On Designing Expressive Robot Behavior: The Effect of Affective Cues on Interaction

Creating a convincing affective robot behavior is a challenging task. In this paper, we are trying to coordinate between different modalities of communication: speech, facial expressions, and gestures to make the robot interact with human users in an expressive manner. The proposed system employs vi...

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Bibliographic Details
Published in:SN computer science Vol. 1; no. 6; p. 314
Main Authors: Aly, Amir, Tapus, Adriana
Format: Journal Article
Language:English
Published: Singapore Springer Singapore 01.11.2020
Springer Nature B.V
Springer
Subjects:
Behavior
Computer Imaging
Computer Science
Computer Systems Organization and Communication Networks
Data Structures and Information Theory
Deep learning
Emotions
Gender
Hypotheses
Information Systems and Communication Service
Language
Original Research
Pattern Recognition and Graphics
Personality
Robotics
Robots
Semantics
Software Engineering/Programming and Operating Systems
Speech
Vision
Gesture synthesis
Embodiment of affective robot behavior
Speech synthesis
Human perception of the robot behavior
Facial expressions modelling
ISSN:2662-995X, 2661-8907
Online Access:Get full text
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Summary:Creating a convincing affective robot behavior is a challenging task. In this paper, we are trying to coordinate between different modalities of communication: speech, facial expressions, and gestures to make the robot interact with human users in an expressive manner. The proposed system employs videos to induce target emotions in the participants so as to start interactive discussions between each participant and the robot around the content of each video. During each experiment of interaction, the expressive ALICE robot generates an adapted multimodal behavior to the affective content of the video, and the participant evaluates its characteristics at the end of the experiment. This study discusses the multimodality of the robot behavior and its positive effect on the clarity of the emotional content of interaction. Moreover, it provides personality and gender-based evaluations of the emotional expressivity of the generated behavior so as to investigate the way it was perceived by the introverted–extroverted and male–female participants within a human–robot interaction context.
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ISSN:2662-995X
2661-8907
DOI:10.1007/s42979-020-00263-3