arXiv:2604.18197cs.HCcs.RO2026-04

通过持续焦点小组,追踪自闭症干预中各方意见变化。

Continuous Focus Groups: A Longitudinal Method for Clinical HRI in Autism Care

  • 用连续多阶段焦点小组跟踪临床团队观点演变
  • 信任提升,临床经验融入设计,可及时调整参与意愿
  • 适合用户难重复参与的敏感医疗场景研究

定性方法对人机交互(HRI)研究至关重要,但常以静态或一次性形式开展,难以捕捉利益相关者观点随时间的演变。在临床场景中,家庭与患者负担重,难以参与多次研究。为此,本文提出持续焦点小组方法,通过在机器人辅助治疗协议的多个阶段组织三组焦点讨论,使参与者能不断回顾并修正早期观点。结果表明,持续性促进了信任建立,支持将临床隐性知识整合到设计决策中,并作为伦理保障机制,使参与者可重新协商参与方式、暴露新关切。该方法连接了家庭、儿童与临床人员的治疗迭代,以及研究者与开发者的研发迭代,兼具实践可行性与设计严谨性。该框架可推广至其他用户难以重复参与的敏感领域,推动HRI中定性研究的发展。

原文摘要 · Abstract (English)

Qualitative methods are important to use alongside quantitative methods to improve Human-Robot Interaction (HRI), yet they are often applied in static or one-off formats that cannot capture how stakeholder perspectives evolve over time. This limitation is especially evident in clinical contexts, where families and patients face heavy burdens and cannot easily participate in repeated research encounters. To address this gap, we introduce continuous focus groups, a longitudinal and co-agential method designed to sustain dialogue with assistive care professionals working with children with autism spectrum disorder (ASD). Three focus groups were organized across successive phases of a robot-assisted therapeutic protocol, enabling participants to revisit and refine earlier views as the intervention progressed. Results show that continuity fostered trust, supported the integration of tacit clinical expertise into design decisions, and functioned as an ethical safeguard by allowing participants to renegotiate involvement and surface new concerns. By bridging the therapeutic iteration of families, children, and clinicians with the research-design iteration of researchers and developers, continuous focus groups provide a methodological contribution that is both feasible in practice and rigorous in design. Beyond autism care, this approach offers a transferable framework for advancing qualitative research in HRI, particularly in sensitive domains where direct user participation is limited and continuity is essential.

人机交互自闭症干预定性研究持续研究

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