DocumentCode
1609952
Title
The design of a mobile portion size estimation interface for a low literacy population
Author
Chaudry, Beenish ; Connelly, Kay ; Siek, Katie A. ; Welch, Janet L.
Author_Institution
Dept. of Comput. Sci., Indiana Univ., Bloomington, IN, USA
fYear
2011
Firstpage
160
Lastpage
167
Abstract
Being aware of one´s portion sizes is a key component of maintaining a healthy diet, however, it is difficult for individuals especially low literacy populations to estimate their consumption. Nutritional monitoring applications can help but most of them are designed for people with high literacy and numeracy skills. In this paper, we designed and evaluated six portion size estimation interfaces through a Wizard of Oz based experiment using low-fidelity prototypes with ten varying literacy individuals. The interfaces were designed based on the cognitive strategies adults use for reporting portion sizes in diet recall studies. Participants made correct estimates with interfaces designed for liquid and amorphous foods, but had difficulties with those designed for solid foods. Based on these findings, we provide recommendations for designing accurate and low literacy-accessible portion size estimating mobile interfaces.
Keywords
cognition; medical computing; mobile computing; Wizard of Oz based experiment; cognitive strategies; low literacy population; mobile portion size estimation interface; nutritional monitoring applications; Atmospheric measurements; Containers; Estimation; Liquids; Particle measurements; Shape; Solids; interface design; low fidelity prototype; low literacy; low numeracy; mobile application; portion estimation aid;
fLanguage
English
Publisher
ieee
Conference_Titel
Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2011 5th International Conference on
Conference_Location
Dublin
Print_ISBN
978-1-61284-767-2
Type
conf
Filename
6038783
Link To Document