Abstract Preview
Abstract
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Title Exploration of factors influencing weight-loss intervention using a prototype artificial intelligence robot |
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Type Poster Presentation Only |
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Theme Global Health Literacy Summit 2021 |
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Topic Improving Health Literacy Using Information Technology |
Authors
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Main Author Yi Tang Chu1 2 |
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Presenting Author Yi Tang Chu1 2 |
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Co-Author Tara Tai-Wen Chen Wei-Hsuan Lin James Tang Chi-Wei Lin Sabrina Kurtz-Rossi Kristine Sørensen |
Authors' Institution
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Department / Institution / Country Family and Community Medicine / Yi-Tang Chu / Taiwan (台灣)1 Family and Community Medicine / Ru-Yi Huang / Taiwan (台灣)2 |
Content
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Abstract Content (abstracts should be written in Size 11 font, Arial font style) Obesity is a major health problem. Implementation of a health literacy–friendly interface using artificial intelligence (AI) technology offers an innovative method of achieving clinical effectiveness. We developed an interactive voice response (IVR) survey using AI robot to tailor health information for the individual to allow optimal personalized weight-loss interventions and to explore factors influencing weight-loss intervention. The weight-specific-health-literacy scale (WSHLI) and Shared-Decision-Making Questionnaire (SDMQ) were used to measure factors influencing behavior change for weight-loss intervention. The associations between influential factors and weight-loss intervention were analyzed using logistic regression, and different options of weight-loss interventions were examined through one-way analysis of variance. Our study recruited 144 adults (69.4% women, 58.3% with body mass index (BMI) ≥ 24). After interacting with the AI robot, 78% of the study population made the decision to undergo a weight-loss intervention, and 90% of them chose the correct option, in line with the current guidelines on adult obesity management. SDMQ score was a significant factor influencing a positive behavior change for weight loss (odds ratio [OR]: 2.16, 95% confidence interval [CI]: 1.09–4.29, P = 0.027). Individuals who selected self-monitored lifestyle modification (mean ± SD: 11.52 ± 1.95) had significantly higher health literacy (evaluated using WSHLI scores) than those who selected dietician-assisted plan (9.92 ± 2.30) and physician-guided treatment (9.60 ± 1.52) (both P = 0.001). The study results demonstrated that our prototype AI robot can effectively encourage individuals to make appropriate decisions and that SDMQ scores positively affect the choice of weight-loss management plan. |
Requires Audio or Video system for Presentation?: No
