ABSTRACT

Advances in technologies (e.g. smartphones, wearables) have resulted in the concept of ‘self-tracking’, and the use of self-tracking technologies in physical activity (i.e. fitness tracking) is on the rise. For example, many people track and monitor their fitness-related metrics (e.g. steps walked, distance ran, and calories burned) to change their behaviours or keep themselves active. Despite the widespread application of self-tracking in fitness, relatively little is known about its drivers and outcomes. To address this gap, the current paper provides an overview of the literature (empirical papers) on self-tracking with a focus on the drivers and outcomes of fitness tracking behaviour and offers four important contributions. First, it identifies 19 drivers of fitness tracking technology usage. Second, it discusses four main outcomes of fitness tracking behaviour. Third, by drawing on the existing studies conducted across various fitness tracking technologies (e.g. fitness trackers, apps) and user groups (e.g. patients, seniors, and females), it provides valuable insights that can be generalisable to other settings (e.g. other types of users and fitness tracking products). Finally, the current paper provides important practical implications and addresses avenues for future research.

摘要

技术（如智能手机、可穿戴设备）的进步产生了“自我跟踪”的概念，而自我跟踪技术在体育活动（即健身跟踪）中的使用正在上升。例如，许多人跟踪和监控与健身相关的指标（例如步行步数、跑步距离和消耗的卡路里）以改变他们的行为或保持活跃。尽管自我跟踪在健身中得到了广泛应用，但对其驱动因素和结果知之甚少。为了解决这一差距，本论文概述了关于自我跟踪的文献（实证论文），重点关注健身跟踪行为的驱动因素和结果，并提供了四个重要贡献。首先，它确定了健身追踪技术使用的 19 个驱动因素。第二，它讨论了健身追踪行为的四个主要结果。第三，通过利用对各种健身追踪技术（例如健身追踪器、应用程序）和用户群体（例如患者、老年人和女性）进行的现有研究，它提供了可以推广到其他环境（例如其他类型的用户和健身追踪产品）。最后，本论文提供了重要的实际意义，并为未来的研究提供了途径。