PACE: Persona Adaptation through Conversational Elicitation in Human-Robot Interaction
Equipping humanoid robots with coherent and adaptable personas is crucial for fostering natural, engaging, and trustworthy human-robot interaction (HRI). However, existing approaches often rely on static, hard-coded identities that lack the flexibility to adapt to individual user contexts. In this paper, we present PACE (Persona Adaptation through Conversational Elicitation), a novel framework for the interactive generation and deployment of structured personas on the Ameca humanoid robot. Our s
Record details
Published: 17 July 2026
Source: arXiv cs.HC
Category: Research
Topics: Agents & autonomy
Retrieved: 22 July 2026
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ethics.ai (17 July 2026), “PACE: Persona Adaptation through Conversational Elicitation in Human-Robot Interaction,” evidence record 12626, https://ethics.ai/record/12626 (originally published by arXiv cs.HC).
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