Personal Preference Analysis for Emotional Behavior Response of Autonomous Robot in Interactive Emotion Communication

Robots must understand human intention flexibly before the two can live together, for example. Interaction Emotion Communication (IEC), bidirectional communication based on emotional behavior between human beings and robots, raises the personal affinity a robot has for human beings. IEC consists of three processes – (1) recognizing human emotion, (2) generating robot emotion, and (3) expressing robot emotion. We focus here on generating robot emotion. Emotional behavior patterns desirable in a robot vary with the person, so we also conducted individual preference analysis of emotional behavior.

[1]  Takayuki Kanda,et al.  Psychological Evaluation on Interactions between People and Robot , 2001 .

[2]  Minoru Asada,et al.  Modular Learning Systems for Behavior Acquisition in Multi-Agent Environment , 2008 .

[3]  Oudeyer Pierre-Yves,et al.  The production and recognition of emotions in speech: features and algorithms , 2003 .

[4]  Tomomasa Sato,et al.  Analysis of Impression of Robot Bodily Expression , 2002, J. Robotics Mechatronics.

[5]  Karl F. MacDorman,et al.  Androids as an Experimental Apparatus: Why Is There an Uncanny Valley and Can We Exploit It? , 2005 .

[6]  H. Itoh,et al.  EMOTIVE FACIAL EXPRESSIONS OF SENSITIVITY COMMUNICATION ROBOT “IFBOT” , 2005 .

[7]  Yoichiro Maeda,et al.  Behavior-decision fuzzy algorithm for autonomous mobile robots , 1993, Inf. Sci..

[8]  R. Laban,et al.  The mastery of movement , 1950 .

[9]  J. Burgoon,et al.  Nonverbal Communication , 2018, Encyclopedia of Evolutionary Psychological Science.

[10]  Yoichiro Maeda,et al.  Automatic Generation of Musical Tone Row and Rhythm Based on the Twelve-Tone Technique Using Genetic Algorithm , 2010, J. Adv. Comput. Intell. Intell. Informatics.

[11]  A. Takanishi,et al.  Various emotional expressions with emotion expression humanoid robot WE-4RII , 2004, IEEE Conference on Robotics and Automation, 2004. TExCRA Technical Exhibition Based..

[12]  Illah R. Nourbakhsh,et al.  The role of expressiveness and attention in human-robot interaction , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[13]  S. Kuroiwa,et al.  Non-verbal voice emotion analysis system , 2006 .

[14]  C. V. Witvliet,et al.  Psychophysiological responses as indices of affective dimensions. , 1995, Psychophysiology.

[15]  E. Lehmann,et al.  Nonparametrics: Statistical Methods Based on Ranks , 1976 .

[16]  Charlotte vanOyen Witvliet,et al.  Emotional imagery, the visual startle, and covariation bias: An affective matching account , 2000, Biological Psychology.

[17]  J. Russell.  A circumplex model of affect. , 1980 .

[18]  Shohei Kato,et al.  An Emotion Generation Model Based on the Dialogist Likability for Sensitivity Communication Robot , 2007 .

[19]  Pierre-Yves Oudeyer,et al.  The production and recognition of emotions in speech: features and algorithms , 2003, Int. J. Hum. Comput. Stud..

[20]  Yoichiro Maeda.  EMOTIONAL GENERATION MODEL FOR AUTONOMOUS MOBILE ROBOT , 1999 .

[21]  Minoru Asada,et al.  Lexicon acquisition based on object-oriented behavior learning , 2006, Adv. Robotics.

[22]  Minoru Asada,et al.  Efficient Behavior Learning Based on State Value Estimation of Self and Others , 2008, Adv. Robotics.

[23]  Yoichiro Maeda,et al.  Special Issue on Human Symbiotic Systems II , 2010 .