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Identifying functional discrepancies in self monitoring intake applications
Min Zhu1, Zhe Li, Muhammad F Walji
1University of Texas at Houston, TX, USA.
Abstract:
Self Monitoring Intake (SMI) has been shown to be an effective method to motivate adherence to a healthy diet. The key function in SMI applications is to document daily dietary intake, which requires users to select intake from a long pick list of items. Current approaches for food item selection are poor in usability because of insufficient representation of knowledge behind the work domain. This poster presents a new approach to discover and model the underlying knowledge.
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