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arXiv · 2609.12642

Reconstruction and Reflection of Positive Experiences through Resurfacing Laughter-indexed Everyday Moments

Jun Fang·Jiajin Li·Yuntao Wang·Kexin Miao·Susu Wang·Xiaoyu Xie·Kaixin Ji·Yuanchun Shi
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Abstract

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.

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Jun Fang, Jiajin Li, Yuntao Wang, Kexin Miao, Susu Wang, Xiaoyu Xie, Kaixin Ji, Yuanchun Shi. 2026-09-11. Reconstruction and Reflection of Positive Experiences through Resurfacing Laughter-indexed Everyday Moments. https://arxiv.org/abs/2609.12642

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