Modeling of Stress/Interest State Controlling in Robot-Child Play Situation | Zendy

Takashi Omori | Zendy; Kasumi Abe | Zendy; Takayuki Nagai | Zendy

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Modeling of Stress/Interest State Controlling in Robot-Child Play Situation

Author(s) -

Takashi Omori,

Kasumi Abe,

Takayuki Nagai

Publication year - 2015

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2015.12.219

Subject(s) - computer science , construct (python library) , action (physics) , human–computer interaction , task (project management) , robot , cognitive architecture , process (computing) , cognition , mental state , architecture , human–robot interaction , state (computer science) , artificial intelligence , cognitive science , psychology , programming language , art , physics , management , quantum mechanics , neuroscience , economics , visual arts

When we interact with other person, we need a knowledge on other's mind and consult it to decide action of our self. We call the knowledge Model of Other, MoO. To realize a cognitive architecture to interact with human, MoO must be embedded and used in a decision making process. But to design MoO, we must know how human interact in real world in MoO view because we aim a practical human interaction task. So, in this paper, we conducted a child-robot play experiment and analyzed human behavior. From the result, we construct a model of emotion level mental status leading that may be a possible leading concept of human-agent interaction design

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