Autonomous Agents, Natural Language & Dialog Systems 2019


Notes:

An autonomous agent is an intelligent agent operating on an owner’s behalf but without any interference of that ownership entity.

  • Artificial agents
  • Intelligent agents

Wikipedia:

References:

See also:

3APL (Artificial Autonomous Agents Programming Language) | A4 (Agile Architecture and Autonomous Agents) | MARIE (Mobile and Autonomous Robotics Integration Environment)


Emotion-Aware and Human-Like Autonomous Agents
N Asghar – 2019 – uwspace.uwaterloo.ca
Emotion-Aware and Human-Like Autonomous Agents by Nabiha Asghar … A prime example is a dialogue system, where the agent should converse fluently and coher- ently with a user and connect with them emotionally … 11 2.4 Deep Learning for Natural Language Processing …

Boundary-Crossing Robots: Societal Impact of Interactions with Socially Capable Autonomous Agents
K Jokinen, K Watanabe – International Conference on Social Robotics, 2019 – Springer
… modelling by [11]: the system’s communicative competence affords natural language interaction and … In: Proceedings of the 12th International Conference on Autonomous Agents and Multiagent … Li, H. (eds.) 9th International Workshop on Spoken Dialogue System Technology …

Detecticon: A Prototype Inquiry Dialog System
T Hiraoka, S Motoura, K Sadamasa – … on Spoken Dialogue System …, 2019 – Springer
… Previous research has basically focused on theoretical aspects of inquiry dialog for autonomous agents [1, 4, 5, 7, 8 … Graphical user interface of inquiry dialog system. The natural language interface translates the user’s natural language input into a dialog act including beliefs and …

Strategies for an Autonomous Agent Playing the “Werewolf game” as a Stealth Werewolf
N Shoji, A Jotaro, O Kosuke, S Kotaro… – … and Dialog System  …, 2019 – aclweb.org
Strategies for an Autonomous Agent Playing the “Werewolf game” as a Stealth … System (AIWolfDial 2019), the 12th International Conference on Natural Language Generation (INLG … In 17th International Conference on Autonomous Agents and Multiagent Systems, pages 1838 …

B. Rex: a dialogue agent for book recommendations
M Abrams, L Gessler, M Marge – Proceedings of the 20th Annual SIGdial …, 2019 – aclweb.org
… 2017. Understanding How People Use Natural Language to Ask for Recommendations … International Foundation for Autonomous Agents and Multiagent Systems … 2017. Pydial: A Multi- domain Statistical Dialogue System Toolkit …

Empathic dialogue system based on emotions extracted from tweets
S Tahara, K Ikeda, K Hoashi – … of the 24th International Conference on …, 2019 – dl.acm.org
… In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing … 1047(2016) [2] Bessho, F., Harada, T., and Kuniyoshi, Y. Dialog system using real … In Proceedings of the 2014 international conference on Autonomous agents and multi-agent systems …

A short survey on chatbot technology: failure in raising the state of the art
FS Marcondes, JJ Almeida, P Novais – International Symposium on …, 2019 – Springer
… International Foundation for Autonomous Agents and Multiagent Systems, Richland (2018)Google Scholar. 26 … M., Zhou, J., Li, Z.: Building task-oriented dialogue systems for online … Casati, F., Rodriguez, C.: Programming bots by synthesizing natural language expressions into …

Conversational Narrative Interfaces for Sensemaking
AO Petac – … 18th International Conference on Autonomous Agents …, 2019 – ifaamas.org
… intersection of four important domains: discourse structure, dialogue systems, inferential pragmatics … International Foundation for Autonomous Agents and Multiagent Systems, 773–781 … 3rd International Conference on Cognitive Science in Natural Language Processing (CSNLP …

A Short Survey on Chatbot Technology: Failure in Raising the State of the Art
C ALGORITMI – Distributed Computing and Artificial Intelligence …, 2019 – books.google.com
… International Foundation for Autonomous Agents and Multiagent Systems, Richland (2018) Thakar, B., Parekh, C … Zhou, M., Zhou, J., Li, Z.: Building task-oriented dialogue systems for online … F., Rodriguez, C.: Pro- gramming bots by synthesizing natural language expressions into …

NEMSI: A Multimodal Dialog System for Screening of Neurological or Mental Conditions
D Suendermann-Oeft, A Robinson, A Cornish… – Proceedings of the 19th …, 2019 – dl.acm.org
… CCS CONCEPTS • Human-centered computing ? Natural language interfaces … 4 CONCLUSION We presented NEMSI, a multimodal dialog system for screening of neurological and … In Proceedings of the 2014 international conference on Autonomous agents and multi- agent …

A Systematic Review of Health Dialog Systems
WR Kearns, NC Chi, YK Choi, SY Lin… – … of Information in …, 2019 – thieme-connect.com
… Most typically, these consist of natural language understanding (NLU), dialog management (DM), and natural language generation (NLG). We briefly cover each of these components in the following subsections. For a methodological review of health dialog systems, we direct …

A grounded interaction protocol for explainable artificial intelligence
P Madumal, T Miller, L Sonenberg, F Vetere – arXiv preprint arXiv …, 2019 – arxiv.org
… Most modern work on Explainable AI, such as in autonomous agents [5, 7, 15, 36] and interpretable … Walton and Bex [34] introduce a dialogue system for argumentation and explanation that consists of a communication … [10], meaning that the natural language generation of the …

Debbie, the debate bot of the future
G Rakshit, KK Bowden, L Reed, A Misra… – … Social Interaction with …, 2019 – Springer
… In: Proceedings of the first international conference on autonomous agents … Y (2014) Towards an open-domain conversational system fully based on natural language processing … J (2016) ZIB structure prediction pipeline: how NOT to evaluate your dialogue system: an empirical …

Discourse Behavior of Older Adults Interacting With a Dialogue Agent Competent in Multiple Topics
SZ Razavi, LK Schubert, KA Van Orden… – arXiv preprint arXiv …, 2019 – arxiv.org
… Spoken dialogue systems have proved beneficial for helping older people with their needs … of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP … In Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent …

An end-to-end conversational style matching agent
R Hoegen, D Aneja, D McDuff… – Proceedings of the 19th …, 2019 – dl.acm.org
… 1 INTRODUCTION Personal assistants (eg, Alexa, Siri, Cortana, and Google Now) and “bots” interacting in natural language (eg, Messenger, Skype, and Sina Weibo), have created new platforms for human … Advances in natural multimodal dialogue systems 30 (2005), 23–54 …

of deliverable D5. 3: Methods and tools for moving from dialogue game to updating
M Snaith, A Pease, T Beinema – 2019 – council-of-coaches.eu
… might expect to need for the rapid development of a new dialogue system for a … In Section 5.2 we provide natural language descriptions of the key components of the game … Proceedings of the Eigth International Conference of Autonomous Agents and Multi-Agent Systems (pp …

Do Smart Speakers Respond to Their Errors Properly? A Study on Human-Computer Dialogue Strategy
X Ge, D Li, D Guan, S Xu, Y Sun, M Zhou – International Conference on …, 2019 – Springer
… Although speech recognition, natural language processing (NLP) have been greatly improved over the past few years, users still may encounter errors from time to time like “cannot understand”, “no requested audio resource (such as music)”, which can frustrate users …

Give MEANinGS to Robots with Kitchen Clash: A VR Human Computation Serious Game for World Knowledge Accumulation
J Pfau, R Porzel, M Pomarlan, VS Cangalovic… – … Computing and Serious …, 2019 – Springer
… Learning from natural language instructions is a desirable opportunity for robots, but ends up in … Nielsen, RD, et al.: A platform for human-robot dialog systems research … In: International Foundation for Autonomous Agents and Multiagent Systems, Proceedings of the 16th …

How the context of dialogue of an argument influences its evaluation
D Walton – Windsor Studies in Argumentation, 2019 – windsor.scholarsportal.info
… in this area and the motivations for applying formal models of dialogue to study examples and char- acteristics of natural language arguments … For example, rule 8a of the formal dialogue system PPD (Walton and Krabbe, 1995, 136) says, “If one party challenges some assertion …

Transcription Guidelines for the Army Research Laboratory (ARL) SCOUT Human?Robot Dialogue Corpus
C Bonial, C Henry, R Artstein, M Marge – apps.dtic.mil
… 2016) to be used onboard a remotely located, autonomous agent collaborating with humans in … sends information back to the participant in the form of natural-language dialogue and … In: Proceedings of the 2014 International Conference on Autonomous Agents and Multi-Agent …

Smart-bot Technology: Conversational Agents Role in Maternal Healthcare Support
K Mugoye, H Okoyo, S Mcoyowo – 2019 IST-Africa Week …, 2019 – ieeexplore.ieee.org
… External API uses Natural Language Processing (NLP), where sentences are parsed … to Distributed Artificial Intelligence Intelligent Robotics and Autonomous Agents, Cambridge, Massachusetts … and O. Pietquin, “Machine Learning for Spoken Dialogue Systems,” in Proceedings …

Two Discourse Tree-Based Approaches to Indexing Answers
B Galitsky, D Ilvovsky – … on Recent Advances in Natural Language …, 2019 – aclweb.org
Proceedings of Recent Advances in Natural Language Processing, pages 367–372, Varna, Bulgaria, Sep … In some cases, autonomous agents (chatbots) can import such question-answer pairs in … Moreover, an autonomous agent at- tempting to answer a user question based on …

Ontology Based Test Case Generation for Black Box Testing
S Ul Haq, U Qamar – Proceedings of the 2019 8th International …, 2019 – dl.acm.org
… The selected test cases may be written using natural language (ie English) or … Framework incorporates dialogue system to select relevant testing information form existing ontologies … In Proceedings of the 7th international joint conference on Autonomous agents and multiagent …

“I think it might help if we multiply, and not add”: Detecting Indirectness in Conversation
P Goel, Y Matsuyama, M Madaio, J Cassell – … on Spoken Dialogue System …, 2019 – Springer
… in interpersonal communication, incorporating its detection in spoken dialogue systems may ultimately … In: Proceedings of the fourteenth conference on computational natural language learning—shared … of the 11th international conference on autonomous agents and multiagent …

Designing an emotionally realistic chatbot framework to enhance its believability with AIML and information states
R Sutoyo, A Chowanda, A Kurniati… – Procedia Computer …, 2019 – Elsevier
… International Foundation for Autonomous Agents and Multiagent Systems; 2016, p. 1343–1344 … of the ACL-02 conference on Empirical methods in natural language processing-Volume 10 … dialogue corpus: A large dataset for research in unstructured multi-turn dialogue systems …

On the role of knowledge graphs in explainable AI
F Lecue – Semantic Web, 2019 – content.iospress.com
… in: Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent … Aálarge dataset for research in unstructured multi-turn dialogue systems, in: Proceedings … TMáHoward, Inferring compact representations for efficient natural language understanding of …

FANTASIA: a framework for advanced natural tools and applications in social, interactive approaches
A Origlia, F Cutugno, A Rodà, P Cosi… – Multimedia Tools and …, 2019 – Springer
… management. These frameworks, however, mainly concentrate on natural language understanding (NLU) and generation (NLG) and do not provide any specific integration with UI frameworks or knowledge representation approaches …

Constructing human-robot interaction with standard cognitive architecture.
K Jokinen – AIC, 2019 – ceur-ws.org
… the use of natural language takes the interaction to a qualitatively different level and supports the robot’s autonomous agent-like behaviour … It is chosen because of its focus on natural language dialogues and because of its links to cognitive aspects of … Spoken Dialogue Systems …

Show me how to win: a robot that uses dialog management to learn from demonstrations
M Zare, A Ayub, AR Wagner… – Proceedings of the 14th …, 2019 – dl.acm.org
… Deep reinforcement learning has re- cently been used to train autonomous agents to play a variety of Atari and other games [6]. Although the agent does learn how to play the game with considerable accuracy, the … We also produce a natural language response using a template …

Teaching Commonsense and Dynamic Knowledge to Service Robots
S Opfer, S Jakob, K Geihs – International Conference on Social Robotics, 2019 – Springer
… In dialogue systems these capabilities, if present at all, are implemented by submodules of … is denoted as a concept, which is a combination of a natural language term, a … In: Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems AAMAS …

CasandRA: A Screenplay Approach to Dictate the Behavior of Virtual Humans in AmI Environments
M Antona – HCI International 2019–Late Breaking Posters: 21st …, 2019 – books.google.com
… of multimodal dialogue systems, which extend common speech dialogue systems with additional … International Foundation for Autonomous Agents and Multiagent Systems (2014) Aylett, R … A., Antona, M.: Programming intelligent environments in natural language: an extensible …

Council of Coaches
B Bedsted, A Pease, C Pelachaud, VT Salcedo… – 2019 – research.utwente.nl
… Our new concept of virtual coaching involves multi- ple autonomous agents that are able to … discussion about a personal issue without bearing on real-time natural language understanding … Conversation — Advancing the state of the art in multi-party dialogue systems by creating …

Analyzing How a Talk Show Host Performs Follow-Up Questions for Developing an Interview Agent
H Narimatsu, R Higashinaka, H Sugiyama, M Mizukami… – workshop.colips.org
… of the 2014 international confer- ence on Autonomous agents and multi-agent systems, pages 1061–1068, 2014 … Towards an open-domain conversational system fully based on natural language processing … Spoken dialogue system for a human-like conversational robot erica …

Paving the way towards counterfactual generation in argumentative conversational agents
I Stepin, A Catalá, M Pereira-Fariña… – … Natural Language …, 2019 – aclweb.org
… conversational agents merges with those coming directly from the field of natural language generation (NLG … NLG evaluation are found in the literature on con- versational agents and dialogue systems, novel metrics … Autonomous Agents and Multi-Agent Systems, 16(2):187–209 …

CasandRA: A Screenplay Approach to Dictate the Behavior of Virtual Humans in AmI Environments
E Stefanidi, A Leonidis, N Partarakis… – … Conference on Human …, 2019 – Springer
… the help of multimodal dialogue systems, which extend common speech dialogue systems with additional … level” abstractions of the behavior of the VHs in natural language, the Agent … In: Proceedings of the 2014 International Conference on Autonomous Agents and Multi-Agent …

A conversational dialogue manager for the humanoid robot ERICA
P Milhorat, D Lala, K Inoue, T Zhao, M Ishida… – … Social Interaction with …, 2019 – Springer
… In: International conference on autonomous agents and multi-agent systems, vol 1, pp 1061 … In: International joint conference on natural language processing, pp 418–425Google Scholar … M, Aikawa K (2003) Corpus-based discourse understanding in spoken dialogue systems …

Towards a Natural Language-based Dialog Model as an Assistant Tool for Dementia Therapy
MJ Somodevilla… – Research in Computing …, 2019 – polibits.cidetec.ipn.mx
… 197 Towards a Natural Language-based Dialog Model as an Assistant Tool for Dementia Therapy … [3] designed a semi-autonomous agent, called Eva … and production is coparatively well-preserved in people with mild to moderate AD, proposals using dialog systems or voice …

Humor intelligence for virtual agents
AI Niculescu, RE Banchs – … Workshop on Spoken Dialogue System …, 2019 – Springer
… 3.2 Multimodal Dialogue System … To deliver the answer to the user, a natural language generation (NLG) module is being used … In: Proceedings of 8th international conference on autonomous agents and multi agent systems (AAMAS), pp 1171–1172Google Scholar. 7 …

Human-inspired socially-aware interfaces
D Schiller, K Weitz, K Janowski, E André – International Conference on …, 2019 – Springer
… Various attempts have been made to implement empathic behaviors in computer-based dialogue systems … In: Wilks, Y. (ed.) Natural Language Processing, vol … In: 9th International Conference on Autonomous Agents and Multiagent Systems, (AAMAS), Toronto, Canada, vol …

A model of social explanations for a conversational movie recommendation system
F Pecune, S Murali, V Tsai, Y Matsuyama… – Proceedings of the 7th …, 2019 – dl.acm.org
… CCS CONCEPTS • Human-centered computing ? Natural language interfaces … Natural Language Understanding. The first component triggered is the natural language understanding (NLU) module, which ex- tracts intentions and entities from users’ utterances …

A taxonomy of social cues for conversational agents
J Feine, U Gnewuch, S Morana, A Maedche – International Journal of …, 2019 – Elsevier

Learning Dialogue Strategies for Interview Dialogue Systems that Can Engage in Small Talk
T Nakamura, T Kobori, M Nakano – … Workshop on Spoken Dialogue System …, 2019 – Springer
… In: International conference on autonomous agents and multi-agent systems, pp 1061–1068Google … Y (2014) Towards an open-domain conversational system fully based on natural language processing … A, Vickers L, Yan H, Zhang C (2013) Spoken dialog systems for …

Multi-Task Learning of System Dialogue Act Selection for Supervised Pretraining of Goal-Oriented Dialogue Policies
S McLeod, I Kruijff-Korbayová, B Kiefer – Proceedings of the 20th Annual …, 2019 – aclweb.org
… Rich Caruana. 1998. Multitask learning. Autonomous Agents and Multi-Agent Systems, 27(1):95133 … 2017. End-to-end task- completion neural dialogue systems. In Proceed- ings of the The 8th International Joint Conference on Natural Language Processing, pages 733–743 …

Developing a virtual reality wildfire simulation to analyze human communication and interaction with a robotic swarm during emergencies
P Chaffey, R Artstein, K Georgila… – Proceedings of the …, 2019 – www-scf.usc.edu
… of drones, the drones themselves are not envisioned as hav- ing natural language processing capabilities … ScoutBot: A dialogue system for collaborative navigation … In Proceed- ings of AAMAS 2003: Second International Joint Con- ference on Autonomous Agents and Multi-Agent …

Demonstrating the distinctions between persuasion and deliberation dialogues
Y Kirchev, K Atkinson, T Bench-Capon – International Conference on …, 2019 – Springer
… in this way can be realised in software to support focussed communication between autonomous agents … initially follows [1] by using the speech acts set out in Prakken’s dialogue system [9]. These … instead of their scripts, as the protocols do not use a natural language engine to …

Extracting dialogical explanations for review aggregations with argumentative dialogical agents
O Cocarascu, A Rago, F Toni – 2019 – spiral.imperial.ac.uk
… 2019 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved … We mine RAs from snippets using Natural Language Processing (NLP) methods, namely Argument Mining and Sentiment Analysis …

Dialectical models of deliberation, problem solving and decision making
D Walton, A Toniolo, TJ Norman – Argumentation, 2019 – Springer
… frameworks in computer science. But making such models of deliberation applicable to real natural language examples has reached a point where the descriptive aspect needs more interdisciplinary work. The new formal and …

Social Emotions for Social Robots-Studies on Affective Impressions in Human-Human and Human-Robot Interactions
K Jokinen – International Conference on Social Robotics, 2019 – Springer
… installed with software that allowed the user to conduct natural language dialogues with … In: The 12th International Conference on Autonomous Agents and Multiagent Systems, AAMAS (2013 … RE, Li, H. (eds.) 9th International Workshop on Spoken Dialogue System Technology …

Merging Representation and Management of Physical and Spoken Action
C Threlkeld, M Scheutz – pdfs.semanticscholar.org
… In fact, this is the foundation of some dialogue systems, especially with queries and … Our system can check for understanding throughout the natural language understanding pipeline … International Founda- tion for Autonomous Agents and Multiagent Systems, Richland, SC, 1378 …

Towards Ethical Machines Via Logic Programming
A Dyoub, S Costantini, FA Lisi – arXiv preprint arXiv:1909.08255, 2019 – arxiv.org
… several attempts for implementing ethical decision making into intelligent autonomous agents using different … can sim- ulate a conversation with a user in natural language via auditory … They are typically used in dialogue systems for various practical purposes including customer …

Latent character model for engagement recognition based on multimodal behaviors
K Inoue, D Lala, K Takanashi, T Kawahara – … on Spoken Dialogue System …, 2019 – Springer
… Horvitz E (2009) Learning to predict engagement with a spoken dialog system in open … In: Proceedings of the autonomous agents and multi-agent systems, pp 1061–1068Google … 2014) Towards an open-domain conversational system fully based on natural language processing …

M-path: a conversational system for the empathic virtual agent
ÖN Yalç?n, S DiPaola – Biologically Inspired Cognitive Architectures …, 2019 – Springer
… The Natural Language Generation (NLG) component handles the realization of the intended response … In this work, we proposed and implemented a dialogue system to equip empathic … In: Proceedings of the 2014 international conference on autonomous agents and multi-agent …

Towards XAI: Structuring the Processes of Explanations
M El-Assady, W Jentner, R Kehlbeck, U Schlegel… – researchgate.net
… by interacting with visualization and stating questions in natural language in order to … Illustrated Text Comics Videos Audios Images Video Games Dialog Systems Explanation Strategies … In Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent …

Can you say more about the location? The Development of a Pedagogical Reference Resolution Agent
M Paetzel, R Manuvinakurike – arXiv preprint arXiv:1909.00945, 2019 – arxiv.org
… Thus, it seems that people found the interaction to be quite nat- ural despite their believe they were talking to an autonomous agent … In Natural Language Dialog Systems and Intelligent Assistants, pages 189–201. Springer …

Give MEANinGS to Robots with Kitchen Clash: A VR Human Computation Serious Game for World Knowledge Accumulation
S Grudpan, S Höffner, J Bateman… – … Computing and Serious …, 2019 – books.google.com
… 7 Conclusion Learning from natural language instructions is a desirable opportunity for robots, but ends … Nielsen, RD, et al.: A platform for human-robot dialog systems research … In: International Foundation for Autonomous Agents and Multiagent Systems, Proceedings of the 16th …

CognitiveEMS: a cognitive assistant system for emergency medical services
S Preum, S Shu, M Hotaki, R Williams, J Stankovic… – ACM SIGBED …, 2019 – dl.acm.org
… KEYWORDS Cognitive assistant system, Medical emergency, Speech recognition, Natural language processing, EMS … Another research [17] ana- lyzes several automatic speech recognizers (ASRs) in terms of their suitability for use in different dialogue systems …

Conversational Interfaces for Explainable AI: A Human-Centred Approach
SF Jentzsch, S Höhn, N Hochgeschwender – … Autonomous Agents and …, 2019 – Springer
… agent interaction problem [20] and therefore rather a dialogue, where two autonomous agents – an artificial … as written text is directly computational processible, in contrast to eg spoken natural language, where an … Inferring implications for an implementation in a dialogue system …

Adaptive instructional systems: The evolution of hybrid cognitive tools and tutoring systems
JA DeFalco, AM Sinatra – International Conference on Human-Computer …, 2019 – Springer
… Natural language processing capabilities can now facilitate and support human/computer dialogue to provide … is use for a virtual tutor by way of tutorial dialogue systems that interact … In: Proceedings of the 2014 International Conference on Autonomous Agents and Multi-agent …

Comfort or safety? Gathering and using the concerns of a participant for better persuasion
E Hadoux, A Hunter – Argument & Computation, 2019 – content.iospress.com
… make. For instance, the persuadee might be restricted to only making arguments by selecting them from a menu in order to obviate the need for natural language processing of arguments being entered (as illustrated in Fig. 1 …

Exploring Interaction with Remote Autonomous Systems using Conversational Agents
DA Robb, J Lopes, S Padilla, A Laskov… – Proceedings of the …, 2019 – dl.acm.org
… Natural language provides a fluid and reassuring mode of interaction with complex multi-million dollar remote systems … TRIPS is a combination between a CA (also known as dialog system) and “Specialized Reasoners” that can solve problems such as planning actions …

Adding communicative and affective strategies to an embodied conversational agent to enhance second language learners’ willingness to communicate
E Ayedoun, Y Hayashi, K Seta – International Journal of Artificial …, 2019 – Springer
… 33 Page 6. Spoken Dialogue Systems Spoken dialogue systems are defined as computer systems with which humans interact on a turn-by-turn basis, and with which spoken natural language plays an important role in communication (Fraser 1997) …

Designing for health chatbots
A Fadhil, G Schiavo – arXiv preprint arXiv:1902.09022, 2019 – arxiv.org
… users, as in health dialogue systems with conversational agent for older adults (Bickmore 2006, Bickmore 2005, Bickmore 2008, Bickmore 2009). Most chatbots use either text or speech to communicate with users. Adding graphical widgets with natural language could enhance …

Modelling Negotiation Strategies
M Koit – 2019 IEEE International Symposium on INnovations in …, 2019 – ieeexplore.ieee.org
… of the International Conference on Autonomous Agents and Multi-agent Systems AAMAS’14, pp … From the Analysis of a Dialogue Corpus to a Dialogue System”, Proc … and G. Veldhuijzen van Zanten (Eds), TWLT11 Dialogue Management in Natural Language Systems, Enschede …

What Should I Ask? Using Conversationally Informative Rewards for Goal-Oriented Visual Dialog
P Shukla, C Elmadjian, R Sharan, V Kulkarni… – arXiv preprint arXiv …, 2019 – arxiv.org
… Building natural language models that are able to converse towards a specific goal is an active area of … This is different from a nor- mal dialogue system where there is no constraint on the length of a … tions asked by humans and an autonomous agent proposed by Strub et al …

Nonverbal Behavior in
A Cafaro, C Pelachaud… – The Handbook of …, 2019 – books.google.com
… and Mo-cap data (and possibly reusing it on different autonomous agents) while still … coverage of subareas in- cluding speech recognition, audio-visual sensing, natural language processing, dia … Flipper is a library for specifying dialogue rules for dialogue systems, that uses XML …

Trust and Decision Making in Turing’s Imitation Game
H Shah, K Warwick – Advanced Methodologies and Technologies in …, 2019 – igi-global.com
… Turing derived his natural language test for a machine from a chess game that he first introduced in his 1947 … Comparison of Eliza with Modern Dialogue Systems … Autonomous Agents and Human Interpersonal Trust: Can We Engineer a Human-Machine Social Interface for Trust …

Dialogue Structure Annotation Guidelines for Army Research Laboratory (ARL) Human-Robot Dialogue Corpus
C Bonial, D Traum, T Henry, SM Lukin, M Marge… – 2019 – apps.dtic.mil
… 2. Understanding the Domain and Preparing the Corpus We aim to support natural language understanding within the broader context of ongoing research to develop a spoken dialogue system (Marge et al. 2016) that will run …

A mixed methods analysis of the adoption and diffusion of chatbot technology in the German insurance sector
D Rodríguez Cardona, O Werth, S Schönborn… – 2019 – aisel.aisnet.org
… would rely to a large extent upon the ability of the dialog systems to digitalize … by imitating the linguistic communication in human- agent interactions through natural language processing (NLP) … “Artificial Life Meets Entertainment: Lifelike Autonomous Agents.” Communications of …

Effect of Chatbot Systems on Student’s Learning Outcomes
S Abbasi, H Kazi, NN Hussaini – researchgate.net
… of problems gives birth to the needs of the natural language dialog systems in which … Hall, and S. Bull, “Bringing chatbots into education: Towards natural language negotiation of … in Proceedings of the second international joint conference on Autonomous agents and multiagent …

Dempster-shafer theoretic resolution of referential ambiguity
T Williams, F Yazdani, P Suresh, M Scheutz… – Autonomous …, 2019 – Springer
… Keywords. Human–Robot interaction Human–robot dialogue Natural language pragmatics Dempster-Shafer theory Alpine search and rescue … In this section, we first discuss previous work on natural language generation in general, and clarification request generation …

Anthropomorphic Virtual Assistant to Support Self-care of Type 2 Diabetes in Older People: A Perspective on the Role of Artificial Intelligence.
G Magyar, J Balsa, AP Cláudio, MB Carmo… – VISIGRAPP (1 …, 2019 – scitepress.org
… cial skills training that reads facial expressions and uses natural language processing techniques … CL (2011) ‘A reusable framework for health counseling dialogue systems based on a … for Healthcare Decision Support’, in International conference on Autonomous Agents and Multi …

Online processing for speech-driven gesture motion generation in android robots
CT Ishi, R Mikata, T Minato… – 2019 IEEE-RAS 19th …, 2019 – ieeexplore.ieee.org
Abstract— Hand gestures commonly occur in daily dialogue interactions, and have important functions in communication. In this study, we proposed and implemented an online processing for a speech-driven gesture motion generation in an android robot dialogue system …

An affect-rich neural conversational model with biased attention and weighted cross-entropy loss
P Zhong, D Wang, C Miao – Proceedings of the AAAI Conference on …, 2019 – aaai.org
… degradation in lan- guage fluency. One note is that the out-domain test perplex- ity for all models is quite large as compared to in-domain perplexity, as well as other dialog systems, eg, (Vinyals and Le 2015). One possible reason is …

First Impressions Count! The Role of the Human’s Emotional State on Rapport Established with an Empathic versus Neutral Virtual Therapist
H Ranjbartabar, D Richards, A Bilgin… – IEEE Transactions on …, 2019 – ieeexplore.ieee.org
Page 1. 1949-3045 (c) 2018 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 …

A coordination framework for multi-agent persuasion and adviser systems
B Subagdja, AH Tan, Y Kang – Expert Systems With Applications, 2019 – Elsevier
… The natural language processing used in the model can derive some contextual information to detect the addresse(s) of a utterance when … Unlike dialog systems that purely involve virtual agents, real-world aspects in the environment must be taken into account when robots and …

An Investigation on the Effectiveness of Multimodal Fusion and Temporal Feature Extraction in Reactive and Spontaneous Behavior Generative RNN Models for …
HH Huang, M Fukuda, T Nishida – … of the 7th International Conference on …, 2019 – dl.acm.org
… SAL is a multimodal dialogue system with the social interaction skills needed for a sustained conversation with the user. They focused on realizing “really natural language pro- cessing [5] ” which aims to allow users to talk with machines as they would talk with other people …

Nonverbal behavior in multimodal performances
A Cafaro, C Pelachaud, SC Marsella – The Handbook of Multimodal …, 2019 – dl.acm.org
… 2010, Ennis and O’Sullivan 2012]. This approach aims at minimizing the amount of audio and Mo-cap data (and possibly reusing it on different autonomous agents) while still producing plausible and varying group conversing behavior in simulated crowds …

SMT-Based Encoding of Argumentation Dialogue Games
M Kacprzak, A Sawicka, A Zbrzezny – International Conference on Artificial …, 2019 – Springer
… is to propose a model checking algorithm for verification of communication between autonomous agents interacting using … in which the content of the locution can be a natural language expression … Due to the complexity and multifaceted nature of such dialogue systems and their …

PRIMER: An Emotionally Aware Virtual Agent.
C Gordon, A Leuski, G Benn, E Klassen, E Fast… – IUI …, 2019 – research.ibm.com
… Interfaces and Presentation (eg HCI) ? Mis- cellaneous; • Multimedia Information Systems ? Artificial, aug- mented, and virtual realities; • Natural Language Processing ? Discourse. KEYWORDS Virtual Reality, Virtual Agents, Spoken Dialogue Systems, Mixed- Initiative …

A Human-in-the-Loop Method for Developing Machine Learning Applications
L Yang, M Li, J Ren, C Zuo, J Ma… – 2019 6th International …, 2019 – ieeexplore.ieee.org
… and entity extrac- tion, is a subtask of Natural Language Processing (NLP … NLP tasks, relation extraction, event extraction, knowledge graph, machine translation and dialogue system … in Proceedings of the 11th International Conference on Autonomous Agents and Multiagent …

Virtual human standardized patients for clinical training
T Talbot – Virtual Reality for Psychological and Neurocognitive …, 2019 – Springer
… For example, the natural language section is divided into three components: a part to understand the language, a part to manage the dialog and a part to generate the output … Due to strengths of their dialogue system AI, VSPs excel at interview and counseling skills applications …

Exploring improvisational approaches to social knowledge acquisition
D Feng, E Carstensdottir, MS El-Nasr, S Marsella – 2019 – eprints.gla.ac.uk
… In: 18th International Conference on Autonomous Agents and MultiAgent Systems, Montreal, QC, Canada, 13-17 May 2019, pp. 1060-1068 … International Foundation for Autonomous Agents and Multiagent Systems 2019. This is the author’s version of the work …

Planning for goal-oriented dialogue systems
C Muise, T Chakraborti, S Agarwal, O Bajgar… – arXiv preprint arXiv …, 2019 – arxiv.org
… 3.2 Dialogue Systems & Natural Language Understanding (NLU) … We assume the same natural language understanding model largely because it is a convenient assumption as then the resulting system can inter-operate easily with existing dialogue systems …

Designing interactions with intention-aware gaze-enabled artificial agents
J Newn, R Singh, F Allison, P Madumal… – IFIP Conference on …, 2019 – Springer
… similar approach has been used in the context of machine learning to ‘bootstrap’ a Reinforcement-Learning-based dialogue system on human … We augmented the application to select a response from a range of automated natural language responses in reply to every …

Cut & recombine: reuse of robot action components based on simple language instructions
MJ Aein, A Haidu, D Chrysostomou, B Ridge… – … , 2019, Vol. 38, iss. 10-11, 2019 – vdu.lt
Page 1. Article The International Journal of Robotics Research 2019, Vol. 38(10-11) 1179–1207 © The Author(s) 2019 Article reuse guidelines: sagepub.com/journals- permissions DOI: 10.1177/0278364919865594 journals.sagepub.com/home/ijr …

FRAMING RISK, THE NEW PHENOMENON OF DATA SURVEILLANCE AND DATA MONETISATION; FROM AN ‘ALWAYS-ON’CULTURE TO ‘ALWAYS-ON’ …
M CUNNEEN, M MULLINS – Hybrid Worlds – researchgate.net
… We argue that the current status quo for dialogue systems in autonomous agents can (1) cause robots to unintentionally miscommunicate their ethical intentions, and (2) weaken humans’ contextual application of moral norms. Keywords: natural language generation, moral …

Participatory Design of Historytelling Voice Assistance with Older Adults
T Volkmann, M Sengpiel, R Karam… – … Conference on Information …, 2019 – Springer
… Natural language understanding and generation were implemented using RiveScript [28], a scripting language developed … Basic system model of the dialogue system; based on [17 … In: The First International Joint Conference on Autonomous Agents & Multi-Agent Systems (2002 …

Reinforcement learning for personalized dialogue management
F Den Hengst, M Hoogendoorn… – IEEE/WIC/ACM …, 2019 – dl.acm.org
… through ob- servations. In dialogue systems, the source of uncertainty about the true state stems from errors in Automatic Speech Recognition (ASR) and Natural Language Understanding (NLU) modules. The POMDP is defined …

Physical Robot Swarm Testbed at ARL: Specifications and Experimental Design Possibilities
J Humann, KA Pollard, SG Hill, OA Ayorinde, AN Foots… – 2019 – apps.dtic.mil
… We define a swarm as a group of fully or largely autonomous agents interacting in a collective fashion to perform a task … This project is researching the use of a natural language dialogue interface with a virtual human spokesperson, which acts as an intermediary between the …

Enactivism and Robotic Language Acquisition: A Report from the Frontier
F Förster – Philosophies, 2019 – mdpi.com
… expression. Robotics, in contrast to disembodied natural language processing (NLP) research, has the advantage of involving physical machines that do have access to “something other than symbols”, namely sensorimotor data …

Essential Features and Critical Issues with Educational Chatbots: Toward Personalized Learning via Digital Agents
J Riel – … , Administration, and Technologies. Hershey, PA: IGI …, 2019 – papers.ssrn.com
… Integrating reactive and scripted behaviors in a life-like presentation agent. Autonomous Agents 98, Minneapolis, MN, USA … Bringing chatbots into education: Towards natural language negotiation of open learner models … Comparison of Eliza with modern dialogue systems …

Autonomous Industrial Management via Reinforcement Learning: Self-Learning Agents for Decision-Making–A Review
LAE Leal, M Westerlund, A Chapman – arXiv preprint arXiv:1910.08942, 2019 – arxiv.org
… for its potential to advance and improve applications in gaming, robotics, natural language processing (including … that a lot of work on modelling and creation of autonomous agents has been … in each area, therefore a low level description of an autonomous agent for industrial …

Semantically aligned sentence-level embeddings for agent autonomy and natural language understanding
NE Fulda – 2019 – scholarsarchive.byu.edu
… Overview This dissertation is all about natural language understanding. As humans, we com … can be found directly within linguistic embeddings, and that this knowledge can be extracted and utilized for real-world applications like robot navigation and dialog systems. We further …

A dynamic speaker model for conversational interactions
H Cheng, H Fang, M Ostendorf – Proceedings of the 2019 Conference of …, 2019 – aclweb.org
… The learned neural representation of speakers is shown to be useful for content ranking in a socialbot and dialog act prediction in human-human conversations.1 1 Introduction Representing language in context is key to improv- ing natural language processing (NLP) …

An Improved Approach of Intention Discovery with Machine Learning for POMDP-based Dialogue Management
RR Raval – 2019 – scholar.uwindsor.ca
… NLU: Natural Language Understanding NN: Neural Network(s) POMDP: Partially Observable Markov Decision Process RE: Requirements Elicitation RL: Reinforcement Learning SDS: Spoken Dialogue Systems SLP: Structured Language Processing SOTA: State-Of-The-Art …

Dimensions of Context. Classifying Approaches to the Context of Communication
J Allwood, E Ahlsén – Filozofia i Nauka, 2019 – journals.pan.pl
… The situations can also occur in constructing a dialog system, especially in trying to … from being merely auxiliary to being augmentative or even a fairly autonomous agent … were made more sophisticated by gradually incorporating more complex features from natural language …

Survey of conversational agents in health
JLZ Montenegro, CA da Costa… – Expert Systems with …, 2019 – Elsevier
… The interactions between humans and robots are gaining importance in assorted fields, such as speech and object recognition, and natural language understanding … Natural language processing (NLP) is one of the primary tools for interactions between humans and agents …

Release strategies and the social impacts of language models
I Solaiman, M Brundage, J Clark, A Askell… – arXiv preprint arXiv …, 2019 – arxiv.org
… different dataset; • Creating task-specific systems (eg sentiment classifiers, speech recognition systems, trans- lation systems, dialogue systems), often with less data and computing power than would be needed to build systems from scratch; …

VICA, a visual counseling agent for emotional distress
Y Sakurai, Y Ikegami, M Sakai, H Fujikawa… – Journal of Ambient …, 2019 – Springer
… of interactions involving the same users shows that modern dialogue systems are a … CRECA’s natural language dialogue processing module consists of (1) an initialization and termination … Proceedings of the 2014 international conference on Autonomous agents and multi-agent …

A dialogue-act taxonomy for a virtual coach designed to improve the life of elderly
C Montenegro, A López Zorrilla, J Mikel Olaso… – Multimodal …, 2019 – mdpi.com
… conversation or other sources. In this work it is included in a spoken dialogue system, so it denotes the task of understanding the natural language of a human in a conversational human-machine interaction. Therefore, the definition of …

Medical and Health
D Sonntag – The Handbook of Multimodal-Multisensor Interfaces …, 2019 – books.google.com
… 11.1 Introduction 427 Glossary Application domains include serious games, conversational agents, or dialogue systems for healthy behavior promotion; intelligent interactive monitoring of patient’s environment and needs; intelligent interfaces supporting access to healthcare …

Data Science and Conversational Interfaces: A New Revolution in Digital Business
D Griol, Z Callejas – Data Science and Digital Business, 2019 – Springer
… How Was Your Day? a Companion ECA. In Proceedings of International Conference on Autonomous Agents and Multiagent Systems (AAMAS’10), Toronto, Canada (pp … Lee, G., Kim, H., Jeong, M., & Kim, J. (2015). Natural language dialog systems and intelligent assistants …

Reinforcement learning for Dialogue Systems optimization with user adaptation.
N Carrara – 2019 – tel.archives-ouvertes.fr
… Reinforcement learning for Dialogue Systems optimization with user adaptation. Nicolas Carrara To cite this version … Spécialité: Informatique Présentée par Nicolas Carrara Reinforcement learning for Dialogue Systems optimization with user adaptation sous la direction du Pr …

A framework for reasoning and dialogue in multi-agent systems using argumentation schemes
AR Panisson – 2019 – tede2.pucrs.br
… mings, generating natural language text, supporting legal reasoning, and facilitating multi-agent … sults from an agent organisation programmed in Moise [65], organising autonomous agents pro … main lines of research: (i) autonomous agent reasoning, such as belief revision and …

Design and implementation of embodied conversational agents
F Geraci – 2019 – rucore.libraries.rutgers.edu
… This pro- cess not only involves understanding natural language utterances and following com … the agent to complement the basic speech input with voice emotion, facial expres- sions recognition, and smarter natural language parsing and generation. Finally, we …

A Dialogue-Act Taxonomy for a Virtual Coach Designed to Improve the Life of Elderly
C Montenegro Portillo, A López Zorrilla… – 2019 – addi.ehu.eus
… conversation or other sources. In this work it is included in a spoken dialogue system, so it denotes the task of understanding the natural language of a human in a conversational human-machine interaction. Therefore, the definition of …

Speech Act Theory as an Evaluation Tool for Human–Agent Communication
N Hanna, D Richards – Algorithms, 2019 – mdpi.com
… For example, Luin, Akker [12] present a natural language accessible navigation agent for a virtual theatre environment where the user can navigate into the environment and the agents inside the system can answer the user’s questions …

Planning for a Corpus of Continuous Ratings of Spoken Dialog Quality
NG Ward – 2019 – scholarworks.utep.edu
… We could make a lot of progress on this if only we had a large quantity of the right kind of data; this would enable dialog systems to advance quickly like other fields of natural language processing. 3 Proposal: Continuous Annotations of Dialog Quality as a Resource for Training …

Exploring perceived emotional intelligence of personality-driven virtual agents in handling user challenges
X Ma, E Yang, P Fung – The World Wide Web Conference, 2019 – dl.acm.org
… virtual agents, emotional intelligence, perceived emotional intelli- gence, personality, emotions, affective computing, dialog system ACM Reference … for our study are conversational 2D- animated software agents that interact with people through speech and natural language …

Miscommunication detection and recovery in situated human–robot dialogue
M Marge, AI Rudnicky – ACM Transactions on Interactive Intelligent …, 2019 – dl.acm.org
… 3 RELATED WORK Much of this research builds on related work on robots that ask for help, symbol grounding for natural language interpretation, dialogue systems that support human–robot interaction (HRI), and error handling in human–computer dialogue …

Towards integration of cognitive models in dialogue management: designing the virtual negotiation coach application
A Malchanau, V Petukhova, H Bunt – Dialogue & Discourse, 2019 – 129.70.43.92
… We evaluated the proposed approach with users assessing the relative contribution of various factors to the overall usability of a dialogue system … Keywords: dialogue management, cognitive agent technology, intelligent tutoring system, spo- ken/multimodal dialogue system …

Data fusion methods in multimodal human computer dialog
Y Ming-Hao, TAO Jian-Hua – Virtual Reality & Intelligent Hardware, 2019 – Elsevier
… The role of human-computer dialogue system has gradually changed from the role … out natural language understanding, reasoning, decision making and natural language generation in … 319-90835-9_73. Google Scholar. 2 Brustoloni JCAutonomous agents: characterization and …

This is the author’s version of a work that was published in the following source
J Feine, U Gnewuch, S Morana, A Maedche – 2019 – researchgate.net
… Despite the large number of different terms used to describe this technology (eg, CA, ECA, chatbot, dialog systems, companions, virtual assistant, digital assistant), all CAs build on the idea of communicating via natural language (Dale, 2016) …

Embodied contextualization: Towards a multistratal ontological treatment
JA Bateman, M Pomarlan, G Kazhoyan – Applied Ontology, 2019 – content.iospress.com
… For concreteness, our discussion below will show this framework in action drawing on examples from the domain of service robotics, where there is growing interest in the use of natural language interactions with robots in order not only to support more flexible interaction …

FeelFit-Design and Evaluation of a Conversational Agent to Enhance Health Awareness.
P Meier, JH Beinke, C Fitte, A Behne, F Teuteberg – ICIS, 2019 – researchgate.net
… design (Luger and Sellen 2016). Especially in the smart home sector, CAs are used to respond to queries (such as weather reports) or commands (eg, lighting control) using natural language. These spoken or written inputs …

Faster and Safer Training by Embedding High-Level Knowledge into Deep Reinforcement Learning
H Zhang, Z Gao, Y Zhou, H Zhang, K Wu… – arXiv preprint arXiv …, 2019 – arxiv.org
… Unlike the human demonstration data, these rules are highly abstract and more easily described in natural language by human experts … [23] Mo, K.; Zhang, Y.; Li, S.; Li, J.; and Yang, Q. 2018. Personalizing a dialogue system with transfer reinforce- ment learning …

Computational Framework for Facilitating Intimate Dyadic Communication
D Utami – 2019 – repository.library.northeastern.edu
… In Chapter 4, I introduced the research platform used throughout the experiments in the dissertation, including the Furhat robot and the IrisTK dialog system. In Chapter 5, I answer the first research question by presenting a study on the acceptance …

Mutual Reinforcement Learning
S Roy, E Kieson, C Abramson, C Crick – arXiv preprint arXiv:1907.06725, 2019 – arxiv.org
… application and effectiveness of a new approach called mutual reinforcement learning (MRL), where both humans and autonomous agents act as reinforcement learners in a skill transfer scenario over continuous communication and feedback. An autonomous agent initially acts …

Emotion recognition based preference modelling in argumentative dialogue systems
N Rach, K Weber, A Aicher… – 2019 IEEE …, 2019 – ieeexplore.ieee.org
… The respective paraphrasing is done by a template based Natural Language Generation (NLG … we introduced a modified version of the Argumentative Dialogue System EVA in … in 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005 …

Towards the Learning, Perception, and Effectiveness of Teachable Conversational Agents
N Chhibber – 2019 – uwspace.uwaterloo.ca
… 3.3.2 Dialog System … Specifically, we investigate whether these teachable agents reliably learn from natural language conversations, how the teaching process affects human-teacher’s performance later in the task, and whether human-teachers trust their own teachable agents …

Reinforcement learning for extended reality: designing self-play scenarios
L Espinosa Leal, A Chapman… – … of the 52nd …, 2019 – scholarspace.manoa.hawaii.edu
… its potential to advance and improve applications in gaming, robotics, natural language processing (including dialogue systems, machine translation … unsupervised sensorimotor interaction,” in The 10th International Conference on Autonomous Agents and Multiagent …

Medical and health systems
D Sonntag – The Handbook of Multimodal-Multisensor Interfaces …, 2019 – dl.acm.org
… Application domains include serious games, conversational agents, or dialogue systems for healthy behavior promotion; intelligent interactive monitoring of patient’s environment and needs; intelligent interfaces supporting access to healthcare services; patient-tailored decision …

Influencing Leading and Following in Human-Robot Teams.
M Kwon, M Li, A Bucquet, D Sadigh – Robotics: Science and …, 2019 – iliad.stanford.edu
… Using natural language or pre-defined, task-specific com- munication signals (eg, blinking lights) are viable solutions [42, 5]. However, in this work, we focus on finding more general solutions that do not rely on the assumption that there will be direct channels of communication …

Curiosity did not kill the robot: A curiosity-based learning system for a shopkeeper robot
M Doering, P Liu, DF Glas, T Kanda, D Kuli?… – ACM Transactions on …, 2019 – dl.acm.org
… Approaches for Conversational Agents and Social Robots There exist some dialog systems that learn the … especially in the field of sensorimotor learning, on generating autonomous agent behaviors based … 2https://www.ibm.com/watson/services/natural-language-understanding …

Explanation in artificial intelligence: Insights from the social sciences
T Miller – Artificial Intelligence, 2019 – Elsevier
… Applications of explanation are considered in many sub-fields of artificial intelligence, such as justifying autonomous agent behaviour [129], [65], debugging of machine learning models [89], explaining medical decision-making [45], and explaining predictions of classifiers [157] …

Pedestrian trajectory prediction in extremely crowded scenarios
X Shi, X Shao, Z Guo, G Wu, H Zhang, R Shibasaki – Sensors, 2019 – mdpi.com
… Deep learning methods are highly successful recently, in particular, LSTM [20] on natural language process [21,22], which has also been introduced to trajectory prediction and has achieved exceptional performance [6,7,23,24] …

Virtual Reality and Augmented Reality
Y El Miedany – Rheumatology Teaching, 2019 – Springer
… Keywords. Virtual patients Virtual reality Augmented reality Natural interface Natural language processing (NLP) Virtual reality environment Natural user interface … Natural language processing (NLP) is an important factor in the development of a natural user interface (NUI) …

Improving grounded natural language understanding through human-robot dialog
J Thomason, A Padmakumar, J Sinapov… – … on Robotics and …, 2019 – ieeexplore.ieee.org
… We hope that our agent and learning strategies for an end-to-end dialog system with perceptual connections to the real world inspire further research on grounded … [1] J. Thomason, S. Zhang, R. Mooney, and P. Stone, “Learning to interpret natural language commands through …

Redirecting player speech: Lexical entrainment to challenging words in human–computer dialogue
A Bergqvist – 2019 – diva-portal.org
… However, the magnitude of the variety poses a challenge for the computer science area of natural language processing … In a well-documented approach to dealing with the diversity, the words that a dialogue system can understand are embedded in its output speech …

Machine Learning from Casual Conversation
A Mohammed Ali – 2019 – stars.library.ucf.edu
… example-based learning protocol [50]. LfI allows the user to issue instructions in natural language to direct a computer agent about how to perform a task … natural language to provide assistance to callers to banks, airlines, restaurants, etc. As a result …

The facilitator is a Bot: towards a conversational agent for facilitating idea elaboration on idea platforms
EAC Bittner, GC Küstermann, C Tratzky – 2019 – aisel.aisnet.org
… terms have been used for different CAs, such as machine conversation system, virtual or computer agent, dialogue system, and chatbot or … While general bots still face major technological challenges of natural language understand- ing and machine learning and need large …

Red or blue pill: fostering identification and transportation through dialogue choices in RPGs
JT Bowey, MA Friehs, RL Mandryk – … on the Foundations of Digital Games, 2019 – dl.acm.org
… 3 SYSTEM DESCRIPTION We present three studies in this paper. All three studies use an interactive dialogue system that maintains a morality model of the player based on their decisions, and tailors future choices based on this model …

Managing an Agent’s Self-presentational Strategies during an Interaction
B Biancardi, M Mancini, P Lerner… – Frontiers in Robotics and …, 2019 – frontiersin.org
… turn, according to a reinforcement learning algorithm. The self-presentational intention manager also includes a Natural Language Processing (NLP) module for user’s speech interpretation. As explained in section 4.2, Flipper …

Towards a Self-aware Intelligent Agent
M Morisio, O Isabeau – 2019 – webthesis.biblio.polito.it
… 1.1 Dialogue system architecture … Languages Understanding (NLU) and Natural Lan- guages Generation (NLG) ones, both better known under Natural Language Processing (NLP … In the Maes Autonomous Agent, a basic on-the-spot definition is given: an agent is computational …

Enriching Scientific Paper Embeddings with Citation Context
K Henner – 2019 – digital.lib.washington.edu
… might be done, as Garfield wrote, by “machines or machine-like people” (Garfield, 1965). Increase in available compute power and improvements in natural language processing … the field of Natural Language Processing. Like the works mentioned above, their model …

Virtual humans: Today and tomorrow
D Burden, M Savin-Baden – 2019 – books.google.com
… DEFINITION 16 EXAMPLES OF VIRTUAL HUMANS 17 Chatbots 17 Autonomous Agents 18 Conversational … Assemblages 159 BUILDING A VIRTUAL HUMAN 159 The Natural Language Core 160 … of a virtual human Kismet robot Research on dialogue systems for language …

Towards a Robot Architecture for Situated Lifelong Object Learning
JL Part, O Lemon – 2019 IEEE/RSJ International Conference on …, 2019 – joselpart.org
… to the quality of the collected data, the robustness of the dialogue system and the … Novel Objects in One Shot through Human-Robot Interactions in Natural Language Dialogues,” in … in Pro- ceedings of the 17th International Conference on Autonomous Agents and Multiagent …

Investigating the Automation of Self-Help Therapies by means of Visual Tooling
GJ Kolkman – 2019 – dspace.library.uu.nl
Page 1. Investigating the Automation of Self-Help Therapies by means of Visual Tooling AUTHOR GJ (Gerben) Kolkman 4118863 SUPERVISORS Dr. ir. RJ (Robbert Jan) Beun Prof. dr. ir. JFM (Judith) Masthoff August 4th, 2019 Page 2. Abstract …

You’ll be Great: Virtual Agent-based Cognitive Restructuring to Reduce Public Speaking Anxiety
E Kimani, T Bickmore, H Trinh… – 2019 8th International …, 2019 – ieeexplore.ieee.org
… with speech anxiety using au- tomated cognitive restructuring, implemented using natural language generation techniques … [10] T. Bickmore and T. Giorgino, “Health dialog systems for patients … in Proceedings of the 2014 International Conference on Autonomous Agents and Multi …

Understanding and measuring user experience in conversational interfaces
AB Kocaballi, L Laranjo, E Coiera – Interacting with Computers, 2019 – academic.oup.com
… is used for Automatic Speech Recognition, and the rate of out of vocabulary words is used for Natural Language Generation (López … One approach specifically focusing on assessing user experience of multimodal dialogue systems is SUXES proposed by (Turunen et al., 2009) …

Introduction to The Roles of Natural Language and XML in the Semantic Web
W Lenders – Computational Linguistics and Beyond – ling.sinica.edu.tw
… XML-based NLP tools, corpus annotation standards, XML in document generation, XML in spoken dialogue systems … The Roles of Natural Language and XML in the Semantic Web/145 way to allow for increasingly intelligent and therefore autonomous agents (Berners-Lee …

Responsible innovation in online therapy
KV Vold, D Peters, R Calvo, D Robinson – 2019 – repository.cam.ac.uk
… Even within the relatively traditional landscape of apps and websites, recent advances in Natural Language Processing and AI are being used to improve quality and reduce the cost of treatment, but the speed of technological innovation outpaces regulation, and this has led to …

From rituals to magic: Interactive art and HCI of the past, present, and future
M Jeon, R Fiebrink, EA Edmonds, D Herath – International Journal of …, 2019 – Elsevier
JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Skip to main content Skip to article …

Toward AI Systems that Augment and Empower Humans by Understanding Us, our Society and the World Around Us
J Crowley, AP O’Sullivan, A Nowak, C Jonker… – 2019 – humane-ai.eu
… This section describes enabling technologies and lists required innovations in a broad spectrum of areas including Machine Learning, Computer Vision, Robotics, Human Computer Interaction, Natural Language Processing and Conversational AI …

A Dialogue manager for task-oriented agents based on dialogue building-blocks and generic cognitive processing
M Wahde – … IEEE International Symposium on INnovations in …, 2019 – ieeexplore.ieee.org
… [7] J. Weizenbaum, “Eliza – a computer program for the study of natural language communication between man and machine,” Commun. ACM, vol … 901–934, 2009. [18] E. Black and A. Hunter, “An inquiry dialogue system,” Autonomous Agents and Multi-Agent Systems, vol …

Autonomy, social agency, and the integration of human and robot environments
J Thomas – 2019 – summit.sfu.ca
… In Pfeifer’s Building “Fungus Eaters”: Design Principles of Autonomous Agents [85], self-sufficiency and the means to maintain it are proposed as the basis of autonomy for an agent – a fungus-eating robot stranded on a distant world must have the means to seek out and eat …

Trusting virtual agents: The effect of personality
MX Zhou, G Mark, J Li, H Yang – ACM Transactions on Interactive …, 2019 – dl.acm.org
… an AI interviewer’s ability to coach a user. Third, the engine must allow easy integration of third-party conversational technologies, eg, Google Natural Language Processing (NLP) API. With these design criteria in mind and inspired …

Embodiment in socially interactive robots
E Deng, B Mutlu, M Mataric – arXiv preprint arXiv:1912.00312, 2019 – arxiv.org
Page 1. Embodiment in Socially Interactive Robots Eric Deng University of Southern California denge@usc.edu Bilge Mutlu University of Wisconsin–Madison bilge@cs.wisc.edu Maja J Matari? University of Southern California mataric@usc.edu December 3, 2019 Abstract …

Multimodal Analysis and Estimation of Intimate Self-Disclosure
M Soleymani, K Stefanov, SH Kang, J Ondras… – 2019 International …, 2019 – dl.acm.org
… KEYWORDS self-disclosure, neural networks, nonverbal behavior, natural language understanding ACM Reference Format: Mohammad Soleymani, Kalin Stefanov … disclosure has been limited to language under- standing in interactions with spoken dialogue system [35], online …

Language-capable robots may inadvertently weaken human moral norms
RB Jackson, T Williams – 2019 14th ACM/IEEE International …, 2019 – ieeexplore.ieee.org
… Changing natural language systems to address these issues will become critical as language-capable robots are deployed in increasingly morally consequential contexts. Although we focus on clarification request generation, we suspect that other dialogue system components …

An interactive multi-agent reasoning model for sentiment analysis: a case for computational semiotics
J Akhtar – Artificial Intelligence Review, 2019 – Springer
… pendulum between the two dominant schools of thought has been swinging since, well, the documented history. But before we get to that discussion, Manning reminds the scientific community about the wider spirit of natural language processing (NLP) (Manning 2015) …

Control of robot swarms through natural language dialogue: a case study on monitoring fires
NMA Mendonça – 2019 – repositorio.iscte-iul.pt
… 2.2 Belief Communication Between Agents Natural language dialogue is the most used type of communication between hu … With defined principles for belief modeling and updat- ing for autonomous agents, spoken dialogue between humans and agents can be achieved …

Reinforcement Learning from Algorithm Model to Industry Innovation: A Foundation Stone of Future Artificial Intelligence
D Shaokang, C Jiarui, LIU Yong… – ZTE …, 2019 – res-www.zte.com.cn
Page 1. ZTE COMMUNICATIONS September 2019 Vol. 17 No. 3 Reinforcement Learning from Algorithm Model to Industry Innovation: A Foundation Stone of Future Artificial Intelligence DONG Shaokang, CHEN Jiarui, LIU Yong, BAO Tianyi, and GAO Yang Review …

Proactive Communication in Human-Agent Teaming
EM van Zoelen – 2019 – dspace.library.uu.nl
… The focus is for a large part on dialogue systems, while the work done in this thesis is not aimed at creating a dialogue system. However, looking at human-agent communication systems and algorithms, dialogue systems are a large part of the existing research …

Multitask Prediction of Exchange-level Annotations for Multimodal Dialogue Systems
Y Hirano, S Okada, H Nishimoto… – … Conference on Multimodal …, 2019 – dl.acm.org
… sensing and adaptation techniques have been developed in [9, 17, 22, 25, 30, 34, 35], while simultaneous sentiment level and next action prediction for the dialogue systems are un- explored. Sentiment analysis is an important topic in natural language processing [27], speech …

Challenge discussion: advancing multimodal dialogue
J Allen, E André, PR Cohen, D Hakkani-Tür… – The Handbook of …, 2019 – dl.acm.org
… is just for the purpose of engaging people but I kind of believe that it’s also important for task-based dialogue systems because what … If the user regards the dialogue agent as a companion, simple chatbots might be more effective than natural language systems that go into depth …

Standardized representations and markup languages for multimodal interaction
R Tumuluri, D Dahl, F Paternò… – The Handbook of …, 2019 – dl.acm.org
… An XML markup language for describing the results of multimodal processors such as speech recognition, image recogni- tion, and natural language understanding, standardized by the W3C Multimodal Interaction Working Group … SCXML Natural language understanding …

A narrative sentence planner and structurer for domain independent, parameterizable storytelling
SM Lukin, MA Walker – Dialogue & Discourse, 2019 – 129.70.43.92
… Marilyn A. Walker MAWALKER@UCSC.EDU Natural Language and Dialogue Systems Lab University of California, Santa Cruz, CA Editor: Vera Demberg Submitted 07/2017; Accepted 04/2019; Published online 05/2019 Abstract …

Intelligent Conversational Agent Assisted Health Coaching System: The CoachAI Approach
A Fadhil – researchgate.net
… Natural Language Text Input text Dialog Engine Backend Action Intent, Slot, State Output text Natural Language Output Generation Text Dialog state tracking Fig. 7. CoachAI – Task-oriented dialog system overview. F. Dialog Engine …

of deliverable First periodic report
J van Loon, H op den Akker, T Beinema, M Broekhuis… – 2019 – council-of-coaches.eu
… 11 delivery of the Open Agent Platform – an open source platform that will allow researchers and developers to create their own multi-agent dialogue systems for various domains. In Figure 2 below, the two pathways for the Functional and Technical demonstrators are shown …

Passive Diagnosis of Mental Health Disorders Incorporating an Empathic Dialogue System
F Delahunty, M Arcan, R Johansson – 2019 – thesiscommons.org
… The question of designing systems to engage in human-computer interaction has long been a topical issue within the field of natural language processing. Dialogue systems (or conversational agents) are automatic computer systems intended to be able to converse with …

Knowledge-based Conversational Search
S Vakulenko – arXiv preprint arXiv:1912.06859, 2019 – arxiv.org
… 6.3 End-to-end Methodology for Designing a Dialogue System … Such intelligent assistants, however, do not constitute autonomous agents, but are mere mediators that … for us is enabling an e cient communication medium through interactive natural-language interfaces inspired …

Socio-Cognitive Engineering of a Robotic Partner for Child’s Diabetes Self-Management
MA Neerincx, W van Vught, OB Henkemans… – Frontiers in Robotics …, 2019 – rifca.nl
Page 1. Delft University of Technology Socio-Cognitive Engineering of a Robotic Partner for Child’s Diabetes Self-Management Neerincx, Mark; van Vught, Willeke; Blanson Henkemans, OA; Oleari, Elettra; Broekens, Joost; Peters …

An architecture for emotional facial expressions as social signals
R Aylett, C Ritter, MY Lim, F Broz… – IEEE Transactions …, 2019 – ieeexplore.ieee.org
… It is a significant issue in work on pedagogical agents, though some work [42] [43] relates to natural language expressions rather than non-verbal … it combines a cognitive architecture able to model a rich internal state with the focus on interactivity of a dialogue system, albeit a pre …

Exploring C2 Capability and Effectiveness in Challenging Situations: Interorganizational Crisis Management, Military Operations and Cyber Defence
M Granåsen – 2019 – books.google.com
Page 1. Linköping Studies in Science and Technology, Licentiate Thesis No. 1836 Exploring C2Capability and Effectiveness in Challenging Situations Interorganizational Crisis Management, Military Operations and Cyber Defence Magdalena Granåsen Page 2 …

Humour-in-the-loop: Improvised Theatre with Interactive Machine Learning Systems
KW Mathewson – 2019 – era.library.ualberta.ca
… machine interaction that I collaborated on: • Dziri N, Kamalloo E, Mathewson KW and Zaiane O (2019) Evaluating Coherence in Dialogue Systems using Entailment. Annual Conference … 13 2.2 Conversational Dialogue Systems …

Unsupervised Text Representation Learning with Interactive Language
H Cheng – 2019 – digital.lib.washington.edu
… effective in many NLP tasks including both natural language understanding and natural language generation … Some recent work on the interactive model includes neural conversational models [34, 35] and neural-based spoken dialogue systems [36, 37] …

How to Survive a Robot Invasion: Rights, Responsibility, and AI
DJ Gunkel – 2019 – books.google.com
… Today an increasingly significant portion of this work can be performed by a speech dialogue system (SDS), like Google Duplex … Now, however, Natural Language Generation (NLG) algorithms, like Narrative Science’s Quill and Automated Insights’ Wordsmith, can do that work …

Certified reinforcement learning with logic guidance
M Hasanbeig, A Abate, D Kroening – arXiv preprint arXiv:1902.00778, 2019 – arxiv.org
… of This Work: Linear Temporal Logic (LTL) [82] is a formal language that allows to express formal engineering requirements and specifications, to the extent that there exists a substantial body of research on extraction of LTL properties from natural language sentences, eg [37 …

Usability evaluation of spoken humanoid embodied conversational agents in mobile serious games
D Korre – 2019 – era.ed.ac.uk
… and emotions. Despite these theoretical advantages, according to recent studies, the interaction with spoken dialogue systems, either in the form of an embodied agent … HCI: human computer interaction NLI: natural language interaction AI: artificial intelligence …

Opinion Analysis in Interactions: From Data Mining to Human-Agent Interaction
C Clavel – 2019 – books.google.com
… center at Thales Research and Technology. Later, I extended my field of study from acoustic analysis to natural language processing in the context of opinion analysis studies carried out at EDF Lab. Since 2013, I have held …

Socially-Aware Dialogue System
R Zhao – 2019 – lti.cs.cmu.edu
… socially-aware framework, multimodal machine learning, temporal sequence learning, cognitive architecture, neural dialogue model, rapport, conversational strategy, spoken dialogue system, discourse analysis, social reasoning, natural language generation, negotiation …

Game AI Pro 360: Guide to Character Behavior
S Rabin – 2019 – books.google.com
… building autonomous agents who construct personal narratives out of their subjective experience in simulated worlds, and developing new technologies for freeform conversational interaction in games (by integrating systems for dialog management, natural language generation …

Deep Neural Networks for Human Activity Recognition with Wearable Sensors
M Zeng – 2019 – search.proquest.com
… speech recognition (ASR), natural language processing (NLP), and search behavior modeling, which have inspired us … machine translation [11, 116], text summarization [156, 26], dialogue systems [177], question-answering [191], and. image captioning [146] …

Beyond Labels and Captions: Contextualizing Grounded Semantics for Explainable Visual Interpretation
SN Aakur – 2019 – search.proquest.com
… 8 2.1.2 Natural Language Representations … In Chapter 2, we review extant literature in multimodal data understanding. We explore the various representation learning paradigms for data from multiple modalities, such as natural language and visual data …

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