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A gamified mobile app for food allergens detection
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With adverse food reactions increasing worldwide, more accurate and easy-to-use systems to identify food triggers are needed. Except for severe food allergies, the most common diagnostic method is the self-monitoring of diet and symptoms by the patient, which can be imprecise and burdensome. The shortcomings of this method, alongside technological improvements, have lead to a growing interest in automatic food-tracking. Still, while mHealth apps generally show promise for empowering young adults with chronic conditions, existing food-tracking apps suffer from low engagement, hindering their effectiveness. This project aims to design an interactive prototype for young adults (20-25 yo) that facilitates food trigger identification by correlating meals and symptoms data entered in the app by the user. To overcome the noted engagement issues, this project employs a user-centered design approach for an improved user experience. Furthermore, a literature
review, a comparative analysis, and interviews revealed a number of ways to make the system more engaging to its users, employing techniques such as gamification and voice data recording while offering personalized support throughout the symptoms’ cause identification process. In the end, the system underwent usability tests and a SUS evaluation, obtaining a favorable result.
Descrição
Palavras-chave
Aplicação para telemóvel Alergia Health mobile application Food allergy Food intolerance Gamification Voice input Self-management User engagement Food trigger detection