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Article Dans Une Revue Autonomous Robots Année : 2016

Towards an Intelligent System for Generating an Adapted Verbal and Nonverbal Combined Behavior in Human–Robot Interaction

Amir Aly
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Résumé

In Human-Robot Interaction (HRI) scenarios , an intelligent robot should be able to synthesize an appropriate behavior adapted to human profile (i.e., personality). Recent research studies discussed the effect of personality traits on human verbal and nonverbal behaviors. The dynamic characteristics of the generated gestures and postures during the nonverbal communication can differ according to personality traits, which similarly can influence the verbal content of human speech. This research tries to map human verbal behavior to a corresponding verbal and nonverbal combined robot behavior based on the extraversion-introversion personality dimension. We explore the human-robot personality matching aspect and the similarity attraction principle, in addition to the different effects of the adapted combined robot behavior expressed through speech and gestures, and the adapted speech-only robot behavior, on interaction. Experiments with the humanoid NAO robot are reported.
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Dates et versions

hal-01203658 , version 1 (13-10-2015)

Identifiants

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Amir Aly, Adriana Tapus. Towards an Intelligent System for Generating an Adapted Verbal and Nonverbal Combined Behavior in Human–Robot Interaction. Autonomous Robots, 2016, 40 (2), pp.193-209. ⟨10.1007/s10514-015-9444-1⟩. ⟨hal-01203658⟩
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