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Tapping into Privacy: A Study of User Preferences and Concerns on Trigger-Action Platforms
Chalmers University of Technology, Sweden.
Chalmers University of Technology, Sweden.
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0003-2823-3837
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0002-6938-4466
2023 (English)In: 20th Annual International Conference on Privacy, Security and Trust (PST), Institute of Electrical and Electronics Engineers (IEEE), 2023, p. 1-12Conference paper, Published paper (Refereed)
Abstract [en]

The Internet of Things (IoT) devices are rapidly increasing in popularity, with more individuals using Internet-connected devices that continuously monitor their activities. This work explores privacy concerns and expectations of end-users related to Trigger-Action platforms (TAPs) in the context of the Internet of Things (IoT). TAPs allow users to customize their smart environments by creating rules that trigger actions based on specific events or conditions. As personal data flows between different entities, there is a potential for privacy concerns. In this study, we aimed to identify the privacy factors that impact users’ concerns and preferences for using IoT TAPs. To address this research objective, we conducted three focus groups with 15 participants and we extracted nine themes related to privacy factors using thematic analysis. Our participants particularly prefer to have control and transparency over the automation and are concerned about unexpected data inferences, risks and unforeseen consequences for themselves and for bystanders that are caused by the automation. The identified privacy factors can help researchers derive predefined and selectable profiles of privacy permission settings for IoT TAPs that represent the privacy preferences of different types of users as a basis for designing usable privacy controls for IoT TAPs. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2023. p. 1-12
Keywords [en]
User profile; Condition; Dataflow; End-users; Focus groups; Privacy; Privacy concerns; Privacy preferences; Smart environment; Trigger-action platform; User’s preferences; Internet of things
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-97902DOI: 10.1109/PST58708.2023.10320180Scopus ID: 2-s2.0-85179547300ISBN: 979-8-3503-1387-1 (electronic)ISBN: 979-8-3503-1388-8 (print)OAI: oai:DiVA.org:kau-97902DiVA, id: diva2:1823906
Conference
20th Annual International Conference on Privacy, Security and Trust, PST, Copenhagen, Denmark, August 21-23, 2023.
Funder
Knowledge FoundationKnut and Alice Wallenberg FoundationAvailable from: 2024-01-03 Created: 2024-01-03 Last updated: 2024-01-03Bibliographically approved

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Karegar, FarzanehFischer-Hübner, Simone

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