Promoting physical activity in older adults with type 2 diabetes via an anthropomorphic conversational agent: development of an evidence and theory-based multi-behavior intervention
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.14/38556 |
Resumo: | Introduction: Anthropomorphic conversational agents (ACA) are a promising digital tool to support self-management of type 2 diabetes (T2D), albeit little explored. There is a dearth of literature on the detailed content of these interventions, which may limit effectiveness and replication. Our aim is to describe the development of an evidence and theory-based intervention to improve physical activity in older adults with T2D, subsumed in a multi-behavior intervention via a mobile application with an ACA. Methods: Overall decisions on the multi-behavior intervention design, such as the use of standardized behavior change techniques (BCTTv1), guided the development of the physical activity component. Firstly, recommendations on ambulatory activity were used to select the target behavior (walking). Meta-research on effective behavior change techniques (BCTs) was then identified. One meta-analysis linked effective BCTs with the three basic psychological needs of the self-determination theory (SDT). This meta-analysis, taken together with additional evidence on SDT, led to the selection of this theory to inform the design. BCTs were extracted from meta-research; we selected the most appropriate to be operationalized via the conversational agent through multidisciplinary discussions. Rules governing the dialogue flow and BCTs tailoring, taking the form “if some conditions hold then execute some action,” were derived based on the Basic Psychological in Exercise Scale (competence, autonomy, and relatedness scores), in conjunction with published evidence and multidisciplinary discussions. Results: Thirteen BCTs were implemented in the prototype via the ACA (e.g., goal setting behavior 1.1). Six if-then rules were derived and depicted in the dialogue steps through process flow diagrams, which map how the system functions. An example of a rule is “If competence score ≤ 10 then, apply BCT 1.1 with 500 steps increments as options for the daily walking goal; If competence score > 10 then, apply BCT 1.1 with 1,000 steps increments as options for the daily walking goal.” Conclusion: Evidence and SDT were translated into a mobile application prototype using an ACA to promote physical activity in older adults with T2D. This approach, which includes 13 BCTs and six if-then rules for their tailoring, may leverage the efforts of others in developing similar interventions. |
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Promoting physical activity in older adults with type 2 diabetes via an anthropomorphic conversational agent: development of an evidence and theory-based multi-behavior interventionBehavior change techniquesConversational agentIntervention developmentOlder adultsPhysical activitySelf-determination theoryTpe 2 diabetesIntroduction: Anthropomorphic conversational agents (ACA) are a promising digital tool to support self-management of type 2 diabetes (T2D), albeit little explored. There is a dearth of literature on the detailed content of these interventions, which may limit effectiveness and replication. Our aim is to describe the development of an evidence and theory-based intervention to improve physical activity in older adults with T2D, subsumed in a multi-behavior intervention via a mobile application with an ACA. Methods: Overall decisions on the multi-behavior intervention design, such as the use of standardized behavior change techniques (BCTTv1), guided the development of the physical activity component. Firstly, recommendations on ambulatory activity were used to select the target behavior (walking). Meta-research on effective behavior change techniques (BCTs) was then identified. One meta-analysis linked effective BCTs with the three basic psychological needs of the self-determination theory (SDT). This meta-analysis, taken together with additional evidence on SDT, led to the selection of this theory to inform the design. BCTs were extracted from meta-research; we selected the most appropriate to be operationalized via the conversational agent through multidisciplinary discussions. Rules governing the dialogue flow and BCTs tailoring, taking the form “if some conditions hold then execute some action,” were derived based on the Basic Psychological in Exercise Scale (competence, autonomy, and relatedness scores), in conjunction with published evidence and multidisciplinary discussions. Results: Thirteen BCTs were implemented in the prototype via the ACA (e.g., goal setting behavior 1.1). Six if-then rules were derived and depicted in the dialogue steps through process flow diagrams, which map how the system functions. An example of a rule is “If competence score ≤ 10 then, apply BCT 1.1 with 500 steps increments as options for the daily walking goal; If competence score > 10 then, apply BCT 1.1 with 1,000 steps increments as options for the daily walking goal.” Conclusion: Evidence and SDT were translated into a mobile application prototype using an ACA to promote physical activity in older adults with T2D. This approach, which includes 13 BCTs and six if-then rules for their tailoring, may leverage the efforts of others in developing similar interventions.Veritati - Repositório Institucional da Universidade Católica PortuguesaPimenta, NunoFélix, Isa BritoMonteiro, DiogoMarques, Marta MoreiraGuerreiro, Mara Pereira2022-08-09T09:32:03Z2022-07-122022-07-12T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.14/38556eng1664-107810.3389/fpsyg.2022.88335485134924010PMC931534935903740000831775700001info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-16T01:44:25Zoai:repositorio.ucp.pt:10400.14/38556Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:31:29.455704Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Promoting physical activity in older adults with type 2 diabetes via an anthropomorphic conversational agent: development of an evidence and theory-based multi-behavior intervention |
title |
Promoting physical activity in older adults with type 2 diabetes via an anthropomorphic conversational agent: development of an evidence and theory-based multi-behavior intervention |
spellingShingle |
Promoting physical activity in older adults with type 2 diabetes via an anthropomorphic conversational agent: development of an evidence and theory-based multi-behavior intervention Pimenta, Nuno Behavior change techniques Conversational agent Intervention development Older adults Physical activity Self-determination theory Tpe 2 diabetes |
title_short |
Promoting physical activity in older adults with type 2 diabetes via an anthropomorphic conversational agent: development of an evidence and theory-based multi-behavior intervention |
title_full |
Promoting physical activity in older adults with type 2 diabetes via an anthropomorphic conversational agent: development of an evidence and theory-based multi-behavior intervention |
title_fullStr |
Promoting physical activity in older adults with type 2 diabetes via an anthropomorphic conversational agent: development of an evidence and theory-based multi-behavior intervention |
title_full_unstemmed |
Promoting physical activity in older adults with type 2 diabetes via an anthropomorphic conversational agent: development of an evidence and theory-based multi-behavior intervention |
title_sort |
Promoting physical activity in older adults with type 2 diabetes via an anthropomorphic conversational agent: development of an evidence and theory-based multi-behavior intervention |
author |
Pimenta, Nuno |
author_facet |
Pimenta, Nuno Félix, Isa Brito Monteiro, Diogo Marques, Marta Moreira Guerreiro, Mara Pereira |
author_role |
author |
author2 |
Félix, Isa Brito Monteiro, Diogo Marques, Marta Moreira Guerreiro, Mara Pereira |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Veritati - Repositório Institucional da Universidade Católica Portuguesa |
dc.contributor.author.fl_str_mv |
Pimenta, Nuno Félix, Isa Brito Monteiro, Diogo Marques, Marta Moreira Guerreiro, Mara Pereira |
dc.subject.por.fl_str_mv |
Behavior change techniques Conversational agent Intervention development Older adults Physical activity Self-determination theory Tpe 2 diabetes |
topic |
Behavior change techniques Conversational agent Intervention development Older adults Physical activity Self-determination theory Tpe 2 diabetes |
description |
Introduction: Anthropomorphic conversational agents (ACA) are a promising digital tool to support self-management of type 2 diabetes (T2D), albeit little explored. There is a dearth of literature on the detailed content of these interventions, which may limit effectiveness and replication. Our aim is to describe the development of an evidence and theory-based intervention to improve physical activity in older adults with T2D, subsumed in a multi-behavior intervention via a mobile application with an ACA. Methods: Overall decisions on the multi-behavior intervention design, such as the use of standardized behavior change techniques (BCTTv1), guided the development of the physical activity component. Firstly, recommendations on ambulatory activity were used to select the target behavior (walking). Meta-research on effective behavior change techniques (BCTs) was then identified. One meta-analysis linked effective BCTs with the three basic psychological needs of the self-determination theory (SDT). This meta-analysis, taken together with additional evidence on SDT, led to the selection of this theory to inform the design. BCTs were extracted from meta-research; we selected the most appropriate to be operationalized via the conversational agent through multidisciplinary discussions. Rules governing the dialogue flow and BCTs tailoring, taking the form “if some conditions hold then execute some action,” were derived based on the Basic Psychological in Exercise Scale (competence, autonomy, and relatedness scores), in conjunction with published evidence and multidisciplinary discussions. Results: Thirteen BCTs were implemented in the prototype via the ACA (e.g., goal setting behavior 1.1). Six if-then rules were derived and depicted in the dialogue steps through process flow diagrams, which map how the system functions. An example of a rule is “If competence score ≤ 10 then, apply BCT 1.1 with 500 steps increments as options for the daily walking goal; If competence score > 10 then, apply BCT 1.1 with 1,000 steps increments as options for the daily walking goal.” Conclusion: Evidence and SDT were translated into a mobile application prototype using an ACA to promote physical activity in older adults with T2D. This approach, which includes 13 BCTs and six if-then rules for their tailoring, may leverage the efforts of others in developing similar interventions. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-08-09T09:32:03Z 2022-07-12 2022-07-12T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.14/38556 |
url |
http://hdl.handle.net/10400.14/38556 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1664-1078 10.3389/fpsyg.2022.883354 85134924010 PMC9315349 35903740 000831775700001 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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