Ayobi, Amid;
Eardley, Rachel;
Soubutts, Ewan;
Gooberman-Hill, Rachael;
Craddock, Ian;
O'Kane, Aisling Ann;
(2022)
Digital Mental Health and Social Connectedness.
Proceedings of the ACM on Human-Computer Interaction
, 6
(CSCW2)
, Article 507. 10.1145/3555620.
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Abstract
A detailed understanding of the mental health needs of people from refugee backgrounds is crucial for the design of inclusive mental health technologies. We present a qualitative account of the digital mental health experiences of women from refugee backgrounds. Working with community members and community workers of a charitable organisation for refugee women in the UK, we identify social and structural challenges, including loneliness and access to mental health technologies. Participants' accounts document their collective agency in addressing these challenges and supporting social connectedness and personal wellbeing in daily life: participants reported taking part in community activities as volunteers, sharing technological expertise, and using a wide range of non-mental health-focused technologies to support their mental health, from playing games to supporting religious practices. Our findings suggest that, rather than focusing only on individual self-care, research also needs to leverage community-driven approaches to foster social mental health experiences, from altruism to connectedness and belonging.
| Type: | Article |
|---|---|
| Title: | Digital Mental Health and Social Connectedness |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1145/3555620 |
| Publisher version: | https://doi.org/10.1145/3555620 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10159916 |
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