@inproceedings{218d4ff9770d4e6cb65e38b6aab49593,
title = "Personalizing Privacy Protection With Individuals' Regulatory Focus: Would You Preserve or Enhance Your Information Privacy?",
abstract = "In this study, we explore the effectiveness of persuasive messages endorsing the adoption of a privacy protection technology (IoT Inspector) tailored to individuals' regulatory focus (promotion or prevention). We explore if and how regulatory fit (i.e., tuning the goal-pursuit mechanism to individuals' internal regulatory focus) can increase persuasion and adoption. We conducted a between-subject experiment (N = 236) presenting participants with the IoT Inspector in gain ({"}Privacy Enhancing Technology{"}-PET) or loss ({"}Privacy Preserving Technology{"}-PPT) framing. Results show that the effect of regulatory fit on adoption is mediated by trust and privacy calculus processes: prevention-focused users who read the PPT message trust the tool more. Furthermore, privacy calculus favors using the tool when promotion-focused individuals read the PET message. We discuss the contribution of understanding the cognitive mechanisms behind regulatory fit in privacy decision-making to support privacy protection.",
keywords = "Framing effect, Personalized persuasion, Privacy, Regulatory fit",
author = "Anaraky, {Reza Ghaiumy} and Yao Li and Hichang Cho and Huang, {Danny Yuxing} and Byrne, {Kaileigh A.} and Bart Knijnenburg and Oded Nov",
note = "Publisher Copyright: {\textcopyright} 2024 Copyright held by the owner/author(s); 2024 CHI Conference on Human Factors in Computing Sytems, CHI 2024 ; Conference date: 11-05-2024 Through 16-05-2024",
year = "2024",
month = may,
day = "11",
doi = "10.1145/3613904.3642640",
language = "English (US)",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery",
booktitle = "CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems",
}