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The Design of Personal Privacy and Security Risk Scores for Minimizing Consumers' Cognitive Gaps in IoT Settings

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Title:The Design of Personal Privacy and Security Risk Scores for Minimizing Consumers' Cognitive Gaps in IoT Settings
Authors:Choi, Daeeun
Lowry, Paul
Wang, Alan
Keywords:Advances in Design Science Research
cognitive dissonance theory
design science research
internet of things
privacy and security risk control balance theory
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Date Issued:07 Jan 2020
Abstract:The advent of Internet of Things (IoT) technology exponentially increases the collection of new information types in consumers’ lives from various sensors. However, many consumers do not fully recognize the potential privacy and security risks (PSR) associated with IoT. Those who are aware rarely take action to protect their personal information because of a cognitive gap between PSR and its impact. To address this problem, we propose a design framework for evaluating and quantifying IoT PSRs related to IoT adoption. Grounded in the cognitive dissonance theory (CDT) and information processing theory (IPT), the proposed framework defines IoT PSR scores and proposes a visual representation for improving consumers’ awareness of PSRs. Furthermore, we suggest a PSR control balance theory (PSR-CBT) to explicate the consumers’ two internal power conflicts. The proposed PSR scores can reduce consumers’ cognitive gaps, and thus, help them make informed purchase decisions toward IoT devices and services.
Pages/Duration:10 pages
URI:http://hdl.handle.net/10125/64366
ISBN:978-0-9981331-3-3
DOI:10.24251/HICSS.2020.624
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Advances in Design Science Research


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