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Exploring the influence of a user-specific explainable virtual advisor on health behaviour change intentions
Virtual advisors (VAs) are being utilised almost in every service nowadays from entertainment to healthcare. To increase the user’s trust in these VAs and encourage the users to follow their advice, they should have the capability of explaining their decisions, particularly, when the decision is vit...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8977831/ https://www.ncbi.nlm.nih.gov/pubmed/35401031 http://dx.doi.org/10.1007/s10458-022-09553-x |
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author | Abdulrahman, Amal Richards, Deborah Bilgin, Ayse Aysin |
author_facet | Abdulrahman, Amal Richards, Deborah Bilgin, Ayse Aysin |
author_sort | Abdulrahman, Amal |
collection | PubMed |
description | Virtual advisors (VAs) are being utilised almost in every service nowadays from entertainment to healthcare. To increase the user’s trust in these VAs and encourage the users to follow their advice, they should have the capability of explaining their decisions, particularly, when the decision is vital such as health advice. However, the role of an explainable VA in health behaviour change is understudied. There is evidence that people tend to change their intentions towards health behaviour when the persuasion message is linked to their mental state. Thus, this study explores this link by introducing an explainable VA that provides explanation according to the user’s mental state (beliefs and goals) rather than the agent’s mental state as commonly utilised in explainable agents. It further explores the influence of different explanation patterns that refer to beliefs, goals, or beliefs&goals on the user’s behaviour change. An explainable VA was designed to advise undergraduate students how to manage their study-related stress by motivating them to change certain behaviours. With 91 participants, the VA was evaluated and the results revealed that user-specific explanation could significantly encourage behaviour change intentions and build good user-agent relationship. Small differences were found between the three types of explanation patterns. |
format | Online Article Text |
id | pubmed-8977831 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-89778312022-04-04 Exploring the influence of a user-specific explainable virtual advisor on health behaviour change intentions Abdulrahman, Amal Richards, Deborah Bilgin, Ayse Aysin Auton Agent Multi Agent Syst Article Virtual advisors (VAs) are being utilised almost in every service nowadays from entertainment to healthcare. To increase the user’s trust in these VAs and encourage the users to follow their advice, they should have the capability of explaining their decisions, particularly, when the decision is vital such as health advice. However, the role of an explainable VA in health behaviour change is understudied. There is evidence that people tend to change their intentions towards health behaviour when the persuasion message is linked to their mental state. Thus, this study explores this link by introducing an explainable VA that provides explanation according to the user’s mental state (beliefs and goals) rather than the agent’s mental state as commonly utilised in explainable agents. It further explores the influence of different explanation patterns that refer to beliefs, goals, or beliefs&goals on the user’s behaviour change. An explainable VA was designed to advise undergraduate students how to manage their study-related stress by motivating them to change certain behaviours. With 91 participants, the VA was evaluated and the results revealed that user-specific explanation could significantly encourage behaviour change intentions and build good user-agent relationship. Small differences were found between the three types of explanation patterns. Springer US 2022-04-04 2022 /pmc/articles/PMC8977831/ /pubmed/35401031 http://dx.doi.org/10.1007/s10458-022-09553-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Abdulrahman, Amal Richards, Deborah Bilgin, Ayse Aysin Exploring the influence of a user-specific explainable virtual advisor on health behaviour change intentions |
title | Exploring the influence of a user-specific explainable virtual advisor on health behaviour change intentions |
title_full | Exploring the influence of a user-specific explainable virtual advisor on health behaviour change intentions |
title_fullStr | Exploring the influence of a user-specific explainable virtual advisor on health behaviour change intentions |
title_full_unstemmed | Exploring the influence of a user-specific explainable virtual advisor on health behaviour change intentions |
title_short | Exploring the influence of a user-specific explainable virtual advisor on health behaviour change intentions |
title_sort | exploring the influence of a user-specific explainable virtual advisor on health behaviour change intentions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8977831/ https://www.ncbi.nlm.nih.gov/pubmed/35401031 http://dx.doi.org/10.1007/s10458-022-09553-x |
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