Conference item
‘I just want to hack myself to not get distracted’: Evaluating design interventions for self-control on Facebook
- Abstract:
- Beyond being the world's largest social network, Facebook is for many also one of its greatest sources of digital distraction. For students, problematic use has been associated with negative effects on academic achievement and general wellbeing. To understand what strategies could help users regain control, we investigated how simple interventions to the Facebook UI affect behaviour and perceived control. We assigned 58 university students to one of three interventions: goal reminders, removed newsfeed, or white background (control). We logged use for 6 weeks, applied interventions in the middle weeks, and administered fortnightly surveys. Both goal reminders and removed newsfeed helped participants stay on task and avoid distraction. However, goal reminders were often annoying, and removing the newsfeed made some fear missing out on information. Our findings point to future interventions such as controls for adjusting types and amount of available information, and flexible blocking which matches individual definitions of 'distraction'.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Accepted manuscript, pdf, 1.1MB, Terms of use)
-
- Publisher copy:
- 10.1145/3313831.3376672
Authors
- Publisher:
- Association for Computing Machinery
- Host title:
- ACM CHI Conference on Human Factors in Computing Systems
- Journal:
- CHI Conference Proceedings More from this journal
- Publication date:
- 2020-04-01
- Acceptance date:
- 2020-01-10
- Event location:
- Honolulu, HI, USA
- Event start date:
- 2020-04-25
- Event end date:
- 2020-04-30
- DOI:
- ISBN:
- 9781450367080
- Language:
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English
- Keywords:
- Pubs id:
-
pubs:1082415
- UUID:
-
uuid:2dc271df-4863-45a9-946a-fd115341df3e
- Local pid:
-
pubs:1082415
- Source identifiers:
-
1082415
- Deposit date:
-
2020-01-14
Terms of use
- Copyright holder:
- Association for Computing Machinery
- Copyright date:
- 2020
- Rights statement:
- © 2020 Association for Computing Machinery.
- Notes:
-
This is the accepted manuscript version of the article. The final version is available from Association for Computing Machinery at https://doi.org/10.1145/3313831.3376672
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