Development and evaluation of an artificial intelligence-enhanced dietary intake reporting application in young adults

Development and evaluation study of AI-enhanced dietary intake reporting application on the young adults: a randomized controlled trial

Status

Recruiting

Phases

Unknown

Study type

Interventional

Source

ISRCTN

Registry ID

ISRCTN27511195

Enrollment

Registered

2022-11-28

Start date

2021-12-22

Completion date

Unknown

Last updated

2023-01-09

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Dietary intake in young adults Not Applicable

Interventions

Each participant will complete a questionnaire to collect background and baseline data that allows the assistant researchers to contact them and perform randomization. The baseline data will be random

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: 1. Aged 20-25 years old 2. Capable of reading and operating the application on their mobile phone

Exclusion criteria

Exclusion criteria: 1. Under any form of dietary control 2. Engaged in deliberate weight loss 3. On medication 4. Pregnancy 5. Diabetic 6. High cholesterol 7. High blood pressure

Design outcomes

Primary

Measure	Time frame
1. Accuracy of reporting measured using reporting errors made in the application (app) at the time of intervention 2. Response time recorded and embedded in the apps in milliseconds for the time elapsed from a user starting to completion of food reporting	—

Secondary

Measure	Time frame
Participants' perceptions of the utility of each app were measured using the System Usability Scale (SUS), with ten items scored using a 5-point Likert scale from 1 (Strongly Disagree) to 5 (Strongly Agree) at the end of the intervention.	—

Countries

Taiwan

Contacts

Public ContactYing-Chieh Liu

ycl30@mail.cgu.edu.tw+886 955340448

Outcome results

None listed

Source: ISRCTN (via WHO ICTRP) · Data processed: Feb 4, 2026