What drives older adults’ acceptance of virtual humans? A conjoint and latent class analysis on virtual exercise coach attributes for a community-based exercise program

As an example of health-enhancing physical activities (HEPA), structured physical exercise is valuable in promoting healthy lifestyles among community-dwelling older adults. Technology-driven virtual coaches have the potential to enhance and improve exercise programs, but the preferences of the agin...

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Published inComputers in human behavior Vol. 164; p. 108507
Main Authors Dino, Michael Joseph S., Dion, Kenneth W., Abadir, Peter M., Budhathoki, Chakra, Huang, Chien-Ming, Padula, William V., Ong, Irvin, Dennison Himmelfarb, Cheryl R., Davidson, Patricia M., Thiamwong, Ladda
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.03.2025
Subjects
Conjoint analysis
Human-computer interaction
Latent class analysis
Older adults
Physical exercise
Virtual coaches
Physical exercise
Virtual coaches
Human-computer interaction
Conjoint analysis
Latent class analysis
Older adults
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Abstract As an example of health-enhancing physical activities (HEPA), structured physical exercise is valuable in promoting healthy lifestyles among community-dwelling older adults. Technology-driven virtual coaches have the potential to enhance and improve exercise programs, but the preferences of the aging population were not previously explored. This study examined and analyzed the attributes and levels related to the acceptance of virtual coaches among the aging cohort via experience-based conjoint and latent class analysis. Purposively selected respondents (n = 232) from two senior centers in the Philippines completed a conjoint activity followed by a computer-based survey focusing on attributes related to platform, appearance, gender, language, and music. Results revealed the subjects' inclination to a humanlike, feminine, local language-speaking virtual coach projected through a mixed reality platform with a contemporary music background. Additionally, latent class analysis outcomes produced three subgroups based on the pattern of preferences among the technology users. Study outcomes reinforce the importance of human-centered design and multidisciplinary approaches to health technology development. •Virtual exercise coaches have the potential to improve health-enhancing physical activities among vulnerable, community-dwelling older adults.•Technology platforms emerged as the most important attribute in the selection of virtual coaches.•Older adult virtual coach users can be typified as “Explorers”, “Listeners”, and “Viewers” based on latent class analysis.•Human-centered technology design involving a multidisciplinary team remains the golden standard in technology development.
AbstractList As an example of health-enhancing physical activities (HEPA), structured physical exercise is valuable in promoting healthy lifestyles among community-dwelling older adults. Technology-driven virtual coaches have the potential to enhance and improve exercise programs, but the preferences of the aging population were not previously explored. This study examined and analyzed the attributes and levels related to the acceptance of virtual coaches among the aging cohort via experience-based conjoint and latent class analysis. Purposively selected respondents ( n = 232) from two senior centers in the Philippines completed a conjoint activity followed by a computer-based survey focusing on attributes related to platform, appearance, gender, language, and music. Results revealed the subjects’ inclination to a humanlike, feminine, local language-speaking virtual coach projected through a mixed reality platform with a contemporary music background. Additionally, latent class analysis outcomes produced three subgroups based on the pattern of preferences among the technology users. Study outcomes reinforce the importance of human-centered design and multidisciplinary approaches to health technology development.
As an example of health-enhancing physical activities (HEPA), structured physical exercise is valuable in promoting healthy lifestyles among community-dwelling older adults. Technology-driven virtual coaches have the potential to enhance and improve exercise programs, but the preferences of the aging population were not previously explored. This study examined and analyzed the attributes and levels related to the acceptance of virtual coaches among the aging cohort via experience-based conjoint and latent class analysis. Purposively selected respondents (n = 232) from two senior centers in the Philippines completed a conjoint activity followed by a computer-based survey focusing on attributes related to platform, appearance, gender, language, and music. Results revealed the subjects' inclination to a humanlike, feminine, local language-speaking virtual coach projected through a mixed reality platform with a contemporary music background. Additionally, latent class analysis outcomes produced three subgroups based on the pattern of preferences among the technology users. Study outcomes reinforce the importance of human-centered design and multidisciplinary approaches to health technology development. •Virtual exercise coaches have the potential to improve health-enhancing physical activities among vulnerable, community-dwelling older adults.•Technology platforms emerged as the most important attribute in the selection of virtual coaches.•Older adult virtual coach users can be typified as “Explorers”, “Listeners”, and “Viewers” based on latent class analysis.•Human-centered technology design involving a multidisciplinary team remains the golden standard in technology development.
ArticleNumber 108507
Author Dion, Kenneth W.
Dennison Himmelfarb, Cheryl R.
Ong, Irvin
Thiamwong, Ladda
Budhathoki, Chakra
Huang, Chien-Ming
Padula, William V.
Dino, Michael Joseph S.
Abadir, Peter M.
Davidson, Patricia M.
AuthorAffiliation b Our Lady of Fatima University, Valenzuela City, 1440, Philippines
h College of Nursing, University of Central Florida, USA, Orlando, FL, USA
f Department of Computer Science, Johns Hopkins University, Baltimore, MD, 21218, USA
a School of Nursing, Johns Hopkins University, Baltimore, MD, 21205, USA
g Department of Pharmaceutical and Health Economics, University of Southern California, Los Angeles, CA, 90089, USA
c The Vice-Chancellor’s Unit, University of Wollongong, NSW, 2522, Australia
d Sigma Theta Tau International Honor Society in Nursing, Indianapolis, IN, 46202, USA
e School of Medicine, Johns Hopkins University, Baltimore, MD, 21205, USA
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  givenname: Michael Joseph S.
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Keywords Physical exercise
Virtual coaches
Human-computer interaction
Conjoint analysis
Latent class analysis
Older adults
Language English
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Snippet As an example of health-enhancing physical activities (HEPA), structured physical exercise is valuable in promoting healthy lifestyles among community-dwelling...
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elsevier
SourceType Open Access Repository
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Publisher
StartPage 108507
SubjectTerms Conjoint analysis
Human-computer interaction
Latent class analysis
Older adults
Physical exercise
Virtual coaches
Title What drives older adults’ acceptance of virtual humans? A conjoint and latent class analysis on virtual exercise coach attributes for a community-based exercise program
URI https://dx.doi.org/10.1016/j.chb.2024.108507
https://pubmed.ncbi.nlm.nih.gov/PMC12366743
Volume 164
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