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

^*Corresponding author for this work

School of Computer Science

Research output: Contribution to journal › Article › peer-review

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

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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",

month = aug,

doi = "10.1109/MC.2014.223",

language = "English",

volume = "47",

pages = "56--60",

journal = "IEEE Computer",

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AU - Boring, Sebastian

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AU - Vermeulen, Jo

AU - Dostal, Jakub

AU - Marquardt, Nicolai

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Y1 - 2014/8

N2 - 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.

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DO - 10.1109/MC.2014.223

M3 - Article

SN - 0018-9162

VL - 47

SP - 56

EP - 60

JO - IEEE Computer

JF - IEEE Computer

IS - 8

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The dark patterns of proxemic sensing

Abstract

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