NDLI: Helping Children Eat Well via Mobile Software Technologies

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Helping Children Eat Well via Mobile Software Technologies

Content Provider	ACM Digital Library
Author	Vylegzhanina, Violetta Schmidt, Douglas C. Hull, Pamela Emerson, Janice S. Mulvaney, Shelagh Quirk, Meghan E.
Abstract	This paper describes an Android mobile app we developed to simplify the shopping experience of participants in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC), which provides low-income families vouchers to purchase life-stage appropriate, nutritious foods. Our app helps alleviate the tedious and error-prone use of paper WIC vouchers by allowing participants to scan food items in the store and automatically identify if an item (including its size and quantity) is authorized for the enrolled WIC participant. In addition to serving as a shopping tool, the app also provides a platform for nutrition education through healthy tip push notifications and a gallery of easy-to-fix snack recipes that are tailored for WIC participant shopping choices and other racial/ethnic patterns in dietary preferences. This paper explains the key domain and technical challenges we faced when creating our Android app and describes how we overcame these challenges by applying data normalization, software patterns, and Agile development methods.
Starting Page	9
Ending Page	16
Page Count	8
File Format	PDF
ISBN	9781450321907
DOI	10.1145/2688412.2688413
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-10-21
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Open mhealth Data analysis Software design patterns Agile Mobile app Data normalization Android
Content Type	Text
Resource Type	Article

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