Abstract
This pilot study explored the use of a novel behavioural artificial intelligence (AI) tool to examine whether personality is associated with the lived experience of the NHS England launched a low calorie diet (LCD). A cross-sectional survey was disseminated to service users to gather data on emotional wellbeing, physical activity, pain, motivation to manage diabetes, motivation to lose weight, rating of total diet replacement (TDR) products and frequency of using fibre supplements. The scaled insights behavioural AI tool was used to infer personality traits from service users' language construction, and in doing so, examine associations with the outcomes indicated above. Findings show that service users can be profiled by personality, and this can provide a method of understanding programme outcomes. Three clusters of personality traits were identified. Despite this, there was no association between personality features and emotional wellbeing, physical activity, pain, motivation to manage diabetes, motivation to lose weight, rating of TDR products and frequency of using fibre supplements. As the self-selected sample size was limited, future research should examine the use of behavioural AI tools and personality using larger and longitudinal samples.
More Information
Divisions: | School of Health |
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Identification Number: | https://doi.org/10.1111/cob.70003 |
Status: | Published |
Refereed: | Yes |
Publisher: | Wiley |
Additional Information: | © 2025 The Author(s) |
Uncontrolled Keywords: | 1103 Clinical Sciences; 3202 Clinical sciences; 4203 Health services and systems; 4206 Public health |
SWORD Depositor: | Symplectic |
Depositing User (symplectic) | Deposited by Mann, Elizabeth |
Date Deposited: | 13 Feb 2025 14:08 |
Last Modified: | 24 Apr 2025 13:08 |
Item Type: | Article |
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