ArticleJournal of human nutrition and dietetics : the official journal of the British Dietetic Association2022
Evaluating augmented reality for 'real life' teaching of food portion concepts.
Article in Journal of human nutrition and dietetics : the official journal of the British Dietetic Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Application of Augmented Reality Technology as a Dietary Monitoring and Control Measure Among Adults: A Systematic Review.Nutrients · 2025Pooled it
- Development and Validation of a Photographic Food Atlas for Portion Size Estimation and Educational Use in Türkiye.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2026Article
- Validity of the PortionSize App for Assessing Children's Dietary Intake: Results From a Pilot Study Conducted in Controlled and Free-Living Settings.Pediatric obesity · 2026Article
- Integrating Cutting-Edge Technologies in Food Sensory and Consumer Science: Applications and Future Directions.Foods (Basel, Switzerland) · 2025Review
- The impacts of augmented reality teaching tools in health professional education.Canadian journal of dental hygiene : CJDH = Journal canadien de l'hygiene dentaire : JCHD · 2025Review
- Enhancing consumer sensory science approach through augmented virtuality.Current research in food science · 2024Article
- Evaluating augmented reality for 'real life' teaching of food portion concepts.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2022Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEstimation of food portions is a vital skill for dietitians, which is developed during formal nutrition training. Skill development is often accomplished by training with food portion estimation tools. These tools can vary in design but evaluations often reveal them to be limited in their effectiveness and generally impractical for everyday use. The aim of this study was to develop and evaluate an augmented reality (AR) tool for the estimation food portions.
methodsAn online, quasi-experimental, randomised pre-test post-test study was conducted to evaluate the effectiveness of three food portion tools with nutrition students. These tools consisted of an online, AR, and an infographic tool (control). Students tested 10 different food images and were asked to estimate food portion sizes with and without assistance of a portion tool to determine absolute error, relative error, and overall improvement in estimation.
resultsA total of 33 participants enrolled in the study with 26 (72.0%) completing the study. The mean absolute error was lowest in the online group (53.0%), followed by AR (59.5%) and control (64.0%). Relative error scores revealed higher accuracy for the AR group (45.5%) followed by online (43.5%), and control group (29.0%). Overall improvement in estimation was highest in the AR group (+12.2%) followed by the online (+11.6%) tool with a decrease seen for the infographic (-1.7%) tool.
conclusionsThe use of technology, notably AR technology, may provide some advantage when training nutrition students in food portion estimation, although further investigation is advised.
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