用双向互动和个性化小叙事增强亲密聊天的沉浸感
PuppetChat: Fostering Intimate Communication through Bidirectional Actions and Micronarratives
- 基于互惠推荐机制，鼓励双方响应式互动
- 10天实地研究显示社交存在感与记忆延续性显著提升
- 适合想深化亲密关系的用户，尤其情侣或好友
即时通讯是维系现代亲密关系的重要渠道，但现有工具常因单击反应和模糊表情符号削弱情感表达，难以支持双向互动、连续交流和个性关联。为此，我们提出PuppetChat，一种双人对话原型，通过具身交互恢复表达深度。该系统采用互惠感知推荐机制，促进回应性行为，并从用户故事生成个性化小叙事，使交流扎根于个人经历。对11组亲密伴侣或好友进行的10天实地研究显示，该方法显著增强了社交存在感，促进了更丰富的自我披露，并维持了交流的连续性和共享记忆。
原文摘要 · Abstract (English)
As a primary channel for sustaining modern intimate relationships, instant messaging facilitates frequent connection across distances. However, today's tools often dilute care; they favor single tap reactions and vague emojis that do not support two way action responses, do not preserve the feeling that the exchange keeps going without breaking, and are weakly tied to who we are and what we share. To address this challenge, we present PuppetChat, a dyadic messaging prototype that restores this expressive depth through embodied interaction. PuppetChat uses a reciprocity aware recommender to encourage responsive actions and generates personalized micronarratives from user stories to ground interactions in personal history. Our 10-day field study with 11 dyads of close partners or friends revealed that this approach enhanced social presence, supported more expressive self disclosure, and sustained continuity and shared memories.
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