Towards a Design Framework for Conversational Agents for Diabetes Prevention

Bin Sawad, A; Alakhtar, R; Alturki, B; Narayan, B; Lin, S; Prasad, M; Kocaballi, AB

Towards a Design Framework for Conversational Agents for Diabetes Prevention

Bin Sawad, A Alakhtar, R Alturki, B Narayan, B

Lin, S Prasad, M Kocaballi, AB

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Publisher:: Association of Computing Machinery
Publication Type:: Chapter
Citation:: OzCHI '23: Proceedings of the 35th Australian Computer-Human Interaction Conference, 2024, pp. 387-398
Issue Date:: 2024-05-10

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Field	Value	Language
dc.contributor.author	Bin Sawad, A
dc.contributor.author	Alakhtar, R
dc.contributor.author	Alturki, B
dc.contributor.author	Narayan, B https://orcid.org/0000-0001-8852-5589
dc.contributor.author	Lin, S
dc.contributor.author	Prasad, M
dc.contributor.author	Kocaballi, AB
dc.contributor.editor	Bowen, J
dc.contributor.editor	Pantidi, N
dc.contributor.editor	McKay, D
dc.contributor.editor	Ferreira, J
dc.contributor.editor	Soro, A
dc.contributor.editor	Blagojevic, R
dc.contributor.editor	Lawrence, C
dc.contributor.editor	Vanderschnantz, N
dc.contributor.editor	Keegan, TT
dc.contributor.editor	Turner, J
dc.contributor.editor	Davis, H
dc.contributor.editor	Apperley, M
dc.contributor.editor	Young, J
dc.date.accessioned	2024-05-11T06:47:03Z
dc.date.available	2024-05-11T06:47:03Z
dc.date.issued	2024-05-10
dc.identifier.citation	OzCHI '23: Proceedings of the 35th Australian Computer-Human Interaction Conference, 2024, pp. 387-398
dc.identifier.isbn	979-8-4007-1707-9
dc.identifier.uri	http://hdl.handle.net/10453/178836
dc.description.abstract	Type 2 diabetes (T2D) has emerged as a significant catalyst for various health conditions. The availability and cost of health professionals pose challenges, limiting access to personalised lifestyle support. To address this issue, utilising Conversational Agents (CAs) presents an opportunity to improve scalability and adoption by improving efficiency and engagement. Thus, this study focuses on the potential impact and response to T2D. This paper aims to develop a framework for designing CA functions that support individuals at risk of T2D to be more active and raise their awareness. The study involves a mixed methods approach, including a survey conducted among 30 participants in Sydney and Jeddah, followed by semi-structured interviews conducted with 10 participants. While descriptive statistics were used to analyse the survey, the interviews were analysed using thematic analysis. Drawing upon the interviews and relevant literature, this study proposes developing a preliminary framework to help design CAs that support individuals with prediabetes to adopt a more active lifestyle.
dc.language	en
dc.publisher	Association of Computing Machinery
dc.relation.ispartof	OzCHI '23: Proceedings of the 35th Australian Computer-Human Interaction Conference
dc.relation.isbasedon	10.1145/3638380.3638421
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.title	Towards a Design Framework for Conversational Agents for Diabetes Prevention
dc.type	Chapter
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Arts and Social Sciences
pubs.organisational-group	University of Technology Sydney/Faculty of Arts and Social Sciences/FASS Faculty Administration
utslib.copyright.status	recently_added	*
pubs.consider-herdc	true
dc.date.updated	2024-05-11T06:46:57Z
pubs.place-of-publication	New York
pubs.publication-status	Published online
dc.location	New York

Abstract:

Type 2 diabetes (T2D) has emerged as a significant catalyst for various health conditions. The availability and cost of health professionals pose challenges, limiting access to personalised lifestyle support. To address this issue, utilising Conversational Agents (CAs) presents an opportunity to improve scalability and adoption by improving efficiency and engagement. Thus, this study focuses on the potential impact and response to T2D. This paper aims to develop a framework for designing CA functions that support individuals at risk of T2D to be more active and raise their awareness. The study involves a mixed methods approach, including a survey conducted among 30 participants in Sydney and Jeddah, followed by semi-structured interviews conducted with 10 participants. While descriptive statistics were used to analyse the survey, the interviews were analysed using thematic analysis. Drawing upon the interviews and relevant literature, this study proposes developing a preliminary framework to help design CAs that support individuals with prediabetes to adopt a more active lifestyle.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/178836