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Dark patterns in proxemic interactions : a critical perspective

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Dostal_2014_DIS_Dark.pdf (3.374Mb)
Date
21/06/2014
Author
Greenberg, S.
Boring, S.
Vermeulen, J.
Dostal, J.
Keywords
QA75 Electronic computers. Computer science
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Abstract
Proxemics theory explains peoples' use of interpersonal distances to mediate their social interactions with others. Within Ubicomp, proxemic interaction researchers argue that people have a similar social understanding of their spatial relations with nearby digital devices, which can be exploited to better facilitate seamless and natural interactions. To do so, both people and devices are tracked to determine their spatial relationships. While interest in proxemic interactions has increased over the last few years, it also has a dark side: knowledge of proxemics may (and likely will) be easily exploited to the detriment of the user. In this paper, we offer a critical perspective on proxemic interactions in the form of dark patterns: ways proxemic interactions can be misused. We discuss a series of these patterns and describe how they apply to these types of interactions. In addition, we identify several root problems that underlie these patterns and discuss potential solutions that could lower their harmfulness.
Citation
Greenberg , S , Boring , S , Vermeulen , J & Dostal , J 2014 , Dark patterns in proxemic interactions : a critical perspective . in Proceedings of the 2014 Conference on Designing Interactive Systems : Processes, Practices, Methods, and Techniques, DIS . ACM , New York , pp. 523-532 . https://doi.org/10.1145/2598510.2598541
Publication
Proceedings of the 2014 Conference on Designing Interactive Systems
DOI
https://doi.org/10.1145/2598510.2598541
Type
Conference item
Rights
© Owner/Author | ACM 2104. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in DIS '14 Proceedings of the 2014 conference on Designing interactive systems, http://dx.doi.org/10.1145/2598510.2598541.
Description
Additional grant funding by NSERC, SMART and AITF
Collections
  • University of St Andrews Research
URI
http://hdl.handle.net/10023/5219

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