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Designing technology-mediated peer support for postgraduate research students at risk of loneliness and isolation

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posted on 2022-12-07, 15:45 authored by Daniel Harrison, Scarlett Rowland, Gavin Wood, Lyndsey Bakewell, Ioannis Petridis, Kiel Long, Konstantina Vasileiou, Julie Barnett, Manuela Barreto, Michael WilsonMichael Wilson, Shaun Lawson, John Vines
Student mental health and wellbeing have come under increased scrutiny in recent years. Postgraduate research (PGR) students are at risk of experiencing mental health concerns and this, with the often isolated and competitive nature of their work, can impact their sense of community and social connectedness. In response to these concerns, we designed Pears, a system to connect PGR students for regular “pearings” (in-person meetings) and provides activities to promote reflection and conversation. A four-week evaluation of Pears with 15 students highlighted its potential to sometimes, but not always, facilitate peer support. Some participants would instead meet formally and according to their needs, others instead used the system to make new social connections. Additionally, some participants who faced work-related difficulties during the study found using the system contributed to their stress levels. We conclude by noting how technologies that encourage peer support can help build social relationships, providing an avenue to share similar PhD experiences and guidance for those new to the experience, while importantly raising awareness and an understanding for the need to take time for self-care. However, these technologies must be utilised carefully, and are not a replacement for other sources of student support in universities.

Funding

Loneliness in the Digital Age (LIDA): Developing Strategies for Empathy and Trust

Economic and Social Research Council

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History

School

  • Design and Creative Arts

Department

  • Creative Arts

Published in

ACM Transactions on Computer-Human Interaction

Volume

30

Issue

1

Publisher

Association for Computing Machinery (ACM)

Version

  • AM (Accepted Manuscript)

Rights holder

© The owner/author(s)

Acceptance date

2022-05-01

Publication date

2022-08-17

Copyright date

2022

Notes

ACM have permitted the accepted manuscript version of this paper to be distributed under the Creative Commons Attribution (CC BY) licence to comply with the funder, ESRC’s, requirement for a CC BY licence. The final publisher’s PDF/Version of Record is not distributed under a Creative Commons licence and is © 2022 Copyright held by the owner/author(s). Publication rights licensed to ACM.

ISSN

1073-0516

eISSN

1557-7325

Language

  • en

Depositor

Prof Michael Wilson. Deposit date: 1 December 2022

Article number

10

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