Conference item
Mobile sensing and engagement features in arabic mental well-being apps: systematic search and analysis
- Abstract:
- Various mobile apps have been released to track and promote mental health and well-being. Despite the high interest in developing these apps, they suffer from high attrition rates. These apps have limited utility if they are delivered in a manner that does not maintain individuals' engagement. Engagement features are therefore a critical factor to consider for fostering intended benefits. While there is considerable research on analysing the engagement features of these apps available in English, our understanding of engagement features in such Arabic apps is limited. Moreover, much less is known about mobile sensing in Arabic apps. To address this gap, we systematically searched app stores, identified 110 apps available in Arabic, and analyzed their features based on existing mHealth assessment frameworks. Our analysis found that available Arabic apps poorly implemented engagement features, apart from basic features such as sharing and reminders. Surprisingly, Arabic apps missed mobile sensing capabilities and AI applications. This paper highlights the importance of employing mobile sensing and persuasive design principles in the future design of Arabic apps.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
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(Preview, Accepted manuscript, pdf, 594.4KB, Terms of use)
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- Publisher copy:
- 10.1145/3594739.3612875
Authors
- Publisher:
- Association for Computing Machinery
- Host title:
- Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing (UbiComp / ISWC 2023)
- Journal:
- Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing More from this journal
- Pages:
- 626-631
- Publication date:
- 2023-10-08
- Acceptance date:
- 2023-07-01
- Event title:
- 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing (UbiComp / ISWC 2023)
- Event location:
- Cancún, Mexico
- Event website:
- https://www.ubicomp.org/ubicomp-iswc-2023/
- Event start date:
- 2023-10-08
- Event end date:
- 2023-10-12
- DOI:
- ISBN:
- 9798400702006
- Language:
-
English
- Keywords:
- Pubs id:
-
1561216
- Local pid:
-
pubs:1561216
- Deposit date:
-
2024-04-24
- ARK identifier:
Terms of use
- Copyright holder:
- Association for Computing Machinery
- Copyright date:
- 2023
- Rights statement:
- © 2023 ACM. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].
- Notes:
- This paper was presented at the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing (UbiComp / ISWC 2023), 8th-12th October 2023, Cancún, Mexico. 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/10.1145/3594739.3612875| This is the accepted manuscript version of the article. The final version is available online from Association for Computing Machinery at https://doi.org/10.1145/3594739.3612875
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