通过重新浮现笑声索引的日常时刻来重建和反思积极体验
Reconstruction and Reflection of Positive Experiences through Resurfacing Laughter-indexed Everyday Moments
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中文总结 AI 辅助
本研究提出LaughAnchor系统，利用笑声作为稀疏索引自动记录日常积极时刻，通过情境化重建和重新浮现支持用户反思，并在实地部署中验证了其有效性。
中文摘要 AI 辅助
积极的日常时刻往往不会被刻意记录，而持续的自我追踪可能产生大量难以回顾的记录。我们探索将笑声作为一种自然发生的、稀疏的索引，用于构建情境化的个人记录，以支持后续的重建和反思。一项包含12名参与者的形成性研究将笑声描述为一种情感丰富但语义不完整的索引，并启发了LaughAnchor——一个移动和可穿戴的自我追踪系统。在参与者发起的记录过程中，系统将检测到的笑声和对齐的情境组装成候选时刻，供后续重建和反思使用，并采用分层情境披露、用户控制的策展以及近期和长期重新浮现。在为期三周、包含12名参与者的现场部署中，被动索引保留了那些他们认为不太可能刻意记录但事后觉得有价值的时刻。在重新浮现期间，参与者将情感再体验归因于笑声，并利用额外情境来重建事件和探索已回忆的经历。跨时刻和回顾，重新浮现支持了对关系、日常习惯和情绪状态的重新发现和更广泛的认识。这些发现为使用稀疏情感索引来组织情境记录以支持重建和反思的自我追踪设计提供了信息，同时将解释和保留置于用户控制之下。
英文摘要
Positive everyday moments often escape deliberate recording, while continuous self-tracking can generate extensive records that are difficult to revisit. We explore laughter as a naturally occurring, sparse index for constructing contextualized personal records to support later reconstruction and reflection. A formative study with 12 participants characterized laughter as an affective but semantically incomplete index and informed \textit{LaughAnchor}, a mobile and wearable self-tracking system. During participant-initiated recording, the system assembles detected laughter and aligned context into candidate moments for later reconstruction and reflection, with layered context disclosure, user-controlled curation, and near-term and long-term resurfacing. In a three-week field deployment with 12 participants, passive indexing preserved moments they considered unlikely to record deliberately but valued retrospectively. During resurfacing, participants attributed affective re-experiencing to laughter and used additional context both to reconstruct episodes and to explore already-recalled experiences. Across moments and reviews, resurfacing supported rediscovery and broader awareness of relationships, routines, and emotional states. These findings inform self-tracking designs that use sparse affective indices to organize contextual records for reconstruction and reflection, while keeping interpretation and retention under user control.
发表机构
- Tsinghua University（清华大学）
- Beijing University of Chemical Technology（北京化工大学）
- Hunan University（湖南大学）
机构由 AI 辅助整理，请以论文原文为准。
