Constructing human-robot interaction with standard cognitive architecture

This paper discusses how to extend cognitive models with an explicit interaction model. The work is based on the Standard Model of Cognitive Architecture which is extended by an explicit model for (spoken) interactions following the Constructive Dialogue Modelling (CDM) approach. The goal is to study how to integrate a cognitively appropriate framework into an architecture which allows smooth communication in human-robot interactions, and the starting point is to model construction of shared understanding of the dialogue context and the partner’s intentions. Implementation of conversational interaction is considered important in the context of social robotics which aim to understand and respond to the user’s needs and affective state. The paper describes integration of the architectures but not experimental work towards this goal.

[1]  Kristiina Jokinen,et al.  Multimodal Open-Domain Conversations with the Nao Robot , 2012, Natural Interaction with Robots, Knowbots and Smartphones, Putting Spoken Dialog Systems into Practice.

[2]  Yasuyuki Yoshida,et al.  Biomechanics for understanding movements in daily activities , 2018 .

[3]  Candace L. Sidner,et al.  A Real-Time Architecture for Embodied Conversational Agents: Beyond Turn-Taking , 2014 .

[4]  J. Gibson.  The Ecological Approach to Visual Perception , 1979 .

[5]  Stephanie Seneff,et al.  Spoken Dialogue Systems , 2008 .

[6]  John R Anderson,et al.  An integrated theory of the mind. , 2004, Psychological review.

[7]  Kristiina Jokinen,et al.  Dialogue Models for Socially Intelligent Robots , 2018, ICSR.

[8]  Taezoon Park,et al.  When stereotypes meet robots: The double-edge sword of robot gender and personality in human-robot interaction , 2014, Comput. Hum. Behav..

[9]  Kristiina Jokinen,et al.  Constructive Dialogue Modelling - Speech Interaction and Rational Agents , 2009, Wiley series in agent technology.

[10]  Bernard Rimé,et al.  Fundamentals of nonverbal behavior , 1991 .

[11]  David R. Traum,et al.  Discourse Obligations in Dialogue Processing , 1994, ACL.

[12]  Heloir,et al.  The Uncanny Valley , 2019, The Animation Studies Reader.

[13]  Daniele P. Radicioni,et al.  Dual PECCS: a cognitive system for conceptual representation and categorization , 2017, J. Exp. Theor. Artif. Intell..

[14]  Riichiro Tadakuma,et al.  Towards shared attention through geometric reasoning for Human Robot Interaction , 2009, 2009 9th IEEE-RAS International Conference on Humanoid Robots.

[15]  Roger K. Moore.  A Bayesian explanation of the ‘Uncanny Valley’ effect and related psychological phenomena , 2012, Scientific Reports.

[16]  Takuichi Nishimura,et al.  Human-Robot Dialogues for Explaining Activities , 2018, IWSDS.

[17]  Clifford Nass,et al.  The media equation - how people treat computers, television, and new media like real people and places , 1996 .

[18]  John E. Laird,et al.  A Standard Model of the Mind: Toward a Common Computational Framework across Artificial Intelligence, Cognitive Science, Neuroscience, and Robotics , 2017, AI Mag..

[19]  Kristiina Jokinen,et al.  Multilingual WikiTalk: Wikipedia-based talking robots that switch languages , 2015, SIGDIAL Conference.

[20]  H. Wimmer,et al.  Beliefs about beliefs: Representation and constraining function of wrong beliefs in young children's understanding of deception , 1983, Cognition.

[21]  Daniel Gatica-Perez,et al.  Modeling Dyadic and Group Impressions with Intermodal and Interperson Features , 2019, ACM Trans. Multim. Comput. Commun. Appl..

[22]  S. Greenberg,et al.  The Psychology of Everyday Things , 2012 .

[23]  J. Prinz.  Furnishing the Mind: Concepts and Their Perceptual Basis , 2004 .