Contextual Emotion Appraisal Based on a Sentential Cognitive System for Robots

Emotion plays a powerful role in human interaction with robots. In order to express more human-friendly emotions, robots need the capability of contextual appraisal that expresses the emotional relevance of various targets in the spatiotemporal situation. In this paper, an emotional appraisal method...

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Bibliographic Details
Published in:Applied sciences 2021-03, Vol.11 (5), p.2027
Main Authors: Ahn, Hyunsik, Park, Sung
Format: Article
Language:English
Subjects:
Cognition & reasoning
cognitive robotics
contextual emotion appraisal
emotion appraisal system
Emotions
HRI
Robots
sentential cognitive system
Signal processing
Verbal communication
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Summary:Emotion plays a powerful role in human interaction with robots. In order to express more human-friendly emotions, robots need the capability of contextual appraisal that expresses the emotional relevance of various targets in the spatiotemporal situation. In this paper, an emotional appraisal methodology is proposed to cope with such contexts. Specifically, the Ortony, Clore, and Collins model is abstracted and simplified to approximate an emotional appraisal model in the form of a sentence-based cognitive system. The contextual emotion appraisal is modeled by formulating the emotional relationships among multiple targets and the emotional transition with events and time passing. To verify the proposed robotic system’s feasibility, simulations were conducted for scenarios where it interacts with humans manipulating liked or disliked objects on a table. This experiment demonstrated that the robot’s emotion could change over time like humans by using a proposed formula for emotional valence, which is moderated by emotion appraisal of occurring events.
ISSN:2076-3417
2076-3417
DOI:10.3390/app11052027