cMIND AI Web Tool Usability Study (Hong Kong)
Development and Validation of a Web-Based AI System for Assessing the Cantonese-Style Mediterranean Diet (cMIND) Index
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.
Studieöversikt
Status
Intervention / Behandling
Detaljerad beskrivning
Mild cognitive impairment (MCI) is common among older adults and can progress to dementia. Diet plays an important role in brain health. The cMIND diet is a culturally adapted Chinese version of the Mediterranean-DASH diet, designed to support cognitive function. However, many older adults find it difficult to track their adherence to this diet using traditional methods.
This study is developing and testing a simple web-based AI tool to help older adults in Hong Kong monitor their Cantonese-style meals. Users take photos of their meals (such as dim sum, stir-fries, or congee) using the web app. The AI automatically identifies ingredients in mixed dishes and calculates a cMIND adherence score (0-12), giving immediate personalised feedback on how well the meal supports brain health.
The main part of the study is a small usability and acceptability test. We will recruit 20 community-dwelling older adults aged 60 years and above who regularly eat Cantonese-style meals. Participants should not have a self-reported diagnosis of dementia or Alzheimer's disease, or other psychiatric/medical conditions that would interfere with participation or valid outcome assessment.
Eligible participants will receive a 20-minute training session on how to use the web tool. They will then use the app to photograph their usual meals for at least 10 days over a two-week period, without changing their normal eating habits.
At the end of the two weeks, participants will complete a short online questionnaire about the ease of use and usefulness of the tool. They will also take part in one short individual interview (about 20 minutes, audio-recorded) to share their experiences and suggestions.
This low-risk study aims to understand whether older adults find the AI tool easy and acceptable to use in daily life. The results will help improve the prototype for future larger studies. All data will be kept strictly confidential, and ethics approval has been obtained from the Hong Kong Metropolitan University Research Ethics Committee (Reference: HE-FRSE/2026/08).
Studietyp
Inskrivning (Beräknad)
Kontakter och platser
Studiekontakt
- Namn: Chow Ka-Man, Ph.D.
- Telefonnummer: 852+ 39708721
- E-post: akmchow@hkmu.edu.hk
Deltagandekriterier
Urvalskriterier
Åldrar som är berättigade till studier
- Vuxen
- Äldre vuxen
Tar emot friska volontärer
Testmetod
Studera befolkning
Beskrivning
Inclusion Criteria:
- 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)
Exclusion Criteria:
- 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
Studieplan
Hur är studien utformad?
Designdetaljer
Kohorter och interventioner
Grupp / Kohort |
Intervention / Behandling |
|---|---|
|
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.
|
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.
|
Vad mäter studien?
Primära resultatmått
Resultatmått |
Åtgärdsbeskrivning |
Tidsram |
|---|---|---|
|
Usability and Acceptability of the Web-Based AI Tool
Tidsram: Assessed at the end of the 2-week testing period
|
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
|
Sekundära resultatmått
Resultatmått |
Åtgärdsbeskrivning |
Tidsram |
|---|---|---|
|
Feasibility of Meal Photo-Taking
Tidsram: Over the 2-week testing period
|
Proportion of participants able to complete at least 10 days of meal photos over the two-week period.
|
Over the 2-week testing period
|
|
Qualitative User Feedback
Tidsram: At the end of the 2-week testing period
|
Participants' experiences, challenges, and suggestions regarding the web tool, collected through semi-structured interviews.
|
At the end of the 2-week testing period
|
Samarbetspartners och utredare
Utredare
- Huvudutredare: Chow Ka-Man, Ph.D., Hong Kong Metropolitan University
Studieavstämningsdatum
Studera stora datum
Studiestart (Beräknad)
Primärt slutförande (Beräknad)
Avslutad studie (Beräknad)
Studieregistreringsdatum
Först inskickad
Först inskickad som uppfyllde QC-kriterierna
Första postat (Faktisk)
Uppdateringar av studier
Senaste uppdatering publicerad (Faktisk)
Senaste inskickade uppdateringen som uppfyllde QC-kriterierna
Senast verifierad
Mer information
Termer relaterade till denna studie
Nyckelord
- äldre vuxna
- lätt kognitiv funktionsnedsättning
- förstudie
- kosthållning
- hälsosamt åldrande
- acceptabilitetsstudie
- nutrition monitoring
- cMIND diet
- Cantonese Mediterranean diet
- AI dietary assessment
- web-based AI tool
- meal photo analysis
- Cantonese mixed dishes
- usability testing
- congitive health
- gerontechnology
- AI food recognition
- Cantonese cuisine
- brain health diet
- Hong Kong older adults
Ytterligare relevanta MeSH-villkor
Andra studie-ID-nummer
- FRSF/2026/08
Plan för individuella deltagardata (IPD)
Planerar du att dela individuella deltagardata (IPD)?
IPD-planbeskrivning
Tidsram för IPD-delning
Kriterier för IPD Sharing Access
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.
IPD-delning som stöder informationstyp
- STUDY_PROTOCOL
- ICF
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