Exploring an Artificial Intelligence-Based, Gamified Phone App Prototype to Track and Improve Food Choices of Adolescent Girls in Vietnam: Acceptability, Usability, and Likeability Study.

Bianca C Braga Phuong Hong Nguyen Noora-Lisa Aberman Frank Doyle Gloria Folson Nga Hoang Phuong Huynh Bastien Koch Peter McCloskey Lan Tran David P Hughes Gelli A

Published in: JMIR formative research (2022)

A phone app prototype designed to track food choice and help adolescent girls from low- and middle-income countries make healthier food choices was found to be acceptable, likable, and usable. Further research is needed to examine the feasibility of using this technology at scale.

Keyphrases

artificial intelligence
machine learning
big data
human health
deep learning
risk assessment
decision making