The dark patterns of proxemic sensing

Sebastian Boring; Saul Greenberg; Jo Vermeulen; Jakub Dostal; Nicolai Marquardt

doi:10.1109/MC.2014.223

The dark patterns of proxemic sensing

Sebastian Boring, Saul Greenberg, Jo Vermeulen, Jakub Dostal, Nicolai Marquardt

Department of Computer Science

2 Citations (Scopus)

2 Downloads (Pure)

Abstract

To be accepted and trusted by the public, proxemic sensing systems must respect people's conception of physical space, make it easy to opt in or out, and benefit users as well as advertisers and other vendors.

Original language	English
Journal	Computer
Volume	47
Issue number	8
Pages (from-to)	56-60
Number of pages	5
ISSN	0018-9162
DOIs	https://doi.org/10.1109/MC.2014.223
Publication status	Published - 2014

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10.1109/MC.2014.223

The dark patterns of proxemic sensingFinal published version, 2.81 MB

Cite this

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title = "The dark patterns of proxemic sensing",

abstract = "To be accepted and trusted by the public, proxemic sensing systems must respect people's conception of physical space, make it easy to opt in or out, and benefit users as well as advertisers and other vendors.",

author = "Sebastian Boring and Saul Greenberg and Jo Vermeulen and Jakub Dostal and Nicolai Marquardt",

year = "2014",

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AU - Dostal, Jakub

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