...
首页> 外文期刊>Journal of the American Dietetic Association >Tests of the Accuracy and Speed of Categorizing Foods into Child vs Professional Categories Using Two Methods of Browsing with Children
【24h】

Tests of the Accuracy and Speed of Categorizing Foods into Child vs Professional Categories Using Two Methods of Browsing with Children

机译:使用两种带孩子浏览的方法对将食物分类为儿童和专业类别的准确性和速度进行测试

获取原文
获取原文并翻译 | 示例

摘要

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.
机译:这项研究测试了在显示儿童生成的食物而非专业生成的食物类别时,儿童是否可以更准确,快速地对食物进行分类,以及类似于Apple iTunes(Cupertino,CA)的图形吸引人的浏览过程是否完成了“ cover flow”图形用户界面这比更常见的树视图结构更好。 2008年秋季,在贝勒医学院(德克萨斯州休斯顿)招募了104位8至13岁的多种族儿童,并将他们随机分配给两种浏览程序:覆盖流(类别中的食物拼贴)或树状视图(类别中的食物类别)清单)。在每种浏览条件下,儿童将相同的随机订购的26种食物分类为儿童和专业组织的类别(每个儿童随机排序的方法)。由注册营养师确定是否接受分类。分类速度由计算机记录。通过方差的重复测量分析确定方法之间的差异。年龄较小的孩子(8至9岁)往往接受程度较低,分类速度较快。最快的分类是通过树形结构中的子类别获得的。儿童的计算机化饮食报告可以使用儿童生成的食物类别和树结构来组织食物,以便在分层组织的结构中进行浏览,以提高分类速度,但不能提高准确性。 9岁以下的儿童可能不适合使用计算机召回。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号