Loneliness in older people and COVID-19: Applying the social identity approach to digital intervention design
dc.contributor.author | Stuart, A | |
dc.contributor.author | Katz, D | |
dc.contributor.author | Stevenson, C | |
dc.contributor.author | Gooch, D | |
dc.contributor.author | Harkin, L | |
dc.contributor.author | Bennasar, M | |
dc.contributor.author | Sanderson, L | |
dc.contributor.author | Liddle, J | |
dc.contributor.author | Bennaceur, A | |
dc.contributor.author | Levine, M | |
dc.contributor.author | Mehta, V | |
dc.contributor.author | Wijesundara, A | |
dc.contributor.author | Talbot, CV | |
dc.contributor.author | Bandara, A | |
dc.contributor.author | Price, B | |
dc.contributor.author | Nuseibeh, B | |
dc.date.accessioned | 2022-02-23T09:33:28Z | |
dc.date.issued | 2022-02-25 | |
dc.date.updated | 2022-02-23T09:10:15Z | |
dc.description.abstract | The COVID-19 pandemic is worsening loneliness for many older people through the challenges it poses in engaging with their social worlds. Digital technology has been offered as a potential aid, however, many popular digital tools have not been designed to address the needs of older adults during times of limited contact. We propose that the Social Identity Model of Identity Change (SIMIC) could be a foundation for digital loneliness interventions. While SIMIC is a well-established approach for maintaining wellbeing during life transitions, it has not been rigorously applied to digital interventions. There are known challenges to integrating psychological theory in the design of digital technology to enable efficacy, technology acceptance, and continued use. The interdisciplinary field of Human Computer Interaction has a history of drawing on models originating from psychology to improve the design of digital technology and to design technologies in an appropriate manner. Drawing on key lessons from this literature, we consolidate research and design guidelines for multidisciplinary research applying psychological theory such as SIMIC to digital social interventions for loneliness. | en_GB |
dc.description.sponsorship | Engineering and Physical Sciences Research Council (EPSRC) | en_GB |
dc.description.sponsorship | Science Foundation Ireland | en_GB |
dc.description.sponsorship | Australian Research Council (ARC) | en_GB |
dc.identifier.citation | Vol. 6, article 100179 | en_GB |
dc.identifier.doi | 10.1016/j.chbr.2022.100179 | |
dc.identifier.grantnumber | EP/V027263/1 | en_GB |
dc.identifier.grantnumber | EP/R013144/1 | en_GB |
dc.identifier.grantnumber | 13/RC/2094 | en_GB |
dc.identifier.grantnumber | 16/SP/3804 | en_GB |
dc.identifier.grantnumber | CE140100041 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/128870 | |
dc.identifier | ORCID: 0000-0001-7711-6149 (Stuart, Avelie) | |
dc.language.iso | en_US | en_GB |
dc.publisher | Elsevier | en_GB |
dc.rights | © 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). | en_GB |
dc.subject | wellbeing | en_GB |
dc.subject | loneliness | en_GB |
dc.subject | digital connections | en_GB |
dc.subject | user-centred design | en_GB |
dc.subject | social cure | en_GB |
dc.subject | social identity | en_GB |
dc.subject | multidisciplinary | en_GB |
dc.title | Loneliness in older people and COVID-19: Applying the social identity approach to digital intervention design | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2022-02-23T09:33:28Z | |
dc.identifier.issn | 0747-5632 | |
dc.description | This is the final version. Available on open access from Elsevier via the DOI in this record | en_GB |
dc.identifier.journal | Computers in Human Behavior Reports | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2022-02-22 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2022-02-23T09:10:20Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2022-03-07T16:05:02Z | |
refterms.panel | A | en_GB |
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Except where otherwise noted, this item's licence is described as © 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).