Chatbot -assisted self-assessment (CASA): Co-designing an AI -powered behaviour change intervention for ethnic minorities
Chatbots were acceptable for health self-assessment among this sample of ethnically diverse individuals. Most users reported being comfortable disclosing sensitive and personal information, but user anonymity is key to engagement with chatbots. As this technology becomes more advanced and widely available, chatbots could potentially become supplementary tools for health education and screening eligibility assessment. Future research is needed to establish their impact on screening uptake and access to health services among minoritised communities.
Authors
- Ian Montgomery (ORCID: https://orcid.org/0000-0002-7005-8027)
- Carrie Diane Llewellyn (ORCID: https://orcid.org/0000-0002-9107-8473)
- A. Stéfan (ORCID: https://orcid.org/0000-0002-2918-2480)
- Tom Nadarzynski (ORCID: https://orcid.org/0000-0001-7010-5308)
- Anirban Das (ORCID: https://orcid.org/0000-0002-7880-9454)
- Nicky Knights (ORCID: https://orcid.org/0000-0003-2703-4609)
- Nidhi Singh (ORCID: https://orcid.org/0009-0002-5551-7229)
- Damien Ridge (ORCID: https://orcid.org/0000-0001-9245-5958)
- Cynthia A. Graham (ORCID: https://orcid.org/0000-0002-7884-599X)
- Deborah Husbands (ORCID: https://orcid.org/0000-0003-2979-5655)
- Tom Buchanan (ORCID: https://orcid.org/0000-0002-8994-2939)
- Grace Paydon
- Gurpreet Lall
- Anathoth Bulukungu
- Nur Yanyali
- Chimeremumma Ogueri
- Alejandra Soruco Rodriguez
- Olabisi Oyebode
- Evan Rouse
Institutions
- Brighton and Sussex Medical School (GB)
- University of Sussex (GB)
- Indiana University Bloomington (US)
- University of Westminster (GB)
Publication Details
- Journal
- PLOS Digital Health
- Published
- 2025-02-13
- DOI
- https://doi.org/10.1371/journal.pdig.0000724
- Citations
- 2
- Primary Topic
- Digital Mental Health Interventions
- Type
- article
- Field-Weighted Citation Impact
- 3.09
Funders
- National Institute for Health and Care Research
- University of Westminster