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.
Studienübersicht
Status
Status
Bedingungen
Bedingungen
Intervention / Behandlung
Intervention / Behandlung
Detaillierte Beschreibung
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).
Studientyp
Studientyp
Einschreibung (Geschätzt)
Einschreibung
Kontakte und Standorte
Studienkontakt
Studienkontakt
- Name: Chow Ka-Man, Ph.D.
- Telefonnummer: 852+ 39708721
- E-Mail: akmchow@hkmu.edu.hk
Teilnahmekriterien
Zulassungskriterien
Zulassungskriterien
Studienberechtigtes Alter
- Erwachsene
- Älterer Erwachsener
Akzeptiert gesunde Freiwillige
Probenahmeverfahren
Studienpopulation
Beschreibung
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
Studienplan
Wie ist die Studie aufgebaut?
Designdetails
Anzahl der Gruppen / Kohorten
Kohorten und Interventionen
Gruppe / KohorteGruppe / Kohorte |
Intervention / BehandlungIntervention / Behandlung |
|---|---|
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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.
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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.
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Was misst die Studie?
Primäre Ergebnismessungen
Primäre Ergebnismessungen
Ergebnis Maßnahme |
Maßnahmenbeschreibung |
Zeitfenster |
|---|---|---|
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Usability and Acceptability of the Web-Based AI Tool
Zeitfenster: Assessed at the end of the 2-week testing period
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Participants' perceived ease of use and acceptability of the AI web tool for photographing Cantonese meals and receiving cMIND dietary feedback.
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Assessed at the end of the 2-week testing period
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Sekundäre Ergebnismessungen
Sekundäre Ergebnismessungen
Ergebnis Maßnahme |
Maßnahmenbeschreibung |
Zeitfenster |
|---|---|---|
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Feasibility of Meal Photo-Taking
Zeitfenster: Over the 2-week testing period
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Proportion of participants able to complete at least 10 days of meal photos over the two-week period.
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Over the 2-week testing period
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Qualitative User Feedback
Zeitfenster: At the end of the 2-week testing period
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Participants' experiences, challenges, and suggestions regarding the web tool, collected through semi-structured interviews.
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At the end of the 2-week testing period
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Mitarbeiter und Ermittler
Sponsor
Sponsor
Ermittler
Ermittler
- Hauptermittler: Chow Ka-Man, Ph.D., Hong Kong Metropolitan University
Studienaufzeichnungsdaten
Haupttermine studieren
Studienbeginn (Geschätzt)
Studienbeginn
Primärer Abschluss (Geschätzt)
Primärer Abschluss
Studienabschluss (Geschätzt)
Studienabschluss
Studienanmeldedaten
Zuerst eingereicht
Zuerst eingereicht
Zuerst eingereicht, das die QC-Kriterien erfüllt hat
Zuerst eingereicht, das die QC-Kriterien erfüllt hat
Zuerst gepostet (Tatsächlich)
Zuerst gepostet
Studienaufzeichnungsaktualisierungen
Letztes Update gepostet (Tatsächlich)
Letztes Update gepostet
Letztes eingereichtes Update, das die QC-Kriterien erfüllt
Letztes eingereichtes Update, das die QC-Kriterien erfüllt
Zuletzt verifiziert
Zuletzt verifiziert
Mehr Informationen
Begriffe im Zusammenhang mit dieser Studie
Schlüsselwörter
- ältere Erwachsene
- leichte kognitive Einschränkung
- Machbarkeitsstudie
- diätetische Einhaltung
- gesundes altern
- Akzeptanzstudie
- Ernährungsüberwachung
- 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
Zusätzliche relevante MeSH-Bedingungen
Andere Studien-ID-Nummern
Andere Studien-ID-Nummern
- FRSF/2026/08
Plan für individuelle Teilnehmerdaten (IPD)
Planen Sie, individuelle Teilnehmerdaten (IPD) zu teilen?
Beschreibung des IPD-Plans
IPD-Sharing-Zeitrahmen
IPD-Sharing-Zugriffskriterien
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.
Art der unterstützenden IPD-Freigabeinformationen
- STUDIENPROTOKOLL
- ICF
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