Personalization of artificial intelligence driven fitness apps for senior citizens

The purpose of the study was to examine the role of personalization in motivating senior citizens to use AI driven fitness apps. Vroom’s expectancy theory of motivation was applied to examine the motivation of senior citizens. The responses from participants were collected through structured interviews. The participants belonged to South Asian origin belonging to India, Bangladesh, Nepal and Bhutan. The authors adopted a content analysis approach where the gathered interview responses were coded in the context of elements of Vroom’s theory. The findings of the study indicated that a highly personalized approach in the context of motivation, expectancy, instrumentality and valence will motivate senior citizens to use AI based fitness apps. The study contributes to the personalization of AI fitness apps for senior citizens.

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Publication Details

Journal
Journal of Infrastructure Policy and Development
Published
2024-12-30
DOI
https://doi.org/10.24294/jipd6917
Citations
1
Primary Topic
Technology Use by Older Adults
Type
article
Field-Weighted Citation Impact
1.71
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article

Personalization of artificial intelligence driven fitness apps for senior citizens

S. Channabasappa, Komal Chopra, Hema Patil, Rakesh Damodar
1 citations
Journal of Infrastructure Policy and Development
Technology Use by Older Adults
1.71
article

Personalization of artificial intelligence driven fitness apps for senior citizens

S. Channabasappa, Komal Chopra, Hema Patil, Rakesh Damodar
article en
1 citations

Abstract

The purpose of the study was to examine the role of personalization in motivating senior citizens to use AI driven fitness apps. Vroom’s expectancy theory of motivation was applied to examine the motivation of senior citizens. The responses from participants were collected through structured interviews. The participants belonged to South Asian origin belonging to India, Bangladesh, Nepal and Bhutan. The authors adopted a content analysis approach where the gathered interview responses were coded in the context of elements of Vroom’s theory. The findings of the study indicated that a highly personalized approach in the context of motivation, expectancy, instrumentality and valence will motivate senior citizens to use AI based fitness apps. The study contributes to the personalization of AI fitness apps for senior citizens.

Journal of Infrastructure Policy and DevelopmentVol. 8(16)
Symbiosis International University (IN), ASA College (US), JSS Science and Technology University (IN), Visvesvaraya Technological University (IN)
Openalex Percentile: Top 11%
Technology Use by Older Adults
1.71
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