Authors:
Jieyeon Woo
;
Catherine Pelachaud
and
Catherine Achard
Affiliation:
ISIR-CNRS, Sorbonne University, 4 Place Jussieu, Paris, France
Keyword(s):
Socially Interactive Agents, Human-Agent Interaction, Reciprocal Adaptation, Nonverbal Behaviors, Smile.
Abstract:
Recent works focus on creating socially interactive agents (SIAs) that are social, engaging, and human-like. SIA development is mainly on endowing the agent with human capacities such as communication and behavior adaptation skills. Nevertheless, the task of evaluating the agent’s quality remains as a challenge. Especially, the way of objectively evaluating human-agent interactions is not evident. To address this problem, we propose new measures to evaluate the agent’s interaction quality. This paper focuses on interlocutors’ continuous, dynamic, and reciprocal behavior adaptation during an interaction, which we refer to as reciprocal adaptation. Our reciprocal adaptation measures capture this adaptation by measuring the synchrony of behaviors including their absence of response and by assessing the behavior entrainment loop. We investigate the nonverbal adaptation, notably for smile, in dyads. Statistical analyses are conducted to improve the understanding of the adaptation phenomen
on. We also studied how the presence of reciprocal adaptation may be related to different aspects of the interaction dynamics and conversational engagement. We investigate how the influence of the social dimensions of warmth and competence along with the engagement is related to reciprocal adaptation.
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