Abstract
Healthy Eating is a two-part system that should strike a balance between food quality and food quantity. In this study, we have designed, developed, and evaluated a nutrition app called, Easy Nutrition to highlight the nutritional value/quality of the food we eat. We introduced the novel concept of Nuval rather than old concepts such as calorie counting. In this context, Easy Nutrition presents the food nutrition in a simple, easy to understand manner. Easy Nutrition also tackles the cultural differences by suggesting recipes tailored to users’ food preferences. This paper delineates the build and evaluate phase of Easy Nutrition. Easy Nutrition has been evaluated from a sociotechnical perspective in for its of utility and quality. We conducted a cross-sectional study on Amazon Mechanical Turk platform to evaluate Easy Nutrition on a wide population. The results show that Easy Nutrition demonstrates a fairly high level of usability (SUS = 69.1), attractiveness (mean = 1.59), and hedonic and pragmatic quality.
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Notes
- 1.
The Intelligent Nutrition Engine is an algorithm developed by the authors and published before in the proceeding of AMIA 2017 [12].
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Alrige, M., Chatterjee, S. (2018). Easy Nutrition: A Customized Dietary App to Highlight the Food Nutritional Value. In: Chatterjee, S., Dutta, K., Sundarraj, R. (eds) Designing for a Digital and Globalized World. DESRIST 2018. Lecture Notes in Computer Science(), vol 10844. Springer, Cham. https://doi.org/10.1007/978-3-319-91800-6_9
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