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      Investigating the Potential of a Conversational Agent (Phyllis) to Support Adolescent Health and Overcome Barriers to Physical Activity: Co-Design Study

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          Abstract

          Background

          Conversational agents (CAs) are a promising solution to support people in improving physical activity (PA) behaviors. However, there is a lack of CAs targeted at adolescents that aim to provide support to overcome barriers to PA. This study reports the results of the co-design, development, and evaluation of a prototype CA called “Phyllis” to support adolescents in overcoming barriers to PA with the aim of improving PA behaviors. The study presents one of the first theory-driven CAs that use existing research, a theoretical framework, and a behavior change model.

          Objective

          The aim of the study is to use a mixed methods approach to investigate the potential of a CA to support adolescents in overcoming barriers to PA and enhance their confidence and motivation to engage in PA.

          Methods

          The methodology involved co-designing with 8 adolescents to create a relational and persuasive CA with a suitable persona and dialogue. The CA was evaluated to determine its acceptability, usability, and effectiveness, with 46 adolescents participating in the study via a web-based survey.

          Results

          The co-design participants were students aged 11 to 13 years, with a sex distribution of 56% (5/9) female and 44% (4/9) male, representing diverse ethnic backgrounds. Participants reported 37 specific barriers to PA, and the most common barriers included a “lack of confidence,” “fear of failure,” and a “lack of motivation.” The CA’s persona, named “Phyllis,” was co-designed with input from the students, reflecting their preferences for a friendly, understanding, and intelligent personality. Users engaged in 61 conversations with Phyllis and reported a positive user experience, and 73% of them expressed a definite intention to use the fully functional CA in the future, with a net promoter score indicating a high likelihood of recommendation. Phyllis also performed well, being able to recognize a range of different barriers to PA. The CA’s persuasive capacity was evaluated in modules focusing on confidence and motivation, with a significant increase in students’ agreement in feeling confident and motivated to engage in PA after interacting with Phyllis. Adolescents also expect to have a personalized experience and be able to personalize all aspects of the CA.

          Conclusions

          The results showed high acceptability and a positive user experience, indicating the CA’s potential. Promising outcomes were observed, with increasing confidence and motivation for PA. Further research and development are needed to create further interventions to address other barriers to PA and assess long-term behavior change. Addressing concerns regarding bias and privacy is crucial for achieving acceptability in the future. The CA’s potential extends to health care systems and multimodal support, providing valuable insights for designing digital health interventions including tackling global inactivity issues among adolescents.

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          Most cited references55

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          Using thematic analysis in psychology

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            The theory of planned behavior

            Icek Ajzen (1991)
            Organizational Behavior and Human Decision Processes, 50(2), 179-211
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              The behaviour change wheel: A new method for characterising and designing behaviour change interventions

              Background Improving the design and implementation of evidence-based practice depends on successful behaviour change interventions. This requires an appropriate method for characterising interventions and linking them to an analysis of the targeted behaviour. There exists a plethora of frameworks of behaviour change interventions, but it is not clear how well they serve this purpose. This paper evaluates these frameworks, and develops and evaluates a new framework aimed at overcoming their limitations. Methods A systematic search of electronic databases and consultation with behaviour change experts were used to identify frameworks of behaviour change interventions. These were evaluated according to three criteria: comprehensiveness, coherence, and a clear link to an overarching model of behaviour. A new framework was developed to meet these criteria. The reliability with which it could be applied was examined in two domains of behaviour change: tobacco control and obesity. Results Nineteen frameworks were identified covering nine intervention functions and seven policy categories that could enable those interventions. None of the frameworks reviewed covered the full range of intervention functions or policies, and only a minority met the criteria of coherence or linkage to a model of behaviour. At the centre of a proposed new framework is a 'behaviour system' involving three essential conditions: capability, opportunity, and motivation (what we term the 'COM-B system'). This forms the hub of a 'behaviour change wheel' (BCW) around which are positioned the nine intervention functions aimed at addressing deficits in one or more of these conditions; around this are placed seven categories of policy that could enable those interventions to occur. The BCW was used reliably to characterise interventions within the English Department of Health's 2010 tobacco control strategy and the National Institute of Health and Clinical Excellence's guidance on reducing obesity. Conclusions Interventions and policies to change behaviour can be usefully characterised by means of a BCW comprising: a 'behaviour system' at the hub, encircled by intervention functions and then by policy categories. Research is needed to establish how far the BCW can lead to more efficient design of effective interventions.
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                Author and article information

                Contributors
                On behalf of : Conversational AI Research Cluster
                Journal
                JMIR Form Res
                JMIR Form Res
                JFR
                JMIR Formative Research
                JMIR Publications (Toronto, Canada )
                2561-326X
                2024
                31 January 2024
                : 8
                : e51571
                Affiliations
                [1 ] Sheffield Hallam University Sport and Physical Activity Research Centre / Advanced Wellbeing Research Centre Sheffield United Kingdom
                [2 ] Department of Computing Sheffield Hallam University Sheffield United Kingdom
                [3 ] Department of Psychology, Sociology & Politics Sheffield Hallam University Sheffield United Kingdom
                Author notes
                Corresponding Author: Richard Moore r.moore@ 123456shu.ac.uk
                Author information
                https://orcid.org/0000-0002-8865-6746
                https://orcid.org/0000-0003-2459-0298
                https://orcid.org/0000-0002-6494-3783
                Article
                v8i1e51571
                10.2196/51571
                10867744
                38294857
                daf8dfed-a997-46d5-8f3a-a1f09c855a95
                ©Richard Moore, Abdel-Karim Al-Tamimi, Elizabeth Freeman. Originally published in JMIR Formative Research (https://formative.jmir.org), 31.01.2024.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.

                History
                : 3 August 2023
                : 18 October 2023
                : 8 November 2023
                : 22 November 2023
                Categories
                Original Paper
                Original Paper

                physical activity,inactivity,conversational agent,ca,adolescent,public health,digital health interventions,mobile phone

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