Perceptions and expectations of an artificially intelligent physical activity digital assistant — A focus group study

Artificially intelligent physical activity digital assistants that use the full spectrum of machine learning capabilities have not yet been developed and examined. This study aimed to explore potential users' perceptions and expectations of using such a digital assistant. Six 90-min online focus group meetings (n = 45 adults) were conducted. Meetings were recorded, transcribed and thematically analysed. Participants embraced the idea of a 'digital assistant' providing physical activity support. Participants indicated they would like to receive notifications from the digital assistant, but did not agree on the number, timing, tone and content of notifications. Likewise, they indicated that the digital assistant's personality and appearance should be customisable. Participants understood the need to provide information to the digital assistant to allow for personalisation, but varied greatly in the extent of information that they were willing to provide. Privacy issues aside, participants embraced the idea of using artificial intelligence or machine learning in return for a more functional and personal digital assistant. In sum, participants were ready for an artificially intelligent physical activity digital assistant but emphasised a need to personalise or customise nearly every feature of the application. This poses challenges in terms of cost and complexity of developing the application.

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Publication Details

Journal
Applied Psychology Health and Well-Being
Published
2024-09-13
DOI
https://doi.org/10.1111/aphw.12594
Citations
6
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
5.10

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article

Perceptions and expectations of an artificially intelligent physical activity digital assistant — A focus group study

Quyen G. To, Ashmita Karki, Corneel Vandelanotte, Tasadduq Imam et al.
6 citations
Applied Psychology Health and Well-Being
Mobile Health and mHealth Applications
5.10
article

Perceptions and expectations of an artificially intelligent physical activity digital assistant — A focus group study

Quyen G. To, Ashmita Karki, Corneel Vandelanotte, Tasadduq Imam, Md. Mamunur Rashid, Carol Ann Maher, Danya Hodgetts, Stewart G. Trost, D.L.I.H.K. Peris
article en
6 citations

Abstract

Artificially intelligent physical activity digital assistants that use the full spectrum of machine learning capabilities have not yet been developed and examined. This study aimed to explore potential users' perceptions and expectations of using such a digital assistant. Six 90-min online focus group meetings (n = 45 adults) were conducted. Meetings were recorded, transcribed and thematically analysed. Participants embraced the idea of a 'digital assistant' providing physical activity support. Participants indicated they would like to receive notifications from the digital assistant, but did not agree on the number, timing, tone and content of notifications. Likewise, they indicated that the digital assistant's personality and appearance should be customisable. Participants understood the need to provide information to the digital assistant to allow for personalisation, but varied greatly in the extent of information that they were willing to provide. Privacy issues aside, participants embraced the idea of using artificial intelligence or machine learning in return for a more functional and personal digital assistant. In sum, participants were ready for an artificially intelligent physical activity digital assistant but emphasised a need to personalise or customise nearly every feature of the application. This poses challenges in terms of cost and complexity of developing the application.

Applied Psychology Health and Well-BeingVol. 16(4)
Hong Kong Baptist University (HK), The University of Queensland (AU), University of South Australia (AU), Central Queensland University (AU)
National Heart Foundation of Australia, Central Queensland University, Medical Research Council, Australian Research Council, National Health and Medical Research Council
Openalex Percentile: Top 5%
Mobile Health and mHealth Applications
5.10
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