Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/17109
Title: Dark Patterns in Proxemic Interactions: A Critical Perspective
Authors: Greenberg, Saul
Boring, Sebastian
VERMEULEN, Jo 
Dostal, Jakub
Issue Date: 2014
Publisher: ACM
Source: Proceedings of the ACM conference on Designing Interactive Systems (DIS), p. 523-532
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.
Keywords: dark patterns; anti-patterns; proxemic interactions
Document URI: http://hdl.handle.net/1942/17109
ISBN: 9781450329026
DOI: 10.1145/2598510.2598541
Rights: Copyright is held by the owner/author(s). Publication rights licensed to ACM. ACM 978-1-4503-2902-6/14/06…$15.00. http://dx.doi.org/10.1145/2598510.2598541 ACM
Category: C1
Type: Proceedings Paper
Validations: vabb 2018
Appears in Collections:Research publications

Files in This Item:
File Description SizeFormat 
p523-greenberg.pdf
  Restricted Access
Published version3.9 MBAdobe PDFView/Open    Request a copy
Show full item record

SCOPUSTM   
Citations

35
checked on Sep 2, 2020

Page view(s)

28
checked on Sep 7, 2022

Download(s)

12
checked on Sep 7, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.