Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/64366

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

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dc.contributor.author Choi, Daeeun
dc.contributor.author Lowry, Paul
dc.contributor.author Wang, Alan
dc.date.accessioned 2020-01-04T08:14:07Z
dc.date.available 2020-01-04T08:14:07Z
dc.date.issued 2020-01-07
dc.identifier.isbn 978-0-9981331-3-3
dc.identifier.uri http://hdl.handle.net/10125/64366
dc.description.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.
dc.format.extent 10 pages
dc.language.iso eng
dc.relation.ispartof Proceedings of the 53rd Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Advances in Design Science Research
dc.subject cognitive dissonance theory
dc.subject design science research
dc.subject internet of things
dc.subject privacy and security risk control balance theory
dc.subject privacy and security risk scores
dc.title The Design of Personal Privacy and Security Risk Scores for Minimizing Consumers' Cognitive Gaps in IoT Settings
dc.type Conference Paper
dc.type.dcmi Text
dc.identifier.doi 10.24251/HICSS.2020.624
Appears in Collections: Advances in Design Science Research


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