Yongnam Jung , Jiaqi Agnes Bao , Megan Pietruszewski Norman , S. Shyam Sundar
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引用次数: 0
Abstract
Many, if not most, mobile applications tend to elicit personal information from users to offer personalized services. However, users may not be comfortable with such intrusiveness and therefore hesitate to download or adopt a new app even when its use could be beneficial to their health and well-being. To overcome this friction and help users make informed decisions, we propose message interactivity as a solution. Guided by privacy calculus, the theory of interactive media effects (TIME), and the elaboration likelihood model (ELM), we conducted a 4-condition, pre-registered online between-subjects experiment (N = 305) to assess the effect of message interactivity on attitudes and behavioral intentions pertaining to information disclosure in mobile health apps. Data indicate a significant positive effect via three serial mediators, including perceived contingency, elaboration, and perceived benefits. Theoretical and practical implications are discussed.
期刊介绍：
Computers in Human Behavior is a scholarly journal that explores the psychological aspects of computer use. It covers original theoretical works, research reports, literature reviews, and software and book reviews. The journal examines both the use of computers in psychology, psychiatry, and related fields, and the psychological impact of computer use on individuals, groups, and society. Articles discuss topics such as professional practice, training, research, human development, learning, cognition, personality, and social interactions. It focuses on human interactions with computers, considering the computer as a medium through which human behaviors are shaped and expressed. Professionals interested in the psychological aspects of computer use will find this journal valuable, even with limited knowledge of computers.
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