cMIND AI Web Tool Usability Study (Hong Kong)
Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age60+
SponsorHong Kong Metropolitan University
About this trial
This study is testing a new web-based tool that uses artificial intelligence (AI) to help older adults in Hong Kong check how healthy their Cantonese-style meals are for brain health. The tool is based on the cMIND diet, a Chinese-adapted version of a known healthy eating pattern that may support memory and thinking skills.
Participants will use the web app to take photos of their usual meals for at least 10 days over two weeks. The AI will automatically identify ingredients and give a score showing how well the meal follows the cMIND diet. The study will also ask participants to complete a short questionnaire and a brief interview to find out how easy and useful the tool is for older adults.
The purpose of this small study is to see whether the AI tool is user-friendly and acceptable for older people. Results will help improve the tool for future use to support healthy ageing and brain health.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
Aged 60 years or above
Community-dwelling in Hong Kong
Able to provide informed consent
Basic ability to use a smartphone or tablet (with assistance if needed)
Disqualifiers
Severe visual or motor impairment that prevents taking meal photos even with assistance
Self-reported diagnosis of dementia or Alzheimer's disease, or other psychiatric/medical conditions that would interfere with participation or valid outcome assessment
Current participation in other interventional nutrition or technology studies
Trial population
Community-dwelling older adults aged 60 years and above in Hong Kong who regularly consume Cantonese-style meals.
Trial design
Design model
Case-only
Time perspective
Prospective
Treatments tested in this trial
Web-Based AI Dietary Assessment System
Other interventionA web-based AI software prototype designed specifically for older adults in Hong Kong. Users upload photographs of their usual Cantonese-style mixed meals (e.g., dim sum assortments, stir-fries with overlapping ingredients, or congee with toppings). The AI system automatically recognises multiple ingredients and sauces, estimates nutritional content using local food composition data, and calculates a cMIND adherence score (range 0-12). Immediate personalised feedback on dietary quality for brain health is provided. The tool is intended for dietary self-monitoring and does not involve any drug, physical device, or medical treatment.
Treatment groups
20 Participants
are divided into 1 treatment groupGroup A: cMIND Usability Group1 intervention
Trial outcomes
Primary outcomes
1
Usability and Acceptability of the Web-Based AI Tool
Participants' perceived ease of use and acceptability of the AI web tool for photographing Cantonese meals and receiving cMIND dietary feedback.
Time frame
Assessed at the end of the 2-week testing periodSecondary outcomes
1
Feasibility of Meal Photo-Taking
Proportion of participants able to complete at least 10 days of meal photos over the two-week period.
Time frame
Over the 2-week testing period2
Qualitative User Feedback
Participants' experiences, challenges, and suggestions regarding the web tool, collected through semi-structured interviews.
Time frame
At the end of the 2-week testing periodLocations
Sponsors and contacts
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Source ClinicalTrials.gov
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