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Evaluating augmented reality for ‘real life’ teaching of food portion concepts

BACKGROUND: Estimation 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 thei...

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Autores principales: Mellos, Ioannis, Probst, Yasmine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9790224/
https://www.ncbi.nlm.nih.gov/pubmed/35419898
http://dx.doi.org/10.1111/jhn.13016
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author Mellos, Ioannis
Probst, Yasmine
author_facet Mellos, Ioannis
Probst, Yasmine
author_sort Mellos, Ioannis
collection PubMed
description BACKGROUND: Estimation 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. METHODS: An 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. RESULTS: A 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. CONCLUSIONS: The 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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spelling pubmed-97902242022-12-28 Evaluating augmented reality for ‘real life’ teaching of food portion concepts Mellos, Ioannis Probst, Yasmine J Hum Nutr Diet Workforce Education and Training BACKGROUND: Estimation 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. METHODS: An 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. RESULTS: A 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. CONCLUSIONS: The use of technology, notably AR technology, may provide some advantage when training nutrition students in food portion estimation, although further investigation is advised. John Wiley and Sons Inc. 2022-05-11 2022-12 /pmc/articles/PMC9790224/ /pubmed/35419898 http://dx.doi.org/10.1111/jhn.13016 Text en © 2022 The Authors. Journal of Human Nutrition and Dietetics published by John Wiley & Sons Ltd on behalf of British Dietetic Association. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Workforce Education and Training
Mellos, Ioannis
Probst, Yasmine
Evaluating augmented reality for ‘real life’ teaching of food portion concepts
title Evaluating augmented reality for ‘real life’ teaching of food portion concepts
title_full Evaluating augmented reality for ‘real life’ teaching of food portion concepts
title_fullStr Evaluating augmented reality for ‘real life’ teaching of food portion concepts
title_full_unstemmed Evaluating augmented reality for ‘real life’ teaching of food portion concepts
title_short Evaluating augmented reality for ‘real life’ teaching of food portion concepts
title_sort evaluating augmented reality for ‘real life’ teaching of food portion concepts
topic Workforce Education and Training
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9790224/
https://www.ncbi.nlm.nih.gov/pubmed/35419898
http://dx.doi.org/10.1111/jhn.13016
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