通过用户共创设计对话层，提升家长支持AI的可用性与信任感。
The Interaction Layer: An Exploration for Co-Designing User-LLM Interactions in Parental Wellbeing Support Systems
- 让父母扮演AI角色重写对话，优化理解与控制感。
- 测试中用户满意度达91.3分（满分100），显著改善交互体验。
- 适合关注AI辅助育儿系统设计的研究者与实践者。
育儿带来情感与身体挑战，从工作、育儿和财务平衡到疲惫与个人时间匮乏。然而，三分之一的父母从未寻求支持。人工智能系统可能提供无污名、可及且负担得起的解决方案。但用户采纳常因可解释性与可靠性问题受阻。为检验协同设计能否解决这些问题，我们开发并测试了NurtureBot——一款面向新手父母的心理健康支持助手。32位父母通过异步远程社区方法共同设计系统，识别出关键挑战在于实现“成功对话”。在共设计过程中，父母扮演NurtureBot角色，重写对话以提升用户理解、控制力与结果。优化后的原型经32位初始用户和46位新用户评估，用户体验与可用性显著提升，最终CUQ得分为91.3/100，验证了有效交互模式。该过程揭示了构建高效AI育儿支持系统的交互设计启示。
原文摘要 · Abstract (English)
Parenting brings emotional and physical challenges, from balancing work, childcare, and finances to coping with exhaustion and limited personal time. Yet, one in three parents never seek support. AI systems potentially offer stigma-free, accessible, and affordable solutions. Yet, user adoption often fails due to issues with explainability and reliability. To see if these issues could be solved using a co-design approach, we developed and tested NurtureBot, a wellbeing support assistant for new parents. 32 parents co-designed the system through Asynchronous Remote Communities method, identifying the key challenge as achieving a "successful chat." As part of co-design, parents role-played as NurtureBot, rewriting its dialogues to improve user understanding, control, and outcomes. The refined prototype, featuring an Interaction Layer, was evaluated by 32 initial and 46 new parents, showing improved user experience and usability, with final CUQ score of 91.3/100, demonstrating successful interaction patterns. Our process revealed useful interaction design lessons for effective AI parenting support.
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