cMIND AI Web Tool Usability Study (Hong Kong)

NCT07735013 | Not Yet Recruiting

• 1 other identifier: FRSF/2026/08
• Study Type: observational
• Target: 20
• Locations: 0 countries
• Sites: N/A

Brief Summary

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.

Conditions

Mild Cognitive Impairment (MCI); Healthy Aging; Nutrition

Keywords

cMIND diet; Cantonese Mediterranean diet; AI dietary assessment; web-based AI tool; meal photo analysis; Cantonese mixed dishes; usability testing; older adults; congitive health; mild cognitive impairment; healthy ageing; gerontechnology; nutrition monitoring; dietary adherence; AI food recognition; Cantonese cuisine; brain health diet; feasibility study; acceptability study; Hong Kong older adults

Outcome Measures

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.

  Assessed at the end of the 2-week testing period

Secondary Outcomes (2)

• Feasibility of Meal Photo-Taking

  Over the 2-week testing period

• Qualitative User Feedback

  At the end of the 2-week testing period

Study Arms (1)

cMIND Usability Group

Community-dwelling older adults aged 60 years and above in Hong Kong who regularly consume Cantonese-style meals. This single-group feasibility and usability study evaluates the ease of use and acceptability of a web-based AI tool that analyses meal photos and calculates a cMIND (Cantonese-style Mediterranean Diet) adherence score to support cognitive health monitoring.

Other: Web-Based AI Dietary Assessment System

Interventions

Web-Based AI Dietary Assessment System OTHER

A 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.

cMIND Usability Group

Eligibility Criteria

• Age: 60 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Community-dwelling older adults aged 60 years and above in Hong Kong who regularly consume Cantonese-style meals.

You may qualify if:

• 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)
• Consuming Cantonese-style meals as the primary dietary pattern for ≥ 5 days per week for the past 3 months or longer)

You may not qualify if:

• 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

Sponsors & Collaborators

• Hong Kong Metropolitan University: lead

MeSH Terms

Conditions

Cognitive Dysfunction

Condition Hierarchy (Ancestors)

Cognition Disorders; Neurocognitive Disorders; Mental Disorders

Study Officials

• Chow Ka-Man, Ph.D.

  Hong Kong Metropolitan University

  PRINCIPAL INVESTIGATOR

Central Study Contacts

Chow Ka-Man, Ph.D.

CONTACT

852+ 39708721; akmchow@hkmu.edu.hk

Study Design

• Study Type: observational
• Observational Model: CASE ONLY
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: July 24, 2026
• First Posted: July 29, 2026
• Study Start (Estimated): September 1, 2027
• Primary Completion (Estimated): January 1, 2028
• Study Completion (Estimated): February 1, 2028
• Last Updated: July 29, 2026

Record last verified: 2026-07

Data Sharing

• IPD Sharing: Will share
• Shared Documents: STUDY PROTOCOL, ICF
• Time Frame: Start Date: 6 months after publication of the main study results End Date: 5 years after study completion (January 2033)
• Access Criteria: IPD and supporting documents (study protocol, informed consent form, and data dictionary) will be made available to qualified researchers upon reasonable request for the purpose of academic research or meta-analysis. Requests should be directed to the Principal Investigator (Dr. Ariel Chow Ka Man) via email. A formal data sharing agreement will be required. The agreement will specify the purpose of data use, data security requirements, and prohibition of re-identification of participants. Requests will be reviewed by the Principal Investigator and co-investigators to ensure scientific merit and compliance with ethics requirements. Data will be provided in de-identified format.