spoken Language
S Plane – 2017 – scholarworks.boisestate.edu
Spoken conversation between two present interlocutors is the foundation of natural language interaction and the source for child language acquisition (Fillmore, 1981; McCune, 2008). This research aims to model this natural …

Grounding abstract spatial concepts for language interaction with robots
R Paul, J Arkin, N Roy… – Proceedings of the 26th …, 2017 – pdfs.semanticscholar.org
… [Paul et al., 2016] Rohan Paul, Jacob Arkin, Nicholas Roy, and Thomas M. Howard. Efficient grounding of abstract spatial concepts for natural language interaction with robot manipulators. In Proceedings of Robotics: Science and Systems, AnnArbor, Michigan, June 2016 …

Grounding Natural Language Instructions with Unknown Object References using Learned Visual Attributes
N Glabinski, R Paul, N Roy – rohanpaul.in
… Tucker, M.; Aksaray, D.; Paul, R.; Stein, GJ; and Roy, N. 2017. Learning unknown groundings for natural language interaction with mobile robots. In To appear in the Interna- tional Symposium on Robotics Research (ISRR). Zitnick, L., and Dollar, P. 2014 …

Speech and Hands-free interaction: myths, challenges, and opportunities
C Munteanu, G Penn – Proceedings of the 19th International Conference …, 2017 – dl.acm.org
… Cosmin’s multidisciplinary interests include speech and natural language interaction for mobile devices, mixed reality systems, learning technologies for marginalized users, assistive technologies for older adults, and ethics in human-computer interaction research …

Robot-Initiated Specification Repair through Grounded Language Interaction
A Boteanu, J Arkin, S Patki, T Howard… – arXiv preprint arXiv …, 2017 – arxiv.org
… Sample instructions are available in the supple- mental video4. CONCLUSION In this paper we introduce a natural language interaction method which enables the robot to request the user to approve or reject automatically-generated environment as- sumptions …

Grounding Natural Language Instructions in Industrial Robotics
D Evangelista, WU Villa, M Imperoli, A Vanzo, L Iocchi… – pdfs.semanticscholar.org
… V. CONCLUSION In this work, we developed a human robot interaction system applied to industrial like settings and environments. In particular, we wanted to test the feasibility and suitability of introducing spoken natural language interaction in such scenarios …

Conceptual Primitive Decomposition for Knowledge Sharing via Natural Language
JC MACBETH – 2017 – iiia.csic.es
… systems and their human users. But a major problem that natural language interaction poses is linguistic variation, or the “paraphrase problem”: there are a variety of ways of referring to the same idea. This is a special problem …

Contextual Awareness: Understanding Monologic Natural Language Instructions for Autonomous Robots
J Arkin, MR Walter, A Boteanu, ME Napoli, H Biggie… – pdfs.semanticscholar.org
Page 1. Contextual Awareness: Understanding Monologic Natural Language Instructions for Autonomous Robots Jacob Arkin,1 Matthew R. Walter,2 Adrian Boteanu,3 Michael E. Napoli,1 Harel Biggie,1 Hadas Kress-Gazit,3 and Thomas M. Howard1 …

Grounding Natural Language Instructions to Semantic Goal Representations for Abstraction and Generalization
D Arumugam, S Karamcheti, N Gopalan, EC Williams… – 2017 – cs.brown.edu
Page 1. Grounding Natural Language Instructions to Semantic Goal Representations for Abstraction and Generalization Dilip Arumugam? Siddharth Karamcheti? Nakul Gopalan Edward C. Williams Mina Rhee Lawson LS Wong Stefanie Tellex December 8, 2017 …

Collaborative Robots Learning Spatial Language for Picking and Placing Objects on a Table
R Schulz – Proceedings of the 5th International Conference on …, 2017 – dl.acm.org
… 11. R Paul, J Arkin, N Roy, and TM Howard. 2016. Efficient grounding of abstract spatial concepts for natural language interaction with robot manipulators. Proceedings of Robotics: Science and Systems (RSS), Ann Arbor, Michigan, USA (2016). 12 …

The Impact of Personalisation on Human-Robot Interaction in Learning Scenarios
N Churamani, P Anton, M Brügger… – Proceedings of the 5th …, 2017 – dl.acm.org
Page 1. The Impact of Personalisation on Human-Robot Interaction in Learning Scenarios Nikhil Churamani, Paul Anton, Marc Brügger, Erik Fließwasser, Thomas Hummel, Julius Mayer, Waleed Mustafa, Hwei Geok Ng, Thi …

Exploring Synergies between Visual Analytical Flow and Language Pragmatics
V Setlur, M Tory – 2017 – research.tableau.com
… misinterpretation. Beyond Data Analytics While this paper focuses on the synergies and challenges of natural language interaction for visual analysis, it does bring to bear how conversational pragmatics apply to other settings and contexts …

Designing Speech, Acoustic and Multimodal Interactions
C Munteanu, P Irani, S Oviatt, M Aylett, G Penn… – Proceedings of the …, 2017 – dl.acm.org
… We look for papers relevant to the areas of speech, acoustics, natural language interaction, multimodal interaction, brain-computer interfaces (as used to complement speech), natural user interfaces, especially as applied to mobile, wearable devices, smart home personal …

Interactive Reinforcement Learning for Object Grounding via Self-Talking
Y Zhu, S Zhang, D Metaxas – arXiv preprint arXiv:1712.00576, 2017 – arxiv.org
… beyond task success rate. 1 Introduction Natural language interaction is probably the most efficient and natural way for humans to acquire knowledge and exchange information. In artificial intelligence, developing intelligent …

Temporal Patterns: Smart-type Reasoning and Applications
D Chuckravanen, JW Daykin, K Hunsdale, A Seeam – researchgate.net
… Natural language interaction between two participants (hu- man or otherwise) can be modeled using Allen’s interval algebra: the intervals of speech could satisfy the basic relation p, if one speaks before the other, or the relation o if their speech overlaps, and so on …

Concept Learning from Natural Language Interactions
S Srivastava – 2017 – cs.cmu.edu
… In this proposal, our goal is to develop algorithms that can learn through natural language interaction … Learning(task:(Iden/fying(risk(of(heart(a4ack( Figure 2: Hypothetical scenario of learning from natural language interaction …

A two-phased approach for natural language parsing into formal logic
G Sturla – 2017 – dspace.mit.edu
… Natural language commands is a preferable medium to commuciate with a robot. We see natural language interaction with computers entering the market with con- sumer products such as Apple’s Siri, Amazon’s Alexa, and the Google Home. These …

Natural Language Instructions for Human-Robot Collaborative Manipulation
R Scalise, S Li, H Admoni, S Rosenthal, SS Srinivasa – shentheman.com
Page 1. Natural Language Instructions for Human-Robot Collaborative Manipulation Journal Title XX(X):1–7 c The Author(s) 2016 Reprints and permission: sagepub.co.uk/ journalsPermissions.nav DOI: 10.1177/ToBeAssigned www.sagepub.com …

” Gimme the Usual”-How Handling of Pragmatics Improves Chatbots
A Bianchini, F Tarasconi, R Ventaglio, M Guadalupi – ceur-ws.org
… New York: Elsevier. Diana Perez-Marin. 2011. Conversational Agents and Natural Language Interaction: Techniques and Ef- fective Practices: Techniques and Effective Prac- tices. IGI Global. Silvia Quarteroni and Suresh Manandhar. 2007 …

im4Things: An Ontology-Based Natural Language Interface for Controlling Devices in the Internet of Things
JÁ Noguera-Arnaldos, MA Paredes-Valverde… – Current Trends on …, 2017 – Springer
… It is worth noting that the correct execution of this request will provide users a complete impression of a smart home. Finally, concerning natural language interaction, we are considering the use of emoticons in the instant messaging application …

The state-of-the-art in autonomous wheelchairs controlled through natural language: A survey
T Williams, M Scheutz – Robotics and Autonomous Systems, 2017 – Elsevier
Skip to main content …

Generating Realtime Motion Plans from Attribute-Based Natural Language Instructions Using Dynamic Constraint Mapping
JS Park, B Jia, M Bansal, D Manocha – pdfs.semanticscholar.org
Page 1. Generating Realtime Motion Plans from Attribute-Based Natural Language Instructions Using Dynamic Constraint Mapping Jae Sung Park, Biao Jia, Mohit Bansal, and Dinesh Manocha Abstract—We present an algorithm …

To cite this version
F Gandon, A Giboin – 2017 – hal-unice.archives-ouvertes.fr
… and Fabien Gandon. 2012. Natural Language Interaction with the Web of Data by Mining its Textual Side. Intelligenza Artificiale Special Issue on Natural Language Processing in the Web Era (2012), 137–154. https://hal.inria …

Interaction Capabilities of a Robotic Receptionist
C Nuccio, A Augello, S Gaglio, G Pilato – International Conference on …, 2017 – Springer
… 2 System Overview. The proposed system is aimed at facilitating the interaction between a human user and a Pepper robot through a natural language interaction, using QiChat. An overview of the overall system is shown in Fig …

A Consultant Framework for Natural Language Processing in Integrated Robot Architectures
T Williams – researchgate.net
… Robotics and Autonomous Systems, vol. 63, pp. 22–35, 2015. [2] T. Williams, “Situated natural language interaction in uncertain and open worlds,” Ph.D. dissertation, Tufts University, 2017. [3] PW Schermerhorn, JF Kramer, C …

Chunks In Which We Process Speech
A Mauranen, S Vetchinnikova – sisu.ut.ee
… patterning and prosodic information. To examine them, we conducted an experiment where participants were asked to listen to short audio clips of natural language interaction and follow them from transcripts. Their task was …

A Framework for Creating Cultural Interactive Guides
A Sorgente, A Calabrese, G Coda, P Vanacore, F Mele – ceur-ws.org
… The captured screen-shot shows the “3D” switch button to enable or disable the 3-dimensional visualisation of multimedia responses (the example of 2D is shown in Fig. 5c) and the “Speech” button to start a natural language interaction. (a) (b) (c) Fig …

Developing Educative Multimodal Conversational Applications for Mobile Devices
D Griol, Z Callejas – … on Technology-Centric Strategies for Higher …, 2017 – books.google.com
… Personal and Ubiquitous Computing, 16 (1), 105–114. doi: 10.1007/s00779-011-0412-2 Pérez-Marín, D., & Pascual-Nieto, I.(2011). Conversational Agents and Natural Language Interaction: Techniques and Effective Practices. Hershey, PA: IGI Global …

Asystent–a Prototype of a Motivating Electronic Assistant
P ?wieczkowska, J Bachan, R Rzepka, K Araki – ceur-ws.org
… [Androutsopoulos and Aretoulaki, 2003] Ion Androutsopoulos and Maria Aretoulaki. Natural language interaction. In Ruslan Mitkov, editor, The Oxford handbook of computational linguistics, pages 629-649. Oxford University Press, New York, 2003. [Apple, 2017] Siri …

Dialogue with Robots to Support Symbiotic Autonomy
A Vanzo, D Croce, E Bastianelli, G Gemignani… – Dialogues with Social …, 2017 – Springer
… IOS Press (2014)Google Scholar. 14. Bastianelli, E., Croce, D., Basili, R., Nardi, D.: Using semantic maps for robust natural language interaction with robots. In: Sixteenth Annual Conference of the International Speech Communication Association (2015)Google Scholar. 15 …

The Pragmatics of Indirect Commands in Collaborative Discourse
M Lamm, M Eric – arXiv preprint arXiv:1705.03454, 2017 – arxiv.org
… 6 Conclusion and Future Work In this work, we have performed an exten- sive study of command types as present in the Cards corpus. Using the corpus as a test bed for grounded natural language interaction among agents with a shared goal, we describe a variety of …

LiveBook: Competence Assessment with Virtual-Patient Simulations
S Jalali, E Stroulia, S Foster, A Persad… – … (CBMS), 2017 IEEE …, 2017 – ieeexplore.ieee.org
… LiveBook’s natural-language interaction method enables a more natural experience for the learner. A number of virtual-patient systems define the learner’s environment as a combination of natural-language text and media elements …

PATTOLOGY: the Science of Patterns and its Applications
JW Daykin – pdfs.semanticscholar.org
… First, temporal issues arising in the Internet of Things centered around smart homes (see [6]). Secondly, applications of Allen’s interval algebra in the context of intelligent conversational agents which enable natural language interaction with their human participant (see ([7 …

A Survey of Design Techniques for Conversational Agents
K Chandrasekaran – … Conference, ICICCT 2017, New Delhi, India …, 2017 – books.google.com
… (Won Loebner Prize) 2007 UltraHAL [33] Robert Medeksza Visual basic code along with pattern matching scripts (Won Loebner Prize) 2008 Elbot [34] Fred Roberts An NLI (Natural Language Interaction) solution for commercial purposes.(Won Loebner Prize) (continued) …

A Survey of Design Techniques for Conversational Agents
K Ramesh, S Ravishankaran, A Joshi… – International Conference …, 2017 – Springer
… 2007. UltraHAL [33]. Robert Medeksza. Visual basic code along with pattern matching scripts (Won Loebner Prize). 2008. Elbot [34]. Fred Roberts. An NLI (Natural Language Interaction) solution for commercial purposes. (Won Loebner Prize). 2009. CHARLIE [35]. Fernando A. Mikic …

Dual track multimodal automatic learning through human-robot interaction
S Jiang, W Min, X Li, H Wang, J Sun… – Proceedings of the 26th …, 2017 – vipl.ict.ac.cn
Page 1. Dual Track Multimodal Automatic Learning through Human-Robot Interaction Shuqiang Jiang1,2, Weiqing Min1,2, Xue Li1,3, Huayang Wang1,2, Jian Sun1,3, Jiaqi Zhou1 1Key Laboratory of Intelligent Information Processing …

A Nice and Friendly Chat with a Bot: User Perceptions of AI-Based Service Agents
NV Wuenderlich, S Paluch – 2017 – aisel.aisnet.org
… AI-based service agents interact in a similar way as humans in human-to-human chat conversations, but instead of a live person on the other end, a chat bot steers the communication based on artificial intelligence and Natural Language Interaction …

Theoretical Concerns for the Integration of Repair
S Trott, F Rossano – 2017 – researchgate.net
… Proceedings of the National Academy of Sciences, 106(26), 10587-10592. Williams, T., Briggs, G., Oosterveld, B., & Scheutz, M. 2015. Going Beyond Literal Command-Based Instructions: Extending Robotic Natural Language Interaction Capabilities. In AAAI (pp. 1387-1393) …

Temporal Grounding Graphs for Language Understanding with Accrued Visual-Linguistic Context
R Paul, A Barbu, S Felshin… – Proceedings of the …, 2017 – pdfs.semanticscholar.org
… Regions, modi- fiers, human actions and planner constraints are learned as described in Section 3.4. The space of factual concepts is open and expands through natural-language interaction. Agents Robot1, Human1 Objects Block1, Can1, Box1, Fruit1, Cup1 …

Semantic framework to enhance human-robot interaction using EKRL
A Omar, A Ramdane-Cherif – Cognitive Informatics & Cognitive …, 2017 – ieeexplore.ieee.org
Page 1. Semantic framework to enhance Human-Robot interaction using EKRL ADJALI Omar Paris-Saclay UVSQ-LISV 10-12 avenue de l’europe Velizy, France Email: omar.adjali@lisv.uvsq.fr Amar Ramdane-Cherif Paris-Saclay …

A Review of Technologies for Conversational Systems
J Masche, NT Le – … on Computer Science, Applied Mathematics and …, 2017 – Springer
… Kenny, PG, Parsons, TD: Embodied conversational virtual patients. In: Perez-Marin, D., Pascual-Nieto, I. (eds.) Conversational Agents and Natural Language Interaction: Techniques and Effective Practices (2011)Google Scholar …

What information should a dialogue system understand?: Collection and analysis of perceived information in chat-oriented dialogue
K Mitsuda, R Higashinaka, Y Matsuo – workshop.colips.org
… References 1. Dialogue-games: Metacommunication structures for natural language interaction. Cognitive science 1(4), 395–420 (1977) 2. Allen, J.: Recognizing intentions from natural language utterances. MIT Press (1983) 3. Grice, HP: Logic and conversation …

Playable Experiences at AIIDE 2017
M Treanor, N Warren, M Reed, AM Smith, P Ortiz… – 2017 – pdfs.semanticscholar.org
… In particular, Traveler explores a design that increases players’ immersion and engagement through natural language interaction without abandoning the tradi- tions of storytelling and media production of the enter- tainment industry …

Towards a Dynamic Revelation of Shrewd Administrations in the Social Internet of Things
APAJ Karjagi, MI Gulbarga, J Patel, APMA Adhoni… – 2017 – ijariit.com
… The NLP is responsible for fetching facts from a users’ search query or other natural language interaction with services. The RE is responsible for semantic matching of the contextual and profile-based data for representing a situation semantically …

A Conversational Agent for the Improvement of Human Reasoning Skills
L Wartschinski, NT Le, N Pinkwart – Bildungsräume 2017, 2017 – dl.gi.de
… 539–548, 2001. [Gu11] Gulz, A. et al.: Building a Social Conversational Pedagogical Agent. In: Conversational Agents and Natural Language Interaction: Techniques and Effective Practices, S. 128, 2011. [Ha11] Haferkamp, N …

Employing Information Extraction for Building Mobile Applications
DM Daoud, SA El-Seoud – International Journal of Interactive …, 2017 – online-journals.org
… The goal of this application is to enable SMS users to post or search for classified ads in Arabic. It has two main functionalities: the submission for selling items and the answering of users’ queries through natural language interaction …

A vision for human-machine mutual understanding, trust establishment, and collaboration
CRB Azevedo, K Raizer… – … and Computational Aspects …, 2017 – ieeexplore.ieee.org
… Research in natural language interaction among autonomous systems and humans is expected to become more relevant as European citizens might soon have a right to request explanations of decisions taken by algorithms that affect them …

Deep Almond: A Deep Learning-based Virtual Assistant
GCR Ramesh – stanford.edu
… The next evolution of natural language interaction with virtual assistants is in the form of task automation such as “turn on the air conditioner whenever the temperature rises above 30 degrees Celsius”, or “if there is motion on the security camera after 10pm, call Bob” …

Separating Representation, Reasoning, and Implementation for Interaction Management: Lessons from Automated Planning
ME Foster, RPA Petrick – Dialogues with Social Robots, 2017 – Springer
… settings. More generally, the work described here is situated in the context of a larger research programme aimed at revisiting the use of techniques from automated planning in the context of natural language interaction. We …

Implementing A Church–Turing–Deutsch Principle Machine on a Blockchain.
K Sgantzos – researchgate.net
… For this, Blockchain Tokens (ie: coins) will be used as a means of transaction. At the first stages of evolution the system would provide low-level programming support, but could be educated through Machine Learning to accept natural language interaction …

Pedagogical Agents as Team Members: Impact of Proactive and Pedagogical Behavior on the User
M Barange, J Saunier, A Pauchet – Proceedings of the 16th Conference …, 2017 – dl.acm.org
… Compared to the context model of Max agents, PC22BDI agent exhibits both reactive and proactive conversational be- haviors, and explicitly handles cooperative situations through natural language interaction between team members taking into account the user in the loop …

Why people use chatbots
PB Brandtzaeg, A Følstad – International Conference on Internet Science, 2017 – Springer
… Internet studies. In the 1960s, Weizenbaum published an innovative study on natural language interaction with ELIZA, a computer program developed to mimic the responses of a psychotherapist in a therapy session [9]. Dale …

Learning Articulated Object Models from Language and Vision
AF Daniele, TM Howard, MR Walter – ttic.edu
Page 1. Learning Articulated Object Models from Language and Vision Andrea F. Daniele TTI-Chicago Chicago, IL, USA afdaniele@ttic.edu Thomas M. Howard University of Rochester Rochester, NY, USA thoward@ece.rochester.edu …

Interactively Picking Real-World Objects with Unconstrained Spoken Language Instructions
J Hatori, Y Kikuchi, S Kobayashi, K Takahashi… – arXiv preprint arXiv …, 2017 – arxiv.org
… Computer Vision and Pattern Recognition, 2017. [7] R. Paul, et al., “Efficient grounding of abstract spatial concepts for natural language interaction with robot manipulators.” in Robotics: Science and Systems, 2016. [8] M. Shridhar …

Computer-Assisted Corrective Feedback And Language Learning
T Heift, V Hegelheimer – Corrective Feedback in Second …, 2017 – books.google.com
… AI techniques can be used to model the individualized learning experience, thus aiming at learning programs that come closer to natural language interaction between humans than has been the case with traditional Tutorial CALL …

Bot or Not? A Case Study on Bot Recognition from Web Session Logs
S Rovetta, A Cabri, F Masulli, G Suchacka – dibris.unige.it
… post automatically generated messages on services like Twitter or Telegram; conversational bots [2], au- tomatically replying to questions by human users with varying degrees of complexity, from simply reacting to keywords to engaging in natural language interaction using arti …

How Do You Want Your Chatbot? An Exploratory Wizard-of-Oz Study with Young, Urban Indians
IM Thies, N Menon, S Magapu, M Subramony… – IFIP Conference on …, 2017 – Springer
… Conversations and comments were all stored and later used to find appropriate response. Recent work in natural language interaction has presented models that can converse by predicting the next sentence given the previous sentence or sentences in a conversation [40] …

A Multiview Approach to Learning Articulated Motion Models
AF Daniele, TM Howard, MR Walter – ttic.edu
Page 1. A Multiview Approach to Learning Articulated Motion Models Andrea F. Daniele, Thomas M. Howard, and Matthew R. Walter Abstract In order for robots to operate effectively in homes and workplaces, they must be able …

Design Recommendations for Intelligent Tutoring System-Volume 5: Assessment Methods
R Sottilare, A Graesser, X Hu, G Goodwin – 2017 – books.google.com
… In addi- tion to the conventional human-computer interface features, some recent systems have incorporated natural language interaction (Graesser et al., 2012; Johnson & Valente, 2008), speech recognition (D’Mello, Graesser & King, 2010; Litman, 2013), and the sensing of …

Integration of context-aware conversational interfaces to develop practical applications for mobile devices
D Griol, JM Molina, A Sanchis – Journal of Ambient Intelligence …, 2017 – content.iospress.com
Smart mobile devices have fostered new interaction scenarios for Ambient Intelligence that demand sophisticated interfaces. The main developers of operating systems for such devices have provided APIs for developers to implement their own application.

Automated Semantic Query Formulation Using Machine Learning Approach.
RA Kadir, A RUFAI YAURI – Journal of Theoretical & Applied …, 2017 – search.ebscohost.com
Page 1. Journal of Theoretical and Applied Information Technology 30th June 2017. Vol.95. No 12 © 2005 – ongoing JATIT & LLS ISSN: 1992-8645 www.jatit.org E-ISSN: 1817-3195 2761 AUTOMATED SEMANTIC QUERY FORMULATION USING …

College of Natural Sciences
DT Habte – 2017 – etd.aau.edu.et
Page 1. Dialogue System for Advising Ethiopian Public Universities Students Addis Ababa University College of Natural Sciences Dereje Tsegab Habte A Thesis Submitted to the Department of Computer Science in Partial Fulfillment for the Degree of Master of Science in …

Combining Software Agents and Gaming through Student Play, an Educational Module in Agent SocialMetric
A Kuz, M Falco, RS Giandini – … y Sociedad (SLIS-CLEI)-JAIIO 46 …, 2017 – sedici.unlp.edu.ar
… University. [29] D. Perez-Marin, I. Pascual-Nieto. Conversational Agents and Natural Language Interaction: Techniques and Effective Practices. Premier reference source. Information Science Reference, 2011. [30] D. Allison …

Relational Symbol Grounding through Affordance Learning: An Overview of the ReGround Project
L Antanas, OA Can, J Davis, L De Raedt, A Loutfi… – isca-speech.org
… This approach is being empirically investigated using a con- crete set-up, that will serve as our evaluation platform. This set- up consists of a kitchen table equipped with a Kinova robotic arm, a Kinect RGB-D sensor and a console for simple natural language interaction …

Exploring the Dynamics of Relationships Between Expressed and Experienced Emotions
R Srinivasan, A Chander, CL Dam – International Conference on Intelligent …, 2017 – Springer
… References. 1. Perez, D.: Conversational Agents and Natural Language Interaction – Techniques and Practices. IGI Global, Hershey (2011)CrossRefGoogle Scholar. 2. Ferrara, E., Varol, O., Davis, C., Menczer, F., Flammini, A.: The rise of social bots …

Creativity and Creative Innovation: Evidences of Cognitive Functions During Creativity with Reference to Machine Cognition
N Anwar, K Ahmed – INTERNATIONAL JOURNAL OF COMPUTER …, 2017 – paper.ijcsns.org
… The internal evaluation depends on the technical ability of the agent in realizing the artwork, and it influences its Competence. The external evaluation is carried on a natural language interaction between the artist and the users …

Technology-supported effective transparency around open data: a dialogue game analysis
M Baker, J Groff, F Détienne, J Andriessen… – Proceedings of the …, 2017 – dl.acm.org
… Cambridge: Cambridge University Press. [10] JA Levin & JA Moore. 1983. Dialogue-Games: Metacommunication Structures for Natural Language Interaction. Cognitive Science, 1(4), 395-420. [11] S. Ludvigsen, A. Lund & R. Säljö. 2011 …

A Human-Robot-Environment Interactive Reasoning Mechanism for Object Sorting Robot
Y Lin, H Min, H Zhou, F Pei – IEEE Transactions on Cognitive …, 2017 – ieeexplore.ieee.org
… Another one is connected to the microphone and speaker to implement natural language interaction and reasoning, which act as the brains of our system … In particular, this mecha- nism is applied to Chinese natural language interaction as an example …

Embodied question answering
A Das, S Datta, G Gkioxari, S Lee, D Parikh… – arXiv preprint arXiv …, 2017 – arxiv.org
… In addition to being a fundamen- tal scientific goal in artificial intelligence (AI), even a small advance towards such intelligent systems can fundamentally change our lives – from assistive dialog agents for the vi- sually impaired, to natural-language interaction with self- driving …

Chatbot for Laundry and Dry Cleaning Service
BJ K?íž – is.muni.cz
Page 1. Masaryk University Faculty of Informatics Chatbot for Laundry and Dry Cleaning Service Master’s Thesis Bc. Jakub K?íž Brno, Spring 2017 Page 2. Masaryk University Faculty of Informatics Chatbot for Laundry and Dry Cleaning Service Master’s Thesis Bc. Jakub K?íž …

Deployment of Robotic Guides in Museum Contexts
M Pateraki, P Trahanias – Mixed Reality and Gamification for Cultural …, 2017 – Springer
… For natural language interaction, the robotic guide should integrate speech recog- nition technology, be capable of recognizing spoken phrases in noisy environments and of advanced speech synthesis, and be capable of producing spoken output of very high quality …

Automatic classification of doctor-patient questions for a virtual patient record query task
LC Llanos, S Rosset, P Zweigenbaum – BioNLP 2017, 2017 – aclweb.org
… There is a grow- ing interest of research groups towards integrat- ing Natural Language Interaction (NLI) features in medical education simulation systems (Hubal et al., 2003; Stevens et al., 2006; Kenny et al., 2008; Jaffe et al., 2015; Talbot et al., 2016) …

Are You Talking to Me? Reasoned Visual Dialog Generation through Adversarial Learning
Q Wu, P Wang, C Shen, I Reid, A Hengel – arXiv preprint arXiv:1711.07613, 2017 – arxiv.org
… However, in contrast to these classical vision-and-language tasks that only involve at most a single natural language interaction, visual dialog requires the machine to hold a meaningful dialogue in natural language about visual con- tent. Mostafazadeh et al …

Analysis of Online Discussions in Support of Requirements Discovery
I Morales-Ramirez, FM Kifetew, A Perini – International Conference on …, 2017 – Springer
Feedback about software applications and services that end-users express through web-based communication platforms represents an invaluable knowledge source for diverse software engineering tasks, inc.

Towards a dynamic discovery of smart services in the social internet of things
D Hussein, SN Han, GM Lee, N Crespi… – Computers & Electrical …, 2017 – Elsevier
… The NLP is responsible for fetching facts from a users’ search query or other natural language interaction with services. The RE is responsible for semantic matching of the contextual and profile-based data for representing a situation semantically …

Usance of Machine Learning in New Born Technologies
R Akshay, H Architha, S Shunmuga Priya – 2017 – academicscience.co.in
… Finally the implementation of the adaptive website so that the experience of the user is of high quality[3]. 1. Webwatcher: the software agent that was implemented includes the structure of web page and links. It helps for natural language interaction …

The Design Implementation Framework
ML Stone, KM Kent, RD Roscoe… – End-User …, 2017 – books.google.com
… Although innovative instructional ITS elements such as animated peda- gogical agents (Kim & Baylor, 2016), natural language interaction (Graesser, Li, & Forsyth, 2014), and affect-aware scaffolding (D’Mello & Graesser, 2015) can be effective, they are certainly influenced by …

A Hybrid Architecture for Multi-Party Conversational Systems
MG de Bayser, P Cavalin, R Souza, A Braz… – arXiv preprint arXiv …, 2017 – arxiv.org
… Informatique de Paris 6 (LIP6), Paris, France May 4, 2017 Abstract Multi-party Conversational Systems are systems with natural language interaction between one or more people or systems. From the moment that an utterance is …

Sensory Computing and Object Processing Entity: Assistive Robotics for Healthcare
JVI Bachkosky, A Boukhvalova, K Chou… – 2017 – drum.lib.umd.edu
… 20 2.5 Testing 28 2.6 Future Work 29 Chapter 3: Natural Language Interaction 31 3.1 Introduction to NLI 31 … Page 31. Page 31 Chapter 3: Natural Language Interaction 3.1 Introduction to NLI Natural Language Interaction (NLI) is the field of study that focuses on the interactions …

Towards a framework for computational persuasion with applications in behaviour change
A Hunter – Argument & Computation – content.iospress.com
Persuasion is an activity that involves one party trying to induce another party to believe something or to do something. It is an important and multifaceted human facility. Obviously, sales and marketing is heavily dependent on persuasion. But many.

INTRODUCTION TO ASSESSMENT METHODS & GIFT
RA Sottilare, AC Graesser, X Hu, GA Goodwin – … for Intelligent Tutoring … – gifttutoring.org
… In addi- tion to the conventional human-computer interface features, some recent systems have incorporated natural language interaction (Graesser et al., 2012; Johnson & Valente, 2008), speech recognition (D’Mello, Graesser & King, 2010; Litman, 2013), and the sensing of …

Survey on challenges of question answering in the semantic web
K Höffner, S Walter, E Marx, R Usbeck… – Semantic …, 2017 – content.iospress.com
Semantic Question Answering (SQA) removes two major access requirements to the Semantic Web: the mastery of a formal query language like SPARQL and knowledge of a specific vocabulary. Because of the complexity of natural language, SQA presents diffic.

Generalized Grounding Graphs: A Probabilistic Framework for Understanding Grounded Commands
T Kollar, S Tellex, M Walter, A Huang… – arXiv preprint arXiv …, 2017 – arxiv.org
Page 1. Generalized Grounding Graphs: A Probabilistic Framework for Understanding Grounded Commands Thomas Kollar1, Stefanie Tellex1, Matthew R. Walter, Albert Huang, Abraham Bachrach, Sachi Hemachandra, Emma …

Enrichment of Cross-Lingual Information on Chinese Genealogical Linked Data
H Dong – iConference 2017 Proceedings Vol. 2, 2017 – ideals.illinois.edu
… Retrieved from http://dx.doi.org/10.1108/02640471211221386 doi: 10.1108/02640471211221386 Damova, M., Dannélls, D., Enache, R., Mateva, M., & Ranta, A. (2014). Multilingual natural language interaction with semantic web knowledge bases and linked open data …

Analyzing the pragmatic structure of dialogues
F Macagno, S Bigi – Discourse Studies, 2017 – journals.sagepub.com
In this article, we describe the notion of dialogue move intended as the minimal unit for the analysis of dialogues. We propose an approach to discourse analysi…

Feature-based Compositing Memory Networks for Aspect-based Sentiment Classification in Social Internet of Things
R Ma, K Wang, T Qiu, AK Sangaiah, D Lin… – Future Generation …, 2017 – Elsevier
… user-friendliness and bridge human-to-machine perceptions in SIoT, Natural language processing (NLP) along with Machine Learning algorithms are applied for extracting the relevant signals from a users’ search query or other natural language interaction with services [9 …

Conflict in Comments: Learning but Lowering Perceptions, With Limits
WB Towne, CP Rosé, JD Herbsleb – … of the 2017 CHI Conference on …, 2017 – dl.acm.org
… User/Machine Systems: Human factors, Human information processing; H.5.2 Evaluation/ methodology, Natural language, Interaction styles; H.5.3 Group and Organization Interfaces: Computer-supported cooperative work, Web-based interaction, Evaluation/methodology …

Development of a mobile multi-device nutrition logger
A Seiderer, S Flutura, E André – Proceedings of the 2nd ACM SIGCHI …, 2017 – dl.acm.org
Page 1. Development of a Mobile Multi-device Nutrition Logger Andreas Seiderer University of Augsburg Augsburg, Germany seiderer@hcm-lab.de Simon Flutura University of Augsburg Augsburg, Germany flutura@hcm-lab.de …

2017 a Legal Research Odyssey: Artificial Intelligence as Disruptor
JJ Baker – 2017 – papers.ssrn.com
… champions Brad Rutter and Ken Jennings. 4 At this point, “IBM productized deep learning and natural language interaction to form a level of artificial intelligence known as ‘cognitive computing.’” 5 To perform against the former Jeopardy …

Reframing HRI Education: A Dialogic Reformulation of HRI Education to Promote Diverse Thinking and Scientific Progress
A Montebelli, EA Billing, J Lindblom… – Journal of Human …, 2017 – diva-portal.org
… Content typically presented in advanced HRI workshops comprise social signal processing, robotics and autism, child-robot interaction, multi-modal communication, natural language interaction, smart environments, interaction design for robots, and robot ethics …

Preparing for the Cognitive Generation of Decision Support.
HJ Watson – MIS Quarterly Executive, 2017 – misqe.org
… relational databases. Technology for natural language interaction (eg, EasyAsk) has been available for a while, and Echo or ThoughtSpot (or something similar to them) will change how information is accessed. Initially, users …

Unified human and robot command for disaster recovery situations
CI Lopez, J Kuczynski, HA Yanco – Technologies for Homeland …, 2017 – ieeexplore.ieee.org
… Available: http://doi.acm.org/10.1145/1226736.1226765 [3] DJ Brooks, C. Lignos, C. Finucane, MS Medvedev, I. Perera, V. Raman, H. Kress-Gazit, M. Marcus, and HA Yanco, “Make it so: Continuous, flexible natural language interaction with an autonomous robot,” in Grounding …

Synthetic Environments For Skills Training And Practice
R Hubal, T Parsons – The Sciences of Learning and Instructional …, 2017 – books.google.com
Page 224. 11 SYNTHETIC ENVIRONMENTS FOR SKILLS TRAINING AND PRACTICE Robert Hubal and Thomas Parsons Overview Today’s technologies—from Web 3.0 and beyond to mobile devices to game engines to immersive …

Playing with Persiflage: How free-form dialogue enables emergent narratives in orchestrated digital games
BJ Cheng – 2017 – search.proquest.com
… The challenge to game developers lies in building a system that is able to. interpret natural language both accurately and consistently. Faade [28] is an investigation into natural language interaction. Players speak with AI. agents Grace and Trip using typed dialogue (figure 2.2) …

Communicative Intentions and Commitments
F Macagno, D Walton – Interpreting Straw Man Argumentation, 2017 – Springer
This chapter analyzes the notion of commitment and shows how speakers’ commitments can be reconstructed. To this purpose, some models of utterance interpretation and the notions of speaker’s intention.

A Multidisciplinary Approach to Learning Human-Robot Interaction (HRI) Through Real-World Problem Solving—The “BUSA Dig”
R Blain, A Ferworn, J Li, J Tran… – Journal of Human-Robot …, 2017 – researchgate.net
… The following topics might all apply to an HRI course: robotics, artificial intelligence, communications, computer science, cognitive science, cybernetics, engineering, human factors, natural language, interaction design, psychology, sociology and human-computer interaction …

a large-scale study of surrogate Physicality and gesturing on human–surrogate interactions in a Public space
K Kim, A Nagendran, JN Bailenson, A Raij… – Frontiers in Robotics …, 2017 – frontiersin.org
Technological human surrogates, including robotic and virtual humans, have been popularly used in various scenarios including training, education, and entertainment. Prior research has investigated the effects of the surrogate’s physicality and gesturing in human perceptions and …

A Survey on Behavior Control Architectures for Social Robots in Healthcare Interventions
HL Cao, PG Esteban, A De Beir, R Simut… – … Journal of Humanoid …, 2017 – World Scientific
… upcoming interactions.23,24 However, in order to facilitate more e±cient interactions (eg, natural language interaction, more appropriate and personalized beha- viors23,26), it is necessary for the robot behavior control architecture to go beyond reactive behaviors into adaptive …

The psychology of questions
AC Graesser, JB Black – 2017 – books.google.com
Page 1. PSYCHOLOGYREV IV ALS The Psychology of Questions Edited by Arthur C. Graesser and John B. Black Page 2. Psychology Revivals The Psychology of Questions Originally published in 1985, the chapters in this volume …

Classification of Chatbot Inputs
A Stöckl – 2017 – researchgate.net
Page 1. Classification of Chatbot Inputs Andreas Stöckl 2017-07-24 Page 2. 2 Page 3. Contents 1 Introduction 5 1.1 A first small Example . . . . . 6 1.2 A larger testset of chat-inputs . . . . . 6 …

Objection! The staged relations between human beings and agentive objects as less anthropocentric alternative for the design of social robots and human-robot …
DHA Vermeulen – 2017 – dspace.library.uu.nl
Page 1. Objection! THE STAGED RELATIONS BETWEEN HUMAN BEINGS AND AGENTIVE OBJECTS AS LESS ANTHROPOCENTRIC ALTERNATIVE FOR THE DESIGN OF SOCIAL ROBOTS AND HUMAN-ROBOT INTERACTION. ———— Dennis Vermeulen …

A Warmer Welcome: Application of a Chatbot as a Facilitator for New Hires Onboarding
N Asher – 2017 – diva-portal.org
Page 1. Page 2. 2 Abstract Despite being explored and constantly improved through the years, onboarding of new hires in corporate organizations has remained a challenge. Many of the issues can be linked to a lack of communication between the organization and the new …

Virtual reality for research in social neuroscience
TD Parsons, A Gaggioli, G Riva – Brain sciences, 2017 – mdpi.com
The emergence of social neuroscience has significantly advanced our understanding of the relationship that exists between social processes and their neurobiological underpinnings. Social neuroscience research often involves the use of simple and static stimuli lacking many of …

Establishing Commitments Between Ambiguity and Misquotation
F Macagno, D Walton – Interpreting Straw Man Argumentation, 2017 – Springer
In this chapter, an argumentative approach to ambiguity and commitment attribution is advanced in order to address the problem of establishing the speaker’s commitments in case of ambiguity of his utt.

Affective learning: improving engagement and enhancing learning with affect-aware feedback
B Grawemeyer, M Mavrikis, W Holmes… – User Modeling and User …, 2017 – Springer
… al. 2005, 2010), which holds conversations with students in computer literacy and physics courses. The system classifies emotions based on natural language interaction, facial expressions, and gross body movements. The …

Whole Movies and Clips to Promote Focused Listening
L Holland, T Adamson – ORTESOL Journal, 2017 – search.proquest.com
… Varying the length of intervals between your pauses is preferred in order to mimic more natural language interaction and so that the task does not become too predictable. Choose your lines carefully so they are challenging without being overwhelming …

Syntax-Mediated Semantic Parsing
S Reddy – sivareddy.in
Page 1. Syntax-Mediated Semantic Parsing Siva Reddy T H E U NIVER S I T Y O F E DI NBU R G H Doctor of Philosophy Institute for Language, Cognition and Computation School of Informatics University of Edinburgh 2017 Page 2. Page 3. Abstract …

Parental control reversed: Using ADR for designing a low-cost monitoring system for elderly
T Mettler, M Bächle, S Daurer, A Judt – 2017 – aisel.aisnet.org
Page 1. Parental control reversed Thirty Eighth International Conference on Information Systems, South Korea 2017 1 Parental control reversed: Using ADR for designing a low-cost monitoring system for elderly Completed Research Paper …

Interactive testbed for research in autism—the SARA project
D Arellano, R Rauh, B Krautheim, M Spicker… – Universal Access in the …, 2017 – Springer
Page 1. LONG PAPER Interactive testbed for research in autism—the SARA project Diana Arellano1 • Reinhold Rauh2 • Benjamin Krautheim2 • Marc Spicker3 • Ulrich Max Schaller2 • Volker Helzle1 • Oliver Deussen3 © Springer-Verlag Berlin Heidelberg 2017 …

Information Technology and the US Workforce: Where Are We and Where Do We Go from Here?
National Academies of Sciences, Engineering, and … – 2017 – books.google.com
Page 1. THE NATIONAL ACADEMIES PRESS This PDF is availableathttp://www. nap.edu/24649 SHARE ? ? ? ? Information Technology and the US Workforce: Where Are We and Where Do We Go from Here? DETAILS 198 …

What are the preferred characteristics of a service robot for the elderly? A multi-country focus group study with older adults and caregivers
S Bedaf, P Marti, L De Witte – Assistive Technology, 2017 – Taylor & Francis

mHealth Design for patients with Gestational Diabetes
S Sharma – 2017 – bora.uib.no
… facebook, twitter or google. Figure 2: Speaktoit Assistant In HCI, the most common way to have natural language interaction agents with the user is a chatbot system that is a conversational agent (Dale, 2016). In this thesis, the …

” Dave… I can assure you… that it’s going to be all right…”–A definition, case for, and survey of algorithmic assurances in human-autonomy trust relationships
BW Israelsen, NR Ahmed – arXiv preprint arXiv:1711.03846, 2017 – arxiv.org
Page 1. 01 “Dave. . . I can assure you . . . that it’s going to be all right . . . ”? A definition, case for, and survey of algorithmic assurances in human-autonomy trust relationships BRETT W. ISRAELSEN† and NISAR R. AHMED, University …

A multi-agent framework to support user-aware conversational agents In an e-learning environment
M Procter – 2017 – dt.athabascau.ca
Page 1. ATHABASCA UNIVERSITY A MULTI-AGENT FRAMEWORK TO SUPPORT USER-AWARE CONVERSATIONAL AGENTS IN AN E-LEARNING ENVIRONMENT BY MICHAEL PROCTER A THESIS SUBMITTED TO THE FACULTY OF GRADUATE STUDIES …

Situated Intelligent Interactive Systems
Z Yu – 2017 – lti.cs.cmu.edu
… Task-oriented conversations refer to dialogs with a specific task to complete. The system works with users to complete a task through natural language interaction. For example, a job interview training system acts as an interviewer to train users for job interviews …

” I can assure you [$\ldots $] that it’s going to be all right”–A definition, case for, and survey of algorithmic assurances in human-autonomy trust relationships
BW Israelsen – arXiv preprint arXiv:1708.00495, 2017 – arxiv.org
Page 1. “I can assure you [. . . ] that it’s going to be all right”? A definition, case for, and survey of algorithmic assurances in human-autonomy trust relationships BRETT ISRAELSEN†, University of Colorado, BoulderDepartment of Computer Science, RECUV, and C-UAS …

Toward the design of evidence-based mental health information systems for people with depression: a systematic literature review and meta-analysis
F Wahle, L Bollhalder, T Kowatsch… – Journal of medical …, 2017 – ncbi.nlm.nih.gov

Real-time person re-identification for interactive environments
M Yusof, M Hafizuddin – 2017 – etheses.bham.ac.uk
Page 1. REAL-TIME PERSON RE-IDENTIFICATION FOR INTERACTIVE ENVIRONMENTS By Mohd Hafizuddin Mohd Yusof A thesis submitted to The University of Birmingham For the degree of DOCTOR OF PHILOSOPHY (Ph.D.) …

Realizing the Agent Interface
C Draude – Computing Bodies, 2017 – Springer
Page 1. 3. Realizing the Agent Interface 3.1. The Return of the Body 3.1.1. Addressing the Body With human-computer interaction, the embodied existence of the human – that is, its situatedness in a specific time and context – obviously plays an important role …

The Diffuse Intelligent Other
ME Gladden – researchgate.net
Page 1. The Diffuse Intelligent Other: An Ontology of Nonlocalizable Robots as Moral and Legal Actors Matthew E. Gladden Institute of Computer Science, Polish Academy of Sciences This text was first published as Gladden …

Affective interface–toward a machine that exhibits its state emotionally
H Lu – 2017 – ecommons.usask.ca
Page 1. AFFECTIVE INTERFACE – TOWARD A MACHINE THAT EXHIBITS ITS STATE EMOTIONALLY A Thesis Submitted to the College of Graduate and Postdoctoral Studies In Partial Fulfillment of the Requirements For the Degree of Master of Science …

Accessible Public Transportation: Designing Service for Riders with Disabilities
A Steinfeld, JL Maisel, E Steinfeld – 2017 – books.google.com
Page 1. Accessible Public Transportation Designing Service for Riders with Disabilities Edited by Aaron Steinfeld, Jordana L. Maisel, and Edward Steinfeld Page 2. Accessible Public Transportation The United States is home to more than 54 million people with disabilities …

Techniques and Challenges in Speech Synthesis
D Ferris – arXiv preprint arXiv:1709.07552, 2017 – arxiv.org
… Interface designers have known this for years – show, don’t tell. So why are consumer electronics talking to us more than ever before? The resurgence of natural language interaction with electronics can be traced to the advent of several technologies in recent years …

A Contribution to Resource-Aware Architectures for Humanoid Robots
M Kröhnert – 2017 – books.google.com
… The skills of humanoid robots for performing tasks in such challenging environments include but are not limited to natural language interaction, environmental perception, learning processes, object recognition, motion planning, grasp planning, object grasping and manipulation …

Serious games for learning: a model and a reference architecture for efficient game development
B Carvalho, MB Maira – 2017 – pure.tue.nl
Page 1. Serious games for learning : a model and a reference architecture for efficient game development Carvalho, MB Published: 01/02/2017 Document Version Publisher’s PDF, also known as Version of Record (includes final page, issue and volume numbers) …

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