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SwitchTube: a proof-of-concept system introducing “adaptable commitment interfaces” as a tool for digital wellbeing

Abstract:
YouTube has many features, such as homepage recommendations, that encourage users to explore its vast library of videos. However, when users visit YouTube with a specific intention, e.g., learning how to program in Python, these features to encourage exploration are often distracting. Prior work has innovated ‘commitment interfaces’ that restrict social media but finds that they often indiscriminately block needed content. In this paper, we describe the design, development, and evaluation of an ‘adaptable commitment interface,’ the SwitchTube mobile app, in which users can toggle between two interfaces when watching YouTube videos: Focus Mode (search-first) and Explore Mode (recommendations-first). In a three-week field deployment with 46 US participants, we evaluate how the ability to switch between interfaces affects user experience, finding that it provides users with a greater sense of agency, satisfaction, and goal alignment. We conclude with design implications for how adaptable commitment interfaces can support digital wellbeing.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1145/3544548.3580703

Authors

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Oxford college:
Linacre College
Role:
Author
ORCID:
0000-0001-9960-1436


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Funder identifier:
https://ror.org/01kpjmx04
Grant:
CF20-0678
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Funder identifier:
https://ror.org/021nxhr62
Grant:
1849955


Publisher:
Association for Computing Machinery
Host title:
CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
Article number:
197
Publication date:
2023-04-19
Acceptance date:
2023-01-16
Event title:
2023 CHI Conference on Human Factors in Computing Systems (CHI 2023)
Event location:
Hamburg, Germany
Event website:
https://chi2023.acm.org/
Event start date:
2023-04-23
Event end date:
2023-04-28
DOI:
ISBN:
9781450394215


Language:
English
Keywords:
Pubs id:
1775023
Local pid:
pubs:1775023
Deposit date:
2024-09-21
ARK identifier:

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