Evaluation of mobile applications for fitness training and physical activity in healthy low-trained people - A modular interdisciplinary framework

Q2 Computer Science
J. Wiemeyer
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引用次数: 5

Abstract

Abstract Numerous mobile applications are available that aim at supporting sustainable physical activity and fitness training in sedentary or low-trained healthy people. However, the evaluation of the quality of these applications often suffers from severe shortcomings such as reduction to selective aspects, lack of theory or suboptimal methods. What is still missing, is a framework that integrates the insights of the relevant scientific disciplines. In this paper, we propose an integrative framework comprising four modules: training, behavior change techniques, sensors and technology, and evaluation of effects. This framework allows to integrate insights from training science, exercise physiology, social psychology, computer science, and civil engineering as well as methodology. Furthermore, the framework can be flexibly adapted to the specific features of the mobile applications, e.g., regarding training goals and training methods or the relevant behavior change techniques as well as formative or summative evaluation.
评估健康低训练人群健身训练和身体活动的移动应用程序——模块化跨学科框架
许多移动应用程序旨在支持久坐或低训练的健康人群的可持续身体活动和健身训练。然而,这些应用程序的质量评估往往遭受严重的缺点,如减少选择性方面,缺乏理论或次优方法。现在仍然缺少的是一个整合相关科学学科见解的框架。在本文中,我们提出了一个由四个模块组成的综合框架:培训、行为改变技术、传感器和技术以及效果评估。这个框架可以整合训练科学、运动生理学、社会心理学、计算机科学和土木工程以及方法论的见解。此外,该框架可以灵活地适应移动应用程序的具体特征,例如,关于培训目标和培训方法或相关的行为改变技术以及形成性或总结性评估。
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
International Journal of Computer Science in Sport
International Journal of Computer Science in Sport Computer Science-Computer Science (all)
CiteScore
2.20
自引率
0.00%
发文量
4
审稿时长
12 weeks
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