Dark patterns in proxemic interactions: a critical perspective
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Dark patterns in proxemic interactions : a critical perspective. / Greenberg, Saul; Boring, Sebastian; Vermeulen, Jo; Dostal, Jakub.
Proceedings of the 2014 conference on Designing Interactive Systems. Association for Computing Machinery, 2014. p. 523-532.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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TY - GEN
T1 - Dark patterns in proxemic interactions
AU - Greenberg, Saul
AU - Boring, Sebastian
AU - Vermeulen, Jo
AU - Dostal, Jakub
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
U2 - 10.1145/2598510.2598541
DO - 10.1145/2598510.2598541
M3 - Article in proceedings
SP - 523
EP - 532
BT - Proceedings of the 2014 conference on Designing Interactive Systems
PB - Association for Computing Machinery
Y2 - 21 June 2014 through 25 June 2014
ER -
ID: 161586715