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推动信息学工具的迭代设计,以促进自闭症科学发展。

Facilitating the iterative design of informatics tools to advance the science of autism.

作者信息

Kaufman David R, Cronin Patrick, Rozenblit Leon, Voccola David, Horton Amanda, Shine Alisabeth, Johnson Stephen B

机构信息

Department of Biomedical Informatics, Columbia University, New York, NY, USA.

出版信息

Stud Health Technol Inform. 2011;169:955-9.

PMID:21893887
Abstract

This paper describes a usability evaluation study of an innovative first generation system (Data Dig) designed to retrieve phenotypic data from the large SFARI data set of 2700 families each of which has one child affected with autism spectrum disorder. The usability methods included a cognitive walkthrough and usability testing. Although the subjects were able to learn to use the system, more than 50 usability problems of varying severity were noted. The problems with the greatest frequency resulted from users being unable to understand meanings of variables, filter categories correctly, use the Boolean filter, and correctly interpret the feedback provided by the system. Subjects had difficulty forming a mental model of the organizational system underlying the database. This precluded them from making informed navigation choices while formulating queries. Clinical research informatics is a new and immensely promising discipline. However in its nascent stage, it lacks a stable interaction paradigm to support a range of users on pertinent tasks. This presents great opportunity for researchers to further this science by harnessing the powers of user-centered iterative design.

摘要

本文描述了一项针对创新型第一代系统(数据挖掘系统)的可用性评估研究,该系统旨在从包含2700个家庭的大型西蒙斯基金会自闭症研究计划(SFARI)数据集中检索表型数据,每个家庭都有一个患有自闭症谱系障碍的孩子。可用性评估方法包括认知走查和可用性测试。尽管受试者能够学会使用该系统,但仍发现了50多个不同严重程度的可用性问题。出现频率最高的问题是用户无法理解变量的含义、正确筛选类别、使用布尔过滤器以及正确解释系统提供的反馈。受试者难以构建数据库底层组织系统的心理模型。这使得他们在制定查询时无法做出明智的导航选择。临床研究信息学是一门新兴且极具前景的学科。然而,在其初期阶段,它缺乏一个稳定的交互范式来支持一系列用户完成相关任务。这为研究人员通过利用以用户为中心的迭代设计的力量来推动这门科学发展提供了巨大机遇。

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