Personalised recommendations in mental health Apps: the impact of autonomy and data sharing
File(s)CHI2021_Camera_Ready.pdf (1.21 MB)
Accepted version
Author(s)
Pieritz, Svenja
Khwaja, Mohammed
Faisal, Aldo
Matic, Aleksandar
Type
Conference Paper
Abstract
The recent growth of digital interventions for mental well-being prompts a call-to-arms to explore the delivery of personalised recommendations from a user's perspective. In a randomised placebo study with a two-way factorial design, we analysed the difference between an autonomous user experience as opposed to personalised guidance, with respect to both users’ preference and their actual usage of a mental well-being app. Furthermore, we explored users’ preference in sharing their data for receiving personalised recommendations, by juxtaposing questionnaires and mobile sensor data. Interestingly, self-reported results indicate the preference for personalised guidance, whereas behavioural data suggests that a blend of autonomous choice and recommended activities results in higher engagement. Additionally, although users reported a strong preference of filling out questionnaires instead of sharing their mobile data, the data source did not have any impact on the actual app use. We discuss the implications of our findings and provide takeaways for designers of mental well-being applications.
Date Issued
2021-05-01
Date Acceptance
2021-01-12
Citation
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, 2021, pp.1-12
ISBN
9781450380966
Publisher
ACM
Start Page
1
End Page
12
Journal / Book Title
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Copyright Statement
© 2021 ACM. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems May 2021
Sponsor
Telefonica Innovacion Alpha S.L
Grant Number
BMPF_P75038
Source
ACM Conference on Human Factors in Computing Systems (CHI)
Publication Status
Published
Start Date
2021-05-08
Coverage Spatial
Yokohama, Japan