Usability Evaluation of Gen AI-based Nutrition Chatbot for Pregnant Women
Starting soon · Not applicable
Conditions studied: Diabetes, Gestational, Pre-eclampsia, AI Chatbot for Prenatal Nutrition Guidance
In brief
Background: Pregnancy imposes significant physical demands, with complications like gestational diabetes (GDM) and pre-eclampsia posing serious risks. Nutrition is crucial for mitigation, but accessing reliable guidance remains challenging. This study evaluates the feasibility of an AI chatbot providing nutritional guidance for managing these conditions. Methods: In a quasi-experimental design, 100 pregnant women will self-select into either the intervention group (n=50, using an AI chatbot) or control group (n=50, receiving standard care). The primary outcome is usability measured by the System Usability Scale (SUS) at 12 weeks, with an expected mean difference of ≥13 points. Secondary outcomes include technology acceptance (Technology Acceptance Model), user engagement, information accuracy, and changes in dietary knowledge/behaviors. Quantitative data will be analyzed using intention-to-treat and t-tests. Semi-structured interviews with 20 participants will explore user experiences through thematic analysis. Expected Results: The AI chatbot is anticipated to demonstrate superior usability and high user acceptance (TAM \>5.0/7), with improvements in dietary knowledge and behavior. Qualitative findings will provide insights into benefits, barriers, and engagement factors. Conclusion: This study will establish an evidence base on AI chatbot feasibility and acceptance for prenatal nutrition, informing tool optimization and future large-scale trials.
Key facts
- Study ID
- NCT07458997
- Run by
- Hong Kong Metropolitan University
- People needed
- 100
- Starts
- 2026-06-01
- Expected to finish
- 2027-01-31
- Last updated by the study team
- 2026-03-09
Who can join
Age: 18 and older. Sex: female. Healthy volunteers: not accepted.
You may qualify if…
- Pregnant women aged 18 years or older
- Able to provide informed consent in the study language
- Own a smartphone with internet access and the WeChat application
You may not qualify if…
- Current enrollment in other nutrition intervention studies
- Severe mental health conditions that may impair technology use or ability to provide informed consent
Where it is running
- Hong Kong Metropolitan University — Hong Kong, Hong Kong
Full record on ClinicalTrials.gov
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