arXiv:2511.03444cs.RO2025-11中稿 · Value Engineering …被引 1

通过用户参与设计,挖掘社交机器人支持社交焦虑的核心价值。

Value Elicitation for a Socially Assistive Robot Addressing Social Anxiety: A Participatory Design Approach

  • 联合心理学者开展共创工作坊,系统挖掘设计价值。
  • 提炼出适应性、接纳性、有效性等关键设计价值。
  • 适合关注人机交互与心理健康技术的研究者参考。

社交焦虑是一种普遍的心理健康问题,严重影响生活质量。尽管技术进步,尤其是社交机器人,为心理健康支持提供了新可能,但现有支持仍显不足。本研究通过与心理健康领域学术研究者合作,开展参与式设计工作坊,借助创意、反思和情景设想活动,探索机器人辅助干预的设计可能性,系统挖掘出对社交焦虑支持至关重要的核心价值:适应性、接纳性与有效性。研究强调以研究为导向的价值挖掘方法,突出用户中心与情境感知的设计原则,为开发更契合需求的社交助手机器人提供重要指导。

原文摘要 · Abstract (English)

Social anxiety is a prevalent mental health condition that can significantly impact overall well-being and quality of life. Despite its widespread effects, adequate support or treatment for social anxiety is often insufficient. Advances in technology, particularly in social robotics, offer promising opportunities to complement traditional mental health. As an initial step toward developing effective solutions, it is essential to understand the values that shape what is considered meaningful, acceptable, and helpful. In this study, a participatory design workshop was conducted with mental health academic researchers to elicit the underlying values that should inform the design of socially assistive robots for social anxiety support. Through creative, reflective, and envisioning activities, participants explored scenarios and design possibilities, allowing for systematic elicitation of values, expectations, needs, and preferences related to robot-supported interventions. The findings reveal rich insights into design-relevant values-including adaptivity, acceptance, and efficacy-that are core to support for individuals with social anxiety. This study highlights the significance of a research-led approach to value elicitation, emphasising user-centred and context-aware design considerations in the development of socially assistive robots.

社交机器人心理健康人机交互

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