TY - JOUR
T1 - Privacy concerns in mobile technology
T2 - Can interactivity reduce friction?
AU - Jung, Yongnam
AU - Bao, Jiaqi (Agnes)
AU - Norman, Megan Pietruszewski
AU - Sundar, S. Shyam
N1 - Publisher Copyright:
© 2024 Elsevier Ltd
PY - 2025/1
Y1 - 2025/1
N2 - 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.
AB - 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.
KW - Interactive design
KW - Message interactivity
KW - Perceived contingency
KW - Privacy calculus
KW - Technology adoption
UR - https://www.scopus.com/pages/publications/85203410644
U2 - 10.1016/j.chb.2024.108421
DO - 10.1016/j.chb.2024.108421
M3 - Article
AN - SCOPUS:85203410644
SN - 0747-5632
VL - 162
JO - Computers in Human Behavior
JF - Computers in Human Behavior
M1 - 108421
ER -