{
  "id": 11867,
  "url": "https://arxiv.org/abs/2607.15579v1",
  "title": "PACE: Persona Adaptation through Conversational Elicitation in Human-Robot Interaction",
  "summary": "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",
  "authors": "Peizhen Li, Longbing Cao, Megani Rajendran, Timothy Liu, Aik Beng Ng, Simon See",
  "category": "research",
  "topics": "agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-17T02:45:52.000Z",
  "fetched_at": "2026-07-20T05:10:09.534Z",
  "source_slug": "x-arxiv-cs-hc",
  "source_name": "arXiv cs.HC",
  "source_homepage": "https://arxiv.org/list/cs.HC/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/11867",
  "original_url": "https://arxiv.org/abs/2607.15579v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}