为可穿戴设备的运动推荐设计提供身体与行为融合的框架
Early Explorations of Recommender Systems for Physical Activity and Well-being
- 提出信任、意图对齐、后果意识三维度设计框架
- 强调传统推荐逻辑在身体场景中的局限性
- 适合健康科技与人机交互研究者参考
随着推荐系统越来越多地指导身体活动，通常通过可穿戴设备和教练工具实现，用户如何理解、信任并响应这些建议带来了新挑战。本文提出一个概念框架，用于指导影响用户身体、日常习惯与整体福祉的有形推荐。我们描述了三个设计维度：信任与解读、意图对齐、后果意识。这些维度揭示了将传统推荐逻辑应用于具身场景时的关键限制。通过案例分析与设计反思，本文阐明未来系统如何支持长期福祉、行为一致性以及社会负责任的个性化。
原文摘要 · Abstract (English)
As recommender systems increasingly guide physical actions, often through wearables and coaching tools, new challenges arise around how users interpret, trust, and respond to this advice. This paper introduces a conceptual framework for tangible recommendations that influence users' bodies, routines, and well-being. We describe three design dimensions: trust and interpretation, intent alignment, and consequence awareness. These highlight key limitations in applying conventional recommender logic to embodied settings. Through examples and design reflections, we outline how future systems can support long-term well-being, behavioral alignment, and socially responsible personalization.
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