Emotional models for multi-modal communication of robot partners

This paper discusses the availability of emotional models for natural communication of robot partners with people. Recently, the need of robot partners to support elderly people in their daily life is increasing. Such a robot should have an emotional model in order to co-exist with people, and to realize natural communication with people. In this paper, we propose several computational models for emotional interactions of robot partners based on computational intelligence. First, we discuss the functions of emotion in social interaction. Next, we propose an emotional model based on emotions, feelings, and mood. Furthermore, we propose a method for multi-modal communication based on the emotional model. Finally, we show several experimental results of the proposed method, and discuss the availability of the emotional models.

[1]  Randolph R. Cornelius,et al.  The science of emotion: Research and tradition in the psychology of emotion. , 1997 .

[2]  D. Keltner,et al.  Emotion, Social Function, and Psychopathology , 1998 .

[3]  Ross Buck,et al.  The communication of emotion , 1984 .

[4]  Fumio Kojima,et al.  Multiple fuzzy state-value functions for human evaluation through interactive trajectory planning of a partner robot , 2006, Soft Comput..

[5]  Fumio Kojima,et al.  Fuzzy and Neural Computing for Communication of a Partner Robot , 2003, J. Multiple Valued Log. Soft Comput..

[6]  Naoyuki Kubota,et al.  Computational intelligence for structured learning of a partner robot based on imitation , 2005, Inf. Sci..

[7]  Naoyuki Kubota Cognitive Development of Partner Robots Based on Interaction with People , 2008 .

[8]  María Malfaz,et al.  A Biologically Inspired Architecture for an Autonomous and Social Robot , 2011, IEEE Transactions on Autonomous Mental Development.

[9]  L. Cosmides,et al.  To appear in: Evolutionary Psychology and the Emotions Handbook of Emotions, 2nd Edition , 2022 .

[10]  M. Ridley The Origins of Virtue , 1996 .

[11]  N. Kubota,et al.  Structured learning for partner robots based on natural communication , 2008, 2008 IEEE Conference on Soft Computing in Industrial Applications.

[12]  D. Sperber,et al.  Relevance: Communication and Cognition , 1989 .

[13]  Naoyuki Kubota,et al.  Cooperative Perceptual Systems for Partner Robots Based on Sensor Network , 2006 .