Identifying functional discrepancies in self monitoring intake applications.
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.
Zhu
Min
M
University of Texas at Houston, TX, USA.
Li
Zhe
Z
Walji
Muhammad F
MF
Zhang
Jiajie
J
D004032:Diet; D015930:Diet Records; D004435:Eating; D016347:Medical Records Systems, Computerized; D009323:Natural Language Processing; D012648:Self Care / Q000379:methods*; D013781:Texas