Human-Robot Interaction & Dialog Systems 2017 (Natural Language Processing)


Notes:

  • Counseling agent

Resources:

  • icsoro.org .. international conference on social robotics (icsr)

Wikipedia:

References:

See also:

100 Best Pepper Robot Videos100 Best Robot Speech Synthesis Videos100 Best Social Robotics VideosCognitive Architecture & RoboticsEmpathy & RobotsHuman-Robot Dialog 2016Robot Brains 2016Robot Control SchemesRobot Dreams 2017ROILA (Robot Interaction Language)ROS (Robot Operating System) & Natural Language 2016YARP (Yet Another Robot Platform)


Artificial cognition for social human–robot interaction: An implementation
S Lemaignan, M Warnier, EA Sisbot, A Clodic… – Artificial Intelligence, 2017 – Elsevier
… The Sections 5 and 6 finally summarise our main contributions and restate the key challenges that human–robot interaction brings to … 1 The natural language processing component illustrates this structure: instead of being an independent input modality whose outputs would be …

Is spoken language all-or-nothing? Implications for future speech-based human-machine interaction
RK Moore – Dialogues with Social Robots, 2017 – Springer
… automatic speech recognition and speech synthesis with natural language processing and dialogue … of increasing the flexibility of spoken language dialogue systems; increasing flexibility can … configuration that might usefully inform spoken human-robot interaction in hitherto …

Multimodal language specification for human adaptive mechatronics
F Ferri, A D’Ulizia, P Grifoni – arXiv preprint arXiv:1703.05616, 2017 – arxiv.org
… languages consists in starting from techniques used in Natural Language Processing (NLP) (see … Rivas, A. Corrales, E. Delgado, MA Salichs, “Multimodal Human-Robot Interaction Framework for … Multimodal Fusion: A New Hybrid Strategy for Dialogue Systems”, In Proceedings …

Bwibots: A platform for bridging the gap between ai and human–robot interaction research
P Khandelwal, S Zhang, J Sinapov… – … Journal of Robotics …, 2017 – journals.sagepub.com
Recent progress in both AI and robotics have enabled the development of general purpose robot platforms that are capable of executing a wide variety of complex,…

Internationalisation and localisation of spoken dialogue systems
N Laxström, G Wilcock, K Jokinen – Dialogues with Social Robots, 2017 – Springer
… Natural language processing is one WikiTalk component for which this principle is important … increasing the quality of internationalisation support for spoken dialogue systems such as … suggests that proximity is another multimodal feature of human-robot interaction that requires …

It’s Not What You Do, It’s How You Do It: Grounding Uncertainty for a Simple Robot
J Hough, D Schlangen – … Conference on Human-Robot Interaction, 2017 – dl.acm.org
Page 1. It’s Not What You Do, It’s How You Do It: Grounding Uncertainty for a Simple Robot Julian Hough and David Schlangen Dialogue Systems Group // CITEC Faculty of Linguistics and Literature Bielefeld University firstname.lastname@uni-bielefeld.de …

A simple generative model of incremental reference resolution for situated dialogue
C Kennington, D Schlangen – Computer Speech & Language, 2017 – Elsevier
… early as possible (in other words, time is shared). The overall goal of this paper is to model L’s comprehension process and implement it as a component in a spoken dialogue system. More formally, this can be modelled as a …

Reducing errors in object-fetching interactions through social feedback
D Whitney, E Rosen, J MacGlashan… – … (ICRA), 2017 IEEE …, 2017 – ieeexplore.ieee.org
… acccuracy but were limited by their rule based approaches [7]. Common methods of natural language processing treat speech as … Williams and Young [24] casted a spoken dialogue system as a POMDP … [4] created a probabilistic model for human- robot interaction that allows a …

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
… Gordon Briggs NRC Postdoctoral Fellow, US Naval Research Laboratory Tom Williams Human-Robot Interaction Laboratory, Tufts University and Matthias Scheutz Human-Robot Interaction Laboratory, Tufts University … Journal of Human-Robot Interaction, Vol. 6, No …

Using acoustic paralinguistic information to assess the interaction quality in speech-based systems for elderly users
H Pérez-Espinosa, J Martínez-Miranda… – International Journal of …, 2017 – Elsevier
… Georgila et al. (2008) created a corpus of interactions made by older and young users using a Wizard-of-Oz (WoZ)-based dialogue system, where they designed and annotated this corpus to examine the impact of cognitive aging on user interactions with this type of system …

Robot perception errors and human resolution strategies in situated human–robot dialogue
N Schütte, B Mac Namee, J Kelleher – Advanced Robotics, 2017 – Taylor & Francis
… Mediating between qualitative and quantitative representations for task-oriented human–robot interaction … The Toy Block system enables users to interact through a dialogue system with a robot that can manipulate objects in … Natural language processing and spatial reasoning …

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
… Keywords assistive technologies; robot wheelchairs; robot architec- tures; human-robot interaction; communication; frame- works for agents and multi … 4.5.2 Natural Language Processing (NLP) The NLP component first performs syntactic processing using the C&C CCG-based …

Conversational bootstrapping and other tricks of a concierge robot
S Guo, J Lenchner, J Connell, M Dholakia… – … Human-Robot Interaction, 2017 – dl.acm.org
… systems; text classification; online learning; conversational agents; human-robot interaction; concierge robots 1 … Early intelligent dialog systems acted on declarative knowledge to process data … As natural language processing (NLP) has become more mature, greater interest has …

SUGILITE: creating multimodal smartphone automation by demonstration
TJJ Li, A Azaria, BA Myers – Proceedings of the 2017 CHI Conference …, 2017 – dl.acm.org
… Much work also has been done on PBD for human-robot interaction (eg [3,6,35]) … To address this, we are collaborating with researchers in natural language processing, who are working on under- standing the semantics in verbal commands and smartphone apps [10,41] …

Improvised theatre alongside artificial intelligences
KW Mathewson, P Mirowski – AAAI Conference on …, 2017 – pdfs.semanticscholar.org
… Improvisational the- atre demands creativity, rapid artistic generation, and natural language processing. Improvisation is not a zero-sum game … Challenges for spoken dialogue systems. In Proc 1999 IEEE ASRU Wkshp … 2016. Compu- tational human-robot interaction …

Augmented reality dialog interface for multimodal teleoperation
A Pereira, EJ Carter, I Leite, J Mars… – Robot and Human …, 2017 – ieeexplore.ieee.org
… and augmented reality applications in several domains [2], [3]. In Human-Robot Interaction (HRI), the … by a human controlling a robot in WoZ settings were natural language processing and nonver … 1) Verbal Errors: Log files from the dialog system were compared to the scripts to …

Methodologies for realizing natural-language-facilitated human-robot cooperation: A review
R Liu, X Zhang – arXiv preprint arXiv:1701.08756, 2017 – arxiv.org
… Page 2. submitted to Knowledge-based Systems, January 2017 2. Motivation From the realization perspective, motivations of NLC research are concluded as research developments in natural language processing (NLP) and HRC. 2.1 …

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…

Multimodal dialogue system with NAO and VoiceXML dialogue manager
S Ondáš, J Juhár, M Pleva, P Fer?ák… – … ), 2017 8th IEEE …, 2017 – ieeexplore.ieee.org
… IV. CONCLUSION The newly designed multimodal dialogue system with NAO robot has been introduced and described … In the frame of project called “Cloud Based Human Robot Interaction” (APPV-15-0731) we plan to work on cloud implementation [1] of the dialogue, integrate …

Preliminary evaluation of the multimodal interactive system for NAO robot
S Ondáš, M Pleva, J Juhár… – … and Applications (ICETA) …, 2017 – ieeexplore.ieee.org
… speech recognition, text-to-speech systems and natural language processing, into distinct … Combination of speech and gestures supports natural and effective human-robot interaction … and simpler, we designed and developed the multimodal dialogue system, which enables …

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
… We present an experiment designed to elicit robot- directed language that is a happy medium be- tween existing natural language processing capa- bilities and fully natural communication. The data elicited will be used to train a dialogue system in the future, and it provides …

A conventional dialogue model based on dialogue patterns
GD Duplessis, A Pauchet, N Chaignaud… – … Journal on Artificial …, 2017 – World Scientific
… as initiative-response units,12 and as structures capturing commitments cre- ated during dialogue.32 On both practical and formal level, rules of dialogue games have been represented as recursive transition networks for virtual agents35,36 and human-robot interaction.37–39 …

Natural language understanding and communication for human-robot collaboration
MI Bloch – ipvs.informatik.uni-stuttgart.de
… Natural language processing describes the whole process of translating speech to text and text … above mentioned, with a data driven approach for human robot interaction on several … Considering autonomously working robots with planning abilities, a dialog system makes these …

Interpreting and extracting open knowledge for human-robot interaction
D Lu, X Chen – IEEE/CAA Journal of Automatica Sinica, 2017 – ieeexplore.ieee.org
… The overall architecture of our robot, is shown in Fig.1. In the human-robot interaction, the robot is driven by the user’s instructions from the dialogue. The instruction will be processed to get its semantic form in the multi-mode natural language processing (NLP) module …

A conversational dialogue manager for the humanoid robot erica
P Milhorat, D Lala, K Inoue, T Zhao… – Proceedings of …, 2017 – sap.ist.i.kyoto-u.ac.jp
… In: In- terantional Joint conference on Natural Language Processing, pp … G., Hjalmarsson, A., Oertel, C.: Turn-taking, feedback and joint attention in situated human-robot interaction … TH, Young, S.: On-line Reward Learning for Policy Optimisation in Spoken Dialogue Systems …

A review of spatial reasoning and interaction for real-world robotics
C Landsiedel, V Rieser, M Walter, D Wollherr – Advanced Robotics, 2017 – Taylor & Francis
… 2.1. Situated dialogue for human-robot interaction … has three modules, one each for input, output and control, as shown in Figure 1 after [1 Rieser V, Lemon O. Reinforcement learning for adaptive dialogue systems: a data … Theory and applications of natural language processing …

KILLE: a Framework for Situated Agents for Learning Language Through Interaction
S Dobnik, EW de Graaf – Proceedings of the 21st Nordic Conference on …, 2017 – ep.liu.se
… KILLE is a non-mobile table-top robot connecting Kinect sen- sors with image processing and classification and a spoken dialogue system. The system learns to recognise objects presented to it by a human tu- 162 Page 2. tor from scratch …

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…

Simulating empathic behavior in a social assistive robot
B De Carolis, S Ferilli, G Palestra – Multimedia Tools and Applications, 2017 – Springer
… Cognitive empathy refers to the understanding of how another feels, while affective empathy represents an active emotional reaction to another’s affective state [2]. In the field of human-robot interaction, researchers have demonstrated the benefits of empathy in robot behavior …

En route to a better integration and evaluation of social capacities in vocal artificial agents
F Lefèvre – Proceedings of the 1st ACM SIGCHI International …, 2017 – dl.acm.org
… funded by the French National Agency for Research, we considered a Pick-Place-Carry human-robot interaction task involving … Turn-taking phenomena in incremental dialogue systems. In 2015 Conference on Empirical Methods in Natural Language Processing, EMNLP 2015 …

A Novel Concept of the Rehabilitation Training Coach Robot for Patients with Disability
SH Han, HG Kim, HJ Choi – Mobile Data Management (MDM) …, 2017 – ieeexplore.ieee.org
… such as chatbot to our robot is not considered, because it is a complex algorithm and we need a powerful processor for real-time natural language processing, which may … Therefore, although is it not in our plan yet, we will try to integrate simple dialogue system into our robot …

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…

Object Referring in Visual Scene with Spoken Language
AB Vasudevan, D Dai, L Van Gool – arXiv preprint arXiv:1711.03800, 2017 – arxiv.org
… witnessed a great advancement in the subfields of Artificial Intelligence [22], such as Computer Vi- sion, Natural Language Processing and Speech … For instance, a joint model is learned from gestures, languages, and visual scenes for human-robot interaction in [27] ; different …

Typefaces and the Perception of Humanness in Natural Language Chatbots
H Candello, C Pinhanez, F Figueiredo – … of the 2017 CHI Conference on …, 2017 – dl.acm.org
… Author Keywords User experience; Typography; Dialogue systems; Chatbots … Although some of the chatbots are not more than textual representational of menus, the availability of natural language processing open source libraries and API services is enabling the deployment of …

Computer Vision and Natural Language Processing: Recent Approaches in Multimedia and Robotics
P Wiriyathammabhum, D Summers-Stay… – ACM Computing …, 2017 – dl.acm.org
… include visual attributes, image captioning, video captioning, visual question answering, visual retrieval, human-robot interaction, robotic actions, and robot navigation. We also emphasize strategies to integrate computer vision and natural language processing models as a …

LAST MINUTE: An Empirical Experiment in User-Companion Interaction and Its Evaluation
J Frommer, D Rösner, R Andrich, R Friesen… – Companion …, 2017 – Springer
… LMC not only comprises 57.5 h of multimodal recordings (audio, video, psycho-biological data) from interactions between users—133 subjects in sum, balanced in age and gender—and a WoZ-simulated speech-based interactive dialogue system …

Learning proactive behavior for interactive social robots
P Liu, DF Glas, T Kanda, H Ishiguro – Autonomous Robots, 2017 – Springer
… 2, which illustrates how behaviors are learnt from human–human interaction and generated in human–robot interaction … This assumption has been made in HRI (Thomaz and Chao 2011; Chao and Thomaz 2011) and other spoken dialogue systems as well (Raux and Eske …

Effects of Types of Voice-Based Chat on EFL Students’ Negotiation of Meaning According to Proficiency Levels
NY Kim – ENGLISH TEACHING (????), 2017 – journal.kate.or.kr
… Students can have authentic and natural conversations with programmed topics (Bernstein, Najmi & Ehsani, 1999), be involved in digital storytelling (Kory & Breazeal, 2014), and practice social conversations with dialogue systems employing recognition technologies (Stewart & …

Interaction Model for Incremental Information Presentation
B Carlmeyer, M Chromik, B Wrede – Proceedings of the 5th International …, 2017 – dl.acm.org
… presentation: User Inter- faces—natural language; I.2.7 Artificial intelligence: Natural Language Processing … processing pipeline is a combination of two dialog systems presented in [2 … Workshop on Multimodal, Multi-Party, Real-World Human-Robot Interaction (ICMI-MMRWHRI …

Grounding Imperatives to Actions is Not Enough: A Challenge for Grounded NLU for Robots from Human-Human Data
J Hough, S Zarrieß, D Schlangen – 2017 – pub.uni-bielefeld.de
… Dialogue Systems Group // CITEC Faculty of Linguistics and Literature Bielefeld Univerisity firstname … these still only permit a command-and-control Human-Robot Interaction (HRI) with … Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing …

Wizard’s Apprentice: Cognitive Suggestion Support for Wizard-of-Oz Question Answering
J Ahn, P Watson, M Chang, S Sundararajan… – … Conference on Artificial …, 2017 – Springer
… Recent advances in artificial intelligence and natural language processing enhance the capabilities of … for teaching mathematics [4], multimodal mobile systems [12], Human-Robot Interaction [13], and … This dialog system provides it’s best cognitive conversation suggestion to …

Dialogue with Robots to Support Symbiotic Autonomy
A Vanzo, D Croce, E Bastianelli, G Gemignani… – Dialogues with Social …, 2017 – Springer
… present a preliminary version of a cascade of reusable Natural Language Processing (NLP) modules … B.: The curious robot as a case-study for comparing dialog systems … R., Schermerhorn, PW: Toward humanlike task-based dialogue processing for human robot interaction …

Strategies and mechanisms to enable dialogue agents to respond appropriately to indirect speech acts
G Briggs, M Scheutz – … (RO-MAN), 2017 26th IEEE International …, 2017 – ieeexplore.ieee.org
… of these mechanisms in a fully-autonomous, integrated, human-robot interaction (HRI) scenario … authors’ knowledge, there is no existing computational dialogue system that implements … A. Utterance Representation We assume that the natural language processing subsystem of …

Defining Soldier Intent in a Human-Robot Natural Language Interaction Context
E Holder – 2017 – dtic.mil
… This framework will provide a structure, a goal, and benchmarks for existing and future efforts. 15. SUBJECT TERMS intent, human–robot interaction, human factors, autonomy, Natural Language Dialog, shared understanding 16. SECURITY CLASSIFICATION OF: 17 …

Ergonomic Intervention In Human-Robot Dialogue System Design: The Emerging Trends
SAH Rizvi, SW Hasan – Innovative Product Design & Development – researchgate.net
… from different specialties like robotics, cognitive science, anthropometry, psychology, hu- man-computer-interaction, natural language processing, artifi- cial … [5] Martín, FA et al, 2015, Augmented Robotics Dialog System for En- hancing Human–Robot Interaction (Paravati G, & …

BEAT-o-matic: a baseline for learning behavior expressions from utterances
M Gallé, A Arora – pdfs.semanticscholar.org
… As open-domain dialogue systems are still out-of-scope of our current understanding of natural language processing and machine learning … A model for synthesizing a combined verbal and nonverbal behavior based on personality traits in human- robot interaction …

A computational model for automatic generation of domain-specific dialogues using machine learning
A Vázquez, D Pinto, D Vilariño – … of the XVIII International Conference on …, 2017 – dl.acm.org
… CCS Concepts • Computing methodologies ? Machine Learning ? Learning paradigms ? Supervised learning; • Artificial intelligence ? Natural language processing … This approach has been implemented in an oral dialogue system for human-robot interaction and has …

Natural, Multi-modal Interfaces for Unmanned Systems
G Taylor – … Conference on Engineering Psychology and Cognitive …, 2017 – Springer
… In: Applied Natural Language Processing Conference (2000)Google Scholar. 20 … Yanco, HA, Drury, J., Scholtz, J.: Beyond usability evaluation: analysis of human robot interaction at a major robotics competition. J. Hum … Paek, T.: Empirical methods for evaluating dialog systems …

Quick Recapitulation What Have We Learned?
WHWE LEARNED – idt.mdh.se
… software engineering, statistics, machine learning • Different applications: machine translation, dialogue systems, natural language … 12 Page 13. Cross-disciplinary Natural Language Processing Peter Ljunglöf … human-computer interaction, human-robot interaction, multimodality …

Towards Deep End-of-Turn Prediction for Situated Spoken Dialogue Systems
A Maier, J Hough, D Schlangen – … of INTERSPEECH 2017, 2017 – pub.uni-bielefeld.de
… [4] J. Hough and D. Schlangen, “Investigating fluidity for human- robot interaction with real … Schlangen, “Towards incremental end-of-utterance detection in dialogue systems,” Proceedings of … of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP …

First Time Encounters with Roberta: a Humanoid Assistant for Conversational Autobiography Creation
M Lee, S Schlögl, S Montenegro, A López, A Ratni… – researchgate.net
… The multidisciplinary field of human-robot interaction (HRI) is filled with ongoing developments … II. BACKGROUND To start, a Spoken Dialog System (SDS) is an assembly of natural language processing units that permits spoken inter- action between a non-human agent or a …

Natural Language Informs the Interpretation of Iconic Gestures: A Computational Approach
T Han, J Hough, D Schlangen – … on Natural Language Processing  …, 2017 – aclweb.org
Page 1. Proceedings of the The 8th International Joint Conference on Natural Language Processing, pages 134–139, Taipei, Taiwan, November 27 – December 1, 2017 cO2017 AFNLP … 2013. A dialogue system for mul- timodal human-robot interaction …

Context respectful counseling agent integrated with robot nodding for dialog promotion
K Kurashige, S Tsuruta, E Sakurai… – Systems, Man, and …, 2017 – ieeexplore.ieee.org
… By natural language processing, terms and their structure are extracted using an ontology dictionary, and then saved in context objects … [7] S. Han, K. Lee, D. Lee, GG Lee, “Counseling Dialog System with 5W1H Extraction” Proceeding of the SIGDIAL 2013 Conferrence, pp …

Challenges in Building Highly Interactive Dialogue Systems
AI Magazine – AI Magazine, 2017 – cs.utep.edu
… In Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction (HRI’14 … In Proceedings of the Empirical Methods in Natural Language Processing (EMNLP 2013 … presented at the 2015 International Workshop on Spoken Dialogue Systems Technology, 11 …

Joint Learning of Dialog Act Segmentation and Recognition in Spoken Dialog Using Neural Networks
T Zhao, T Kawahara – … on Natural Language Processing (Volume 1: Long …, 2017 – aclweb.org
Proceedings of the The 8th International Joint Conference on Natural Language Processing, pages 704–712, Taipei, Taiwan, November 27 – December 1, 2017 … Dialog act segmentation and recognition are basic natural language understanding tasks in spoken dialog systems …

The Intelligent Platform of Autonomous Learning in Higher Vocational Education Based on BOT FRAMEWORK
QC Wei – Smart Grid and Electrical Automation (ICSGEA), 2017 …, 2017 – ieeexplore.ieee.org
… in Natural Language Processing, 2011:583Y593. [3] L. Shang, Z. Lu, and H. Li. Neural Responding Machine for ShortYtext Conversation. In Proceedings of ACL, 2015. [4] IV Serban., A. Sordoni, Y. Bengio et al. Building EndYToY End Dialogue Systems Using Generative …

Symbol, Conversational, and Societal Grounding with a Toy Robot
C Kennington, S Plane – arXiv preprint arXiv:1709.10486, 2017 – arxiv.org
… Linguistics and the 7th Interna- tional Joint Conference on Natural Language Processing (Volume 1: Long … Human- Robot Interaction (HRI), 2010 5th ACM/IEEE Interna- tional Conference on 259 … A Toolkit for Devel- oping Spoken Dialogue Systems with Probabilistic Rules …

Guidelines for improving task-based natural language understanding in human-robot rescue teams
M Beetz, M Scheutz, F Yazdani – … (CogInfoCom), 2017 8th IEEE …, 2017 – ieeexplore.ieee.org
… is an increasing need for tech- nologies in natural human-robot interaction (HRI) and … analysis that can be used to improve current NL understanding and dialogue systems … extended our task interpretation system with components of natural language processing and integrated …

Towards Natural Language Understanding using Multimodal Deep Learning
S Bos – pdfs.semanticscholar.org
Page 1. Towards Natural Language Understanding using Multimodal Deep Learning Steven Bos Delft Un iversity of T echnolog y Page 2. Page 3. Towards Natural Language Understanding using Multimodal Deep Learning THESIS …

Cognitive-affective dialog generation. integrating GOAL with dialog management
SN Conde Camacho – 2017 – pequod.det.uvigo.es
… BDI-agent, cognitive agent, cognitive-affective, conversational agents, dialog management, human-robot interaction, GOAL … They propose a spoken dialog system, an overview of its architecture is … in figure 2. The main component is a natural language processing and dialog …

What no robot has seen before—Probabilistic interpretation of natural-language object descriptions
D Nyga, M Picklum, M Beetz – Robotics and Automation (ICRA) …, 2017 – ieeexplore.ieee.org
… up articles about cups in online sources like Wikipedia or ask a human instructor for a definition by means of a dialog system similarly to [1]. The definition is then analyzed for perceptual attributes that typically compose a cup, such as that it is a relatively small container which …

Beyond On-Hold Messages: Conversational Time-Buying in Task-Oriented Dialogue
MS Lopez Gambino, S Zarrieß… – Proceedings of SIGdial …, 2017 – pub.uni-bielefeld.de
… In Proceedings of the 2012 Joint Confer- ence on Empirical Methods in Natural Language Processing and Computational Natural … Content planning and genera- tion in continuous-speech spoken dialog systems … How to improve human-robot interaction with conversational fillers …

Beyond On-Hold Messages: Conversational Time-Buying in Task-Oriented Dialogue
SL Gambino, S Zarrieß, D Schlangen – Proceedings of the 18th Annual …, 2017 – aclweb.org
… In Proceedings of the 2012 Joint Confer- ence on Empirical Methods in Natural Language Processing and Computational Natural … Content planning and genera- tion in continuous-speech spoken dialog systems … How to improve human-robot interaction with conversational fillers …

Conversational Agent-Based Behaviour Change Support Systems: Comparing the Technical Aspects of Recent Applications
A de Vos, J Nieuwdorp, R Keulemans – adriaandevos.nl
… Keywords Conversational Agent (CA), virtual agent, Behaviour Change Support System (BCSS), health, intervention, dialog system, e-coach, features … This is often done through Natural Language processing and is a complicated but promising technique that will be discussed …

A Pilot Study on Using an Intelligent Life-like Robot as a Companion for Elderly Individuals with Dementia and Depression
H Abdollahi, A Mollahosseini, JT Lane… – arXiv preprint arXiv …, 2017 – arxiv.org
… that each individual looked for different features (eg, spoken dialog system, cognitive games … SARs with a focus on the socialization aspect of Human-Robot Interaction (HRI) is a … emotion recognition Aylien [24] system which is an online natural language processing service for …

Towards a Response Selection System for Spoken Requests in a Physical Domain
A Partovi, I Zukerman, Q Tran – pdfs.semanticscholar.org
… Workshop on Knowledge and Rea- soning in Practical Dialogue Systems, pages 62 … of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 1192 … Spatial reference in linguistic human-robot interaction: Iterative, empir- ically supported development …

Intelligent User Interfaces-A Tutorial
D Sonntag – arXiv preprint arXiv:1702.05250, 2017 – arxiv.org
… motion and manipulation, natural language processing, and social interaction … A new generation of natural language dialogue systems is emerging that transforms traditional keyword … for expert knowledge acquisition, human behaviour input and human-robot interaction by using …

Integrating CALL Systems with Chatbots as Conversational Partners
BA Shawar – Computación y Sistemas, 2017 – cys.cic.ipn.mx
… CALL, chatbot, dialogue system, language learning environment … Authors of [11] tried to improve CALL by integrating natural language processing and personalized information retrieval into a single unit to build their Scientific Terminology Learning Environment (STyLE) [11, 23 …

Lexical Acquisition through Implicit Confirmations over Multiple Dialogues
K Ono, R Takeda, E Nichols, M Nakano… – Proceedings of the 18th …, 2017 – aclweb.org
… 1 Introduction Much attention has recently been paid to non-task-oriented dialogue systems —or chat- oriented dialogue systems— both in research (Higashinakaetal., 2014; Yuetal., 2016) and in industry. In addition to pure …

Emotion Models: A Review
S PS, GS Mahalakshmi – researchgate.net
… system,” In Tutorial and Research Workshop on affective dialogue systems, pp … D. Kulic, EA Croft, “Affective state estimation for human–robot interaction,” IEEE Transactions … on human language technology and empirical methods in natural language processing, Association for …

Non-Contextual Modeling of Sarcasm using a Neural Network Benchmark
V Ashokkumar, ND Radpour – 2017 – ttic.edu
… One of the most crucial components of natural human-robot interaction is artificial intuition and its influence on dialog systems … of sentiment analy- sis, human-computer interaction and opinion mining, is a very popular Natural Language Processing research prob- lem …

A Unified Theory of Learning, Doing and Teaching Hierarchical Tasks: The Learn-Do-Teach Challenge for Collaborative Agents
C Rich, CL Sidner – pdfs.semanticscholar.org
… Building a Bridge between Intelligent Tutoring and Collaborative Dialogue Systems” [51] … developed separately, primarily as subfields of robotics and natural language processing, respectively … Furthermore, their work focuses on the human-robot interaction mechanisms, such …

A new friend in our smartphone?: observing interactions with chatbots in the search of emotional engagement
M Portela, C Granell-Canut – … of the XVIII International Conference on …, 2017 – dl.acm.org
… have been recurrently made in the AI and Human-Robot Interaction research fields … for spec- ifying sophisticated conversations to fully exploit the capabilities of natural language processing … In Advances in Natural Multimodal Dialogue Systems, Jan CJ van Kuppevelt, Laila …

Ethical responsibilities of researchers and participants in the development of multimodal interaction corpora
M Koutsombogera, C Vogel – … (CogInfoCom), 2017 8th IEEE …, 2017 – ieeexplore.ieee.org
… fields of natural language processing, human-human, human-machine and human-robot interaction, as well … ethical usage of affective robots [6], privacy protection in natural language processing tasks [7 … hoping to provide insights to the design of dialogue systems and intelligent …

Probabilistic nod generation model based on estimated utterance categories
C Liu, C Ishi, H Ishiguro – … and Systems (IROS), 2017 IEEE/RSJ …, 2017 – ieeexplore.ieee.org
… Furthermore, recognizing whether a phrase is backchannel is critical for a dialog system since it requires no … BOW): The BOW model is a simplified representation widely used in natural language processing works … of IEEE/RSJ Human Robot Interaction (HRI 2010), 293-300, 2010 …

EchoBot: Facilitating Data Collection for Robot Learning with the Amazon Echo
R Kapadia, S Staszak, L Jian, K Goldberg – 2017 – pdfs.semanticscholar.org
… masters’ thesis committee, and the resources from her class on Algorithmic Human-Robot Interaction … These systems utilize speech recognition and natural language processing to facilitate interactions with devices … 5]. The studies in [2, 43] rely on dialogue systems that enable …

Domain Transfer for Deep Natural Language Generation from Abstract Meaning Representations
N Dethlefs – IEEE Computational Intelligence Magazine, 2017 – ieeexplore.ieee.org
Page 1. 18 IEEE ComputatIonal IntEllIgEnCE magazInE | august 2017 1556-603x/17© 2017IEEE Digital Object Identifier 10.1109/MCI.2017.2708558 Date of publication: 19 July 2017 Abstract—Stochastic natural language generation …

Response selection from unstructured documents for human-computer conversation systems
Z Yan, N Duan, J Bao, P Chen, M Zhou, Z Li – Knowledge-Based Systems, 2017 – Elsevier
… query-sentence pairs. Keywords. Human-computer conversation system; Human-robot interaction; Text matching; Natural language processing; Artificial intelligence. MSC. 00-01; 99-00. 1. Introduction. Constructing human-computer …

Rule Extraction Method Considering Reliability for Synchronized Behavior of Group Robots in Multi-party Conversations
K Sakai, Y Yoshikawa, H Ishiguro – International Conference on Social …, 2017 – Springer
… previous studies that applied the N-gram model for natural language processing, we calculated the … dimensional ones, as well as the development of a dialogue systems using multiple … In: Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, pp …

Natural text to abstract concept mapping for collaborative HRI
U Kara – ipvs.informatik.uni-stuttgart.de
… NLP natural language processing … Modern robotic systems set up for collaborative human-robot-interaction (HRI) are partly able to understand basic tasks given in natural … The dialogue system, that is used to resolve any ambiguity, should be able to ask for specific details …

Situation Understanding for Turn-Taking in Human-Robot Dialogue
???? – 2017 – ir.library.osaka-u.ac.jp
… [A-2, B-2, B-3, B-4]. This chapter discusses two issues that arise when applying this model to the spoken dialogue system and describes the actual construction … We assume that this convention can be applied to human-robot interaction and have built a model that uses the …

Effects of Voice-Chat Conditions on Korean EFL Learners’ Affective Factors
NY Kim – ?????, 2017 – db.koreascholar.com
… and File (2007) introduce a computer dialogue system, Let’s Chat, encouraging learners to rehearse conversations without a human partner. However, the system works with pre-stored phrases, which means that it has technological limitations of natural language processing …

Non-Contextual Modeling of Sarcasm using a Neural Network Benchmark
ND Radpour, V Ashokkumar – arXiv preprint arXiv:1711.07404, 2017 – arxiv.org
… Abstract One of the most crucial components of natural human-robot interaction is artificial … in communication and making for much more natural and engaging dialogue systems … and opinion mining, is a complicated problem in natural language processing, where creating the …

Dixon: TurtleBot Voice Commands
A Rhodes, S Bajracharya – eecs.csuohio.edu
… The reasoning behind this project was that currently, human- robot interaction (HRI) is quite obtuse … An improved parser with deeper semantic parsing and natural language processing can be introduced [8 … Similarly, for improved task planning we can use a dialog system to get …

Draw and Tell: Multimodal Descriptions Outperform Verbal-or Sketch-Only Descriptions in an Image Retrieval Task
T Han, D Schlangen – … on Natural Language Processing  …, 2017 – pub.uni-bielefeld.de
Page 1. 1 000 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 …

Human-Robot Collaboration: From Psychology to Social Robotics
J Bütepage, D Kragic – arXiv preprint arXiv:1705.10146, 2017 – arxiv.org
… However, the majority of state-of-the-art studies in physical human-robot interaction as- sumes an instruction or cooperation approach … On the one hand, we have language-based agents such as dialog systems rooted in the natural language processing community …

Interactive Learning of Verb Semantics towards Human-Robot Communication
L She – 2017 – search.proquest.com
… 29. 4.2.1 Natural Language Processing … investigated extensively from human-human communication [42, 46], to computational models for. spoken dialogue systems [47], and more recently to human-robot interaction [48, 49, 50, 51, 52] …

A Voice and Pointing Gesture Interaction System for Supporting Human Spontaneous Decisions in Autonomous Cars
P Sauras-Perez – 2017 – search.proquest.com
… studies outside the automotive or robotics field [98]-[100], and demonstrates the. importance of designing proper feedback dialog systems to provide a natural humanmachine. interaction experience … dialog systems have to be designed in a way that the cognitive load of the driver …

Oxford Handbooks Online
R Fernández – staff.fnwi.uva.nl
… The results of this research have an important role to play in computational linguistics and language technology as they provide the basis for the development of systems for the automatic processing of conversational data and of dialogue systems for human–computer …

Shaping the Experience of a Cognitive Investment Adviser
H Candello, C Pinhanez, D Millen… – … Conference of Design …, 2017 – Springer
… Many technological advances in the early 2010s in natural language processing (spearheaded by the IBM … It was the first-time participants have contact with a multiparty dialogue system … of the 4th ACM/IEEE International Conference on Human Robot Interaction, HRI 2009, pp …

DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self
C Moulin-Frier, T Fischer, M Petit… – … on Cognitive and …, 2017 – ieeexplore.ieee.org
… study is presented which suggests that a robot’s narrative allows humans to get an insight into long term human-robot interaction from the … to our framework, it is based on the implementation and cooperation between both episodic and semantic memories with a dialog system …

Computational Study of Primitive Emotional Contagion in Dyadic Interactions
I HUPONT, C Clavel… – IEEE Transactions on …, 2017 – ieeexplore.ieee.org
Page 1. 1949-3045 (c) 2017 IEEE. Personal use is permitted, but republication/ redistribution requires IEEE permission. See http://www.ieee.org/ publications_standards/publications/rights/index.html for more information. This …

The Influence of Politeness Behavior on User Compliance with Social Robots in a Healthcare Service Setting
N Lee, J Kim, E Kim, O Kwon – International Journal of Social Robotics, 2017 – Springer
… These principles have been adopted by researchers of human–robot interaction. According to these principles, experimenters have generated numerous ideas … This study contributes to the research on natural language processing and gestures of human-like robots …

An interactive interface for nursing robots.
A Sahu – 2017 – ir.library.louisville.edu
… August 4, 2017 Physical Human-Robot Interaction (pHRI) is inevitable for a human user while … The communication between a human being and machine has been made possible by using natural language processing algorithms used in artificially intelligent chatbots …

SingularityNET: A decentralized, open market and inter-network for AIs
B Goertzel, S Giacomelli, D Hanson, C Pennachin… – 2017 – icotokn.com
… An Agent Y might then pay an Agent W to do some specialized natural language processing tasks on Alice’s text (such as … and narrative and visual arts [Han07], this will provide an unprecedented level of adaptive, emotionally and cognitively intelligent human-robot interaction …

Cognitive Computing: Where Big Data Is Driving Us
AP Appel, H Candello, FL Gandour – Handbook of Big Data Technologies, 2017 – Springer
… To do so, Cognitive Computing foundation will put to work in a collaborative fashion elements of NLP (Natural Language Processing), UIMA and data. An immense amount of data easily available in each semantic field. Of course …

Modelling Engagement in Multi-Party Conversations
C Oertel – KTH, Stockholm, Sweden, 2017 – pdfs.semanticscholar.org
… Skantze, G., Oertel, C., & Hjalmarsson, A. (2014). User feedback in human-robot dialogue: Task progression and uncertainty. Paper presented at the HRI Workshop on Timing in Human-Robot Interaction, Bielefeld, Germany … A Spoken Dialog System for Learners of English …

Criticality of Components in Service-Oriented Distributed Systems
DG Design – 2017 – dai-labor.de
… Social Cobots: Anticipatory Decision-Making for Collaborative Robots Incorporating Unexpected Human Behaviors Orhan Can Görür, Benjamin Rosman, Fikret Sivrikaya, Sahin Albayrak In: ACM/IEEE International Conference on Human Robot Interaction; 2018 …

Entertainment, Culture, and Media Art 30
R Nakatsu, N Tosa, M Rauterberg, W Xuan – Handbook of Digital Games …, 2017 – Springer
… 8). Fig. 5 Scale model of the Cave (a–c) and the virtual room (d) 30 Entertainment, Culture, and Media Art 741 Page 752. Microphones recorded the utterances of the visitor, and a simple dialogue system manages the conversation …

The Emotional Impact of Audio-Visual Stimuli
TP Thomas – 2017 – search.proquest.com
… xiv. NLP. Natural Language Processing. S2VT. Sequence to sequence – Video to Text. SVM … eventually leading to its more widespread adoption in various problem spaces in computer. vision and Natural Language Processing (NLP). Figure 17 shows an LSTM cell …

Social robots powered by IBM Watson as a support for children with health problems
I Kabir, K Kindvall – 2017 – diva-portal.org
… An initial prototype that used Watson’s natural language processing and Pepper, was developed based on user requirements gathered through interviews using a User Centered Design … 7 2.6 Evaluation of human robot interaction …

Improving the understanding of spoken referring expressions through syntactic-semantic and contextual-phonetic error-correction
I Zukerman, A Partovi – Computer Speech & Language, 2017 – Elsevier
… system. Abstract. Despite recent advances in automatic speech recognition, one of the main stumbling blocks to the widespread adoption of Spoken Dialogue Systems is the lack of reliability of automatic speech recognizers …

Workshop Program
A ANANDKUMAR, FEI SHA – 2017 – pdfs.semanticscholar.org
… Page 6 of 30 02:00 PM Joelle Pineau: Discriminative and Generative Models for Building Dialogue Systems … Abstract 7: Joelle Pineau: Discriminative and Generative Models for Building Dialogue Systems in Learning to Generate Natural Language, 02:00 PM …

Computational Complexity of some Optimization Problems in Planning
M Aghighi – 2017 – books.google.com
Page 1. Linköping Studies in Science and Technology Dissertation No. 1854 Computational Complexity of some Optimization Problems in Planning Meysam Aghighi Page 2. FACULTY OF SCIENCE AND ENGINEERING Linköping …

Dynamic ontology for service robots
S Kanjaruek – 2017 – uobrep.aws.openrepository.com
… “MadeOf”, as well as semantic knowledge, are needed for domestic robots to cope with uncertainties during human–robot interaction. This research has developed a … LRU Least recently used NLP Natural Language Processing NNP Singular proper nouns …

Autonomous Agents Modelling Other Agents: A Comprehensive Survey and Open Problems
SV Albrecht, P Stone – arXiv preprint arXiv:1709.08071, 2017 – arxiv.org
… goals and plans of agents (Schmidt et al., 1978) were applied in automated dialogue systems to understand and disambiguate the … robot soccer (Kitano et al., 1997), human user modelling (Zukerman and Albrecht, 2001; McTear, 1993), human-robot interaction (Lasota et al …

Qualitative and Multi-Attribute Learning from Diverse Data Collections
M Ben-Chen, F Chazal, LJ Guibas… – … in Geometric Data, 2017 – drops.dagstuhl.de
… de/17031 1998 ACM Subject Classification I. 2 Artificial Intelligence, I. 2.9 Robotics Keywords and phrases adjustable autonomy, artificial intelligence, automated planning and scheduling, goal reasoning, human-robot interaction, plan execution, robotics, robust autonomy …

On usability of data and services through mobile multitouch interfaces
S Malatini – 2017 – ora.uniurb.it
Page 1. UNIVERSITÀ DEGLI STUDI DI URBINO CARLO BO Dipartimento di Scienze Pure e Applicate Scuola di Scienze e Tecnologie dell’Informazione Ph.D. thesis ON USABILITY OF DATAAND SERVICES THROUGH MOBILE MULTITOUCH INTERFACES Tutor: Candidate …

Integrating Multiple Modalities into Deep Learning Networks
PN McNeil – 2017 – search.proquest.com
… TF-IDF Term Frequency Inverse Document Frequency a numerical. statistic used with natural language processing intended to reflect the. importance of a word within a document or corpus … known (such as some natural language processing tasks). The final method required …

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