Conference item
How the design of YouTube influences user sense of agency
- Abstract:
- In the attention economy, video apps employ design mechanisms like autoplay that exploit psychological vulnerabilities to maximize watch time. Consequently, many people feel a lack of agency over their app use, which is linked to negative life effects such as loss of sleep. Prior design research has innovated external mechanisms that police multiple apps, such as lockout timers. In this work, we shift the focus to how the internal mechanisms of an app can support user agency, taking the popular YouTube mobile app as a test case. From a survey of 120 U.S. users, we find that autoplay and recommendations primarily undermine sense of agency, while playlists and search support it. From 13 co-design sessions, we find that when users have a specific intention for how they want to use YouTube they prefer interfaces that support greater agency. We discuss implications for how designers can help users reclaim a sense of agency over their media use.
- Publication status:
- Accepted
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Accepted manuscript, pdf, 7.7MB, Terms of use)
-
- Publisher copy:
- 10.1145/3411764.3445467
Authors
+ Directorate for Computer & Information Science & Engineering
More from this funder
- Funder identifier:
- https://ror.org/025kzpk63
- Publisher:
- Association for Computing Machinery
- Host title:
- Proceedings of the Conference on Human Factors in Computing Systems (CHI 2021)
- Article number:
- 368
- Publication date:
- 2021-05-07
- Acceptance date:
- 2021-01-12
- Event title:
- Conference on Human Factors in Computing Systems (CHI 2021)
- Event location:
- Yokohama, Japan
- Event website:
- https://chi2021.acm.org/
- Event start date:
- 2021-03-08
- Event end date:
- 2021-03-13
- DOI:
- ISBN:
- 978-1-4503-8096-6
- Language:
-
English
- Keywords:
- Pubs id:
-
1901217
- Local pid:
-
pubs:1901217
- Deposit date:
-
2024-09-21
Terms of use
- Copyright holder:
- Lukoff et al.
- Copyright date:
- 2021
- Rights statement:
- © 2021 Copyright held by the owner/author(s). Publication rights licensed to ACM
- Notes:
- This is the accepted manuscript version of the article. The final version is available online from Association for Computing Machinery at: https://dx.doi.org/10.1145/3411764.3445467
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