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首页> 外文期刊>Computers in Human Behavior >Understanding persistence in the use of Online Fitness Communities: Comparing novice and experienced users
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Understanding persistence in the use of Online Fitness Communities: Comparing novice and experienced users

机译:了解在线健身社区使用的持久性:比较新手和有经验的用户

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摘要

Mobile and wearable technologies facilitate physiological data collection for health and wellness purposes. Users typically access these data via Online Fitness Community (OFC) platforms (e.g., Fitbit, Strava, RunKeeper). These platforms present users with functionalities centered on self-monitoring, social networking and enjoyment. In order to fully benefit from these functionalities, users need to make a habit out of integrating OFC use into their everyday workout routines. However, research suggests that users often fail to use OFCs over a longer period of time. This study sheds light on the factors that explain persisted OFC use. To that end, the study compares novice and experienced users in terms of their OFC use motives and how these motives contribute to the habitual integration of OFCs into everyday workout routines. Based on the survey responses of 394 OFC users, a multi-sample structural equation model indicates that self-regulatory and social motives directly predict habitual OFC use, and that enjoyment and self-regulatory motives indirectly predict habitual OFC use, by driving the perceived usefulness of OFCs. Moderation analysis revealed that, for novice users, self-regulatory motives are the prime drivers of habitual OFC use, while social motives and enjoyment are more important for experienced users. (C) 2016 Elsevier Ltd. All rights reserved.
机译:移动和可穿戴技术促进了出于健康和保健目的的生理数据收集。用户通常通过在线健身社区(OFC)平台(例如Fitbit,Strava,RunKeeper)访问这些数据。这些平台为用户提供了围绕自我监控,社交网络和娱乐的功能。为了充分利用这些功能,用户需要养成习惯,不要将OFC的使用融入他们的日常锻炼程序中。但是,研究表明,用户通常在较长的时间内无法使用OFC。这项研究揭示了解释持续使用OFC的因素。为此,该研究比较了新手和有经验的用户的OFC使用动机,以及这些动机如何有助于将OFC习惯性地整合到日常锻炼程序中。基于对394名OFC用户的调查反馈,多样本结构方程模型表明,自我调节和社会动机直接预测习惯性OFC使用,而娱乐和自我调节动机通过驱动感知的有用性间接预测习惯性OFC使用。 OFC。适度分析显示,对于新手用户而言,自我调节的动机是习惯性OFC使用的主要驱动力,而社交动机和娱乐对于有经验的用户则更为重要。 (C)2016 Elsevier Ltd.保留所有权利。

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