Run for the group: Examining the effects of group-level social interaction features of fitness apps on exercise participation

IF 6.7 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
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引用次数: 0

Abstract

Mobile fitness apps have gained popularity as a way of improving healthy behaviors. This study investigates the design and influence of fitness apps from a novel “group” perspective, focusing on the effects of group-level social interaction features in exercise participation. Through empirical studies on a unique dataset, we propose and verify a conceptual framework that shows that (1) group role model inspiration and group comparison features facilitate the intra-group assimilation and inter-group contrast processes and further significantly improve group participation, and that (2) offline activities moderate the effects of group comparison features on group participation. This study contributes to the literature on online communities and fitness apps/service design by demonstrating the motivating power of group-level interactions and online–offline engagement. It also provides practical guidelines for fitness app developers.

为集体而跑:研究健身应用程序的群体社交互动功能对运动参与的影响
作为改善健康行为的一种方式,移动健身应用程序已广为流行。本研究从一个新颖的 "群体 "视角来研究健身应用程序的设计和影响,重点关注群体层面的社会互动功能对运动参与的影响。通过对一个独特数据集的实证研究,我们提出并验证了一个概念框架,该框架表明:(1) 群体榜样激励和群体对比功能促进了群体内同化和群体间对比过程,并进一步显著提高了群体参与度;(2) 离线活动缓和了群体对比功能对群体参与度的影响。本研究通过展示群体层面的互动和线上线下参与的激励力量,为在线社区和健身应用程序/服务设计方面的文献做出了贡献。它还为健身应用程序开发人员提供了实用指南。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Decision Support Systems
Decision Support Systems 工程技术-计算机:人工智能
CiteScore
14.70
自引率
6.70%
发文量
119
审稿时长
13 months
期刊介绍: The common thread of articles published in Decision Support Systems is their relevance to theoretical and technical issues in the support of enhanced decision making. The areas addressed may include foundations, functionality, interfaces, implementation, impacts, and evaluation of decision support systems (DSSs).
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