What makes XR dark? Examining emerging dark patterns in augmented and virtual reality through expert co-design (original) (raw)
Krauss, Veronika, Saeghe, Pejman, Boden, Alexander, Khamis, Mohamed ORCID: https://orcid.org/0000-0001-7051-5200, McGill, Mark, Gugenheimer, Jan and Nebeling, Michael(2024) What makes XR dark? Examining emerging dark patterns in augmented and virtual reality through expert co-design.ACM Transactions on Computer-Human Interaction, (doi: 10.1145/3660340) (Early Online Publication)
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Text 322586.pdf - Accepted Version 1MB |
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Abstract
Dark Patterns are deceptive designs that influence a user's interactions with an interface to benefit someone other than the user. Prior work has identified dark patterns in WIMP interfaces and ubicomp environments, but how dark patterns can manifest in Augmented and Virtual Reality (collectively XR) requires more attention. We therefore conducted ten co-design workshops with 20 experts in XR and deceptive design. Our participants co-designed 42 scenarios containing dark patterns, based on application archetypes presented in recent HCI/XR literature. In the co-designed scenarios, we identified ten novel dark patterns in addition to 39 existing ones, as well as ten examples in which specific characteristics associated with XR potentially amplified the effect dark patterns could have on users. Based on our findings and prior work, we present a classification of XR-specific properties that facilitate dark patterns: perception, spatiality, physical/virtual barriers, and XR device sensing. We also present the experts’ assessments of the likelihood and severity of the co-designed scenarios and highlight key aspects they considered for this evaluation, for example, technological feasibility, ease of upscaling and distributing malicious implementations, and the application's context of use. Finally, we discuss means to mitigate XR dark patterns and support regulatory bodies to reduce potential harms.
| Item Type: | Articles |
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| Status: | Early Online Publication |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Saeghe, Dr Pejman and Khamis, Professor Mohamed and McGill, Dr Mark |
| Authors: | Krauss, V., Saeghe, P., Boden, A., Khamis, M., McGill, M., Gugenheimer, J., and Nebeling, M. |
| College/School: | College of Science and Engineering > School of Computing Science |
| Journal Name: | ACM Transactions on Computer-Human Interaction |
| Publisher: | ACM |
| ISSN: | 1073-0516 |
| ISSN (Online): | 1557-7325 |
| Published Online: | 22 April 2024 |
| Copyright Holders: | Copyright © 2024 The Authors |
| First Published: | First published in ACM Transactions on Computer-Human Interaction 2024 |
| Publisher Policy: | Reproduced in accordance with the copyright policy of the publisher |
University Staff: Request a correction | Enlighten Editors: Update this record
Deposit and Record Details
| ID Code: | 322586 |
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| Depositing User: | Dr Aniko Szilagyi |
| Datestamp: | 13 Mar 2024 10:40 |
| Last Modified: | 17 May 2024 14:57 |
| Date of acceptance: | 11 March 2024 |
| Date of first online publication: | 22 April 2024 |
| Date Deposited: | 29 April 2024 |
| Data Availability Statement: | No |