@ARTICLE{10.3389/fcomp.2019.00001, AUTHOR={Juan, M.-Carmen and Charco, Jorge L. and García-García, Inmaculada and Mollá, Ramón}, TITLE={An Augmented Reality App to Learn to Interpret the Nutritional Information on Labels of Real Packaged Foods}, JOURNAL={Frontiers in Computer Science}, VOLUME={1}, YEAR={2019}, URL={https://www.frontiersin.org/articles/10.3389/fcomp.2019.00001}, DOI={10.3389/fcomp.2019.00001}, ISSN={2624-9898}, ABSTRACT={Healthy eating habits involve controlling your diet. It is important to know how to interpret the nutritional information of the packaged foods that you consume. These packaged foods are usually processed and contain carbohydrates and fats. Monitoring carbohydrates intake is particularly important for weight-loss diets and for some pathologies such as diabetes. In this paper, we present an augmented reality app for helping interpret the nutritional information about carbohydrates in real packaged foods with the shape of boxes or cans. The app tracks the full object and guides the user in finding the surface or area of the real package where the information about carbohydrates is located using augmented reality and helps the user to interpret this information. The portions of carbohydrates (also called carb choices or carb servings) that correspond to the visualized food are shown. We carried out a study to check the effectiveness of our app regarding learning outcomes, usability, and perceived satisfaction. A total of 40 people participated in the study (20 men and 20 women). The participants were between 14 and 55 years old. The results reported that their initial knowledge about carb choices was very low. This indicates that education about nutritional information in packaged foods is needed. An analysis of the pre-knowledge and post-knowledge questionnaires showed that the users had a statistically significant increase in knowledge about carb choices using our app. Gender and age did not influence the knowledge acquired. The participants were highly satisfied with our app. In conclusion, our app and similar apps could be used to effectively learn how to interpret the nutritional information on the labels of real packaged foods and thus help users acquire healthy life habits.} }