Tests of the accuracy and speed of categorizing foods into child vs professional categories using two methods of browsing with children.
This research tested whether children could categorize foods more accurately and speedily when presented with child-generated rather than professionally generated food categories, and whether a graphically appealing browse procedure similar to the Apple iTunes (Cupertino, CA) "cover flow" graphical user interface accomplished this better than the more common tree-view structure. In Fall 2008, 104 multiethnic children ages 8 to 13 were recruited at the Baylor College of Medicine (Houston, TX) and randomly assigned to two browse procedures: cover flow (collages of foods in a category) or tree view (food categories in a list). Within each browse condition children categorized the same randomly ordered 26 diverse foods to both child and professionally organized categories (with method randomly sequenced per child). Acceptance of categorization was determined by registered dietitians. Speed of categorization was recorded by the computer. Differences between methods were determined by repeated measures analysis of variance. Younger children (8 to 9 years old) tended to have lower acceptance and longer speeds of categorization. The quickest categorization was obtained with child categories in a tree structure. Computerized dietary reporting by children can use child-generated food categories and tree structures to organize foods for browsing in a hierarchically organized structure to enhance speed of categorization, but not accuracy. A computerized recall may not be appropriate for children 9 years of age or younger.
Baranowski
Tom
T
US Department of Agriculture, Agricultural Research Service, Children's Nutrition Research Center, Houston, TX 77030-2600, USA. tbaranow@bcm.tmc.edu
Beltran
Alicia
A
Martin
Shelby
S
Watson
Kathleen B
KB
Islam
Noemi
N
Robertson
Shay
S
Berno
Stephanie
S
Dadabhoy
Hafza
H
Thompson
Debbe
D
Cullen
Karen
K
Buday
Richard
R
Subar
Amy F
AF
Baranowski
Janice
J
D000293:Adolescent; D017677:Age Distribution; D000704:Analysis of Variance; D002648:Child; D034201:Computers, Handheld; D005260:Female; D005502:Food / Q000145:classification*; D006801:Humans; D008297:Male; D011939:Mental Recall; D015596:Nutrition Assessment; D002666:Psychology, Child; D015203:Reproducibility of Results; D013997:Time Factors