mHealth and User Interaction Improvement by Personality Traits-Based Personalization

IF 0.5 Q4 COMPUTER SCIENCE, THEORY & METHODS
Jelena Avanesova, Jeļizaveta Lieldidža-Kolbina
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引用次数: 0

Abstract

Abstract During COVID-19 pandemic, interest in mHealth rose dramatically. An ample literature review was carried out to discover whether personality traits could be the basis for mHealth personalization for human-computer interaction improvement. Moreover, the study of three most popular mHealth applications was conducted to determine data collected by users. The results showed that personality traits affected communication and physical activity preferences, motivation, and application usage. mHealth personalization based on personality traits could suggest enjoyable physical activities and motivational communication. mHealth applications already process enough user information to enable seamless inference of personality traits.
基于个性特征的个性化改善移动健康和用户交互
在COVID-19大流行期间,人们对移动医疗的兴趣急剧上升。我们进行了大量的文献综述,以发现人格特征是否可以作为移动医疗个性化的基础,以改善人机交互。此外,对三种最流行的移动健康应用程序进行了研究,以确定用户收集的数据。结果表明,人格特质影响沟通和体育活动偏好、动机和应用程序使用。基于人格特征的移动医疗个性化可以建议愉快的体育活动和激励沟通。移动医疗应用程序已经处理了足够多的用户信息,可以无缝地推断出用户的性格特征。
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来源期刊
Applied Computer Systems
Applied Computer Systems COMPUTER SCIENCE, THEORY & METHODS-
自引率
10.00%
发文量
9
审稿时长
30 weeks
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