I Want My App That Way: Reclaiming Sovereignty over Personal Devices

Konrad Kollnig; Siddhartha Datta; Max Van Kleek

doi:10.1145/3411763.3451632

I Want My App That Way: Reclaiming Sovereignty over Personal Devices

Konrad Kollnig^*, Siddhartha Datta, Max Van Kleek

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

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Abstract

Dark patterns in mobile apps take advantage of cognitive biases of end-users and can have detrimental effects on people's lives. Despite growing research in identifying remedies for dark patterns and established solutions for desktop browsers, there exists no established methodology to reduce dark patterns in mobile apps. Our work introduces GreaseDroid, a community-driven app modification framework enabling non-expert users to disable dark patterns in apps selectively.

Original language	English
Title of host publication	Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, CHI EA 2021
Publisher	Association for Computing Machinery
Number of pages	8
ISBN (Electronic)	9781450380959
DOIs	https://doi.org/10.1145/3411763.3451632
Publication status	Published - 8 May 2021
Externally published	Yes
Event	2021 CHI Conference on Human Factors in Computing Systems: Making Waves, Combining Strengths, CHI EA 2021 - Virtual, Online, Japan Duration: 8 May 2021 → 13 May 2021 https://chi2021.acm.org/

Publication series

Series	Conference on Human Factors in Computing Systems. Proceedings

Conference

Conference	2021 CHI Conference on Human Factors in Computing Systems: Making Waves, Combining Strengths, CHI EA 2021
Country/Territory	Japan
Period	8/05/21 → 13/05/21
Internet address	https://chi2021.acm.org/

Keywords

dark patterns
digital distraction
digital self-control
mobile app
program repair

Access to Document

10.1145/3411763.3451632

Full TextFinal published version, 1.11 MBLicence: Taverne

Cite this

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title = "I Want My App That Way: Reclaiming Sovereignty over Personal Devices",

abstract = "Dark patterns in mobile apps take advantage of cognitive biases of end-users and can have detrimental effects on people's lives. Despite growing research in identifying remedies for dark patterns and established solutions for desktop browsers, there exists no established methodology to reduce dark patterns in mobile apps. Our work introduces GreaseDroid, a community-driven app modification framework enabling non-expert users to disable dark patterns in apps selectively.",

keywords = "dark patterns, digital distraction, digital self-control, mobile app, program repair",

author = "Konrad Kollnig and Siddhartha Datta and {Van Kleek}, Max",

note = "Publisher Copyright: {\textcopyright} 2021 ACM.; 2021 CHI Conference on Human Factors in Computing Systems: Making Waves, Combining Strengths, CHI EA 2021 ; Conference date: 08-05-2021 Through 13-05-2021",

year = "2021",

month = may,

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doi = "10.1145/3411763.3451632",

language = "English",

series = "Conference on Human Factors in Computing Systems. Proceedings",

publisher = "Association for Computing Machinery",

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}

Kollnig, K, Datta, S & Van Kleek, M 2021, I Want My App That Way: Reclaiming Sovereignty over Personal Devices. in Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, CHI EA 2021. Association for Computing Machinery, Conference on Human Factors in Computing Systems. Proceedings, 2021 CHI Conference on Human Factors in Computing Systems: Making Waves, Combining Strengths, CHI EA 2021, Japan, 8/05/21. https://doi.org/10.1145/3411763.3451632

I Want My App That Way: Reclaiming Sovereignty over Personal Devices. / Kollnig, Konrad; Datta, Siddhartha; Van Kleek, Max.
Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, CHI EA 2021. Association for Computing Machinery, 2021. (Conference on Human Factors in Computing Systems. Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

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AB - Dark patterns in mobile apps take advantage of cognitive biases of end-users and can have detrimental effects on people's lives. Despite growing research in identifying remedies for dark patterns and established solutions for desktop browsers, there exists no established methodology to reduce dark patterns in mobile apps. Our work introduces GreaseDroid, a community-driven app modification framework enabling non-expert users to disable dark patterns in apps selectively.

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BT - Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, CHI EA 2021

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I Want My App That Way: Reclaiming Sovereignty over Personal Devices

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Keywords

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