Flint Stuart W, Goldberg Ezra, Kaykanloo Mohammad, Sherman Stuart, Radley Duncan, Kingsbury Sarah R, Ells Louisa
School of Psychology, University of Leeds, Leeds, UK.
Scaled Insights, Nexus, University of Leeds, Leeds, UK.
Clin Obes. 2025 Aug;15(4):e70003. doi: 10.1111/cob.70003. Epub 2025 Feb 25.
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.
这项试点研究探索了使用一种新型行为人工智能(AI)工具,以检验人格是否与英国国家医疗服务体系(NHS)推出的低热量饮食(LCD)的实际体验相关。向服务使用者开展了一项横断面调查,以收集有关情绪健康、身体活动、疼痛、控制糖尿病的动机、减肥动机、全代餐(TDR)产品评分以及使用纤维补充剂频率的数据。使用规模化洞察行为AI工具从服务使用者的语言构建中推断人格特质,并以此检验与上述结果的关联。研究结果表明,服务使用者可以按人格进行分类,这可以提供一种理解项目结果的方法。识别出了三类人格特质。尽管如此,人格特征与情绪健康、身体活动、疼痛、控制糖尿病的动机、减肥动机、TDR产品评分以及使用纤维补充剂频率之间并无关联。由于自行选择的样本量有限,未来研究应使用更大规模的纵向样本检验行为AI工具和人格的应用情况。