ABSTRACT
Background
Evidence on the effectiveness of augmented reality (AR)-based tools for portion size estimation as an educational aid remains limited. In this pilot study, we developed a 3D food model using AR and assessed the feasibility of using this application to teach portion size estimation skills.
Methods
This intervention study involved 43 students (including 38 females) from two dietetic education institutions. Participants were randomly assigned into four groups: (1) text only, (2) text and pictures, (3) food model and (4) AR. Learning effectiveness was evaluated using a pretest of 10 different foods, followed by a 10-min instructional session with the assigned tool, and then a post-test. Participants rated each learning tool for enjoyment, usefulness and recommendation to others on an 11-point Likert scale. Outcomes included the change in the number of correct answers within ± 10% or ± 20% of the true food weight.
Results
Mean acceptability ratings for the text only, text and picture, food model and AR groups were enjoyment (4.1, 5.6, 7.0 and 7.9), usefulness (5.5, 7.4, 8.4 and 8.3) and recommendation to others (3.6, 6.3, 6.3 and 7.1), respectively. The mean changes in correct answers for text only, text and picture, food model and AR groups were 0.7, −1.1, 1.5 and 0.1, respectively, within a 10% error margin, and 1.2, −1.9, 2.0 and 0.8, respectively, within a 20% error margin.
Conclusions
This pilot study suggests that AR-based tools have potential as educational aids for portion size estimation among future dietitians, with acceptability ratings comparable to conventional methods, such as text only, text and pictures, and food models.
Trial Registration: The study was registered with the University Hospital Medical Information Network; UMIN000054307.
Journal of Human Nutrition and Dietetics, Volume 38, Issue 5, October 2025. Read More