应对支架悖论：一种以人为核心自适应机器人面试教练
Tackling the Scaffolding Paradox: A Person-Centered Adaptive Robotic Interview Coach
AI总结：
本文提出一种基于人本治疗和支架理论的自适应机器人面试教练，通过动态反馈机制缓解用户焦虑，提升心理安全与教学指导的平衡。
摘要：
大学学生普遍存在面试焦虑问题，这种焦虑可能影响他们在高风险评估情境中的表现和信心。社交机器人通过情感支持减少了焦虑，但如何在心理安全与有效教学指导之间取得平衡仍然是一个开放问题。本文提出了一种基于人本治疗（PCT）和支架理论的机器人面试教练的三阶段迭代设计研究。在为期三周的三次会话（N=8）中，我们系统地探索了不同互动策略如何影响用户的情感体验、认知负荷和感知效用。第一阶段表明，基于PCT的机器人显著增加了感知的心理安全，但引入了安全-指导差距，即用户感到被支持但指导不足。第二阶段揭示了支架悖论：即时反馈提高了清晰度但破坏了对话流程并增加了认知负荷，而延迟反馈保持了现实性但缺乏可操作的具体性。为解决这种张力，第三阶段引入了代理驱动的互动模式，允许用户动态选择反馈。定性发现表明，用户控制起到了缓解焦虑的作用，恢复了信任，减少了过载，并将互动重新定义为合作而非评估。定量措施进一步显示，面试相关社交和沟通焦虑显著减少，同时保持了高感知温暖和治疗联盟。我们综合这些发现，形成了一种自适应支架生态系统框架，突出了用户代理作为平衡情感支持和教学指导的关键机制。
英文摘要：
Job interview anxiety is a prevalent challenge among university students and can undermine both performance and confidence in high-stakes evaluative situations. Social robots have shown promise in reducing anxiety through emotional support, yet how such systems should balance psychological safety with effective instructional guidance remains an open question. In this work, we present a three-phase iterative design study of a robotic interview coach grounded in Person-Centered Therapy (PCT) and instructional scaffolding theory. Across three weekly sessions (N=8), we systematically explored how different interaction strategies shape users' emotional experience, cognitive load, and perceived utility. Phase I demonstrated that a PCT-based robot substantially increased perceived psychological safety but introduced a Safety-Guidance Gap, in which users felt supported yet insufficiently coached. Phase II revealed a Scaffolding Paradox: immediate feedback improved clarity but disrupted conversational flow and increased cognitive load, whereas delayed feedback preserved realism but lacked actionable specificity. To resolve this tension, Phase III introduced an Agency-Driven Interaction Mode that allowed users to opt in to feedback dynamically. Qualitative findings indicated that user control acted as an anxiety buffer, restoring trust, reducing overload, and reframing the interaction as collaborative rather than evaluative. Quantitative measures further showed significant reductions in interview-related social and communication anxiety, while maintaining high perceived warmth and therapeutic alliance. We synthesize these findings into an Adaptive Scaffolding Ecosystem framework, highlighting user agency as a key mechanism for balancing emotional support and instructional guidance in social robot coaching systems.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
