Assessing Usability of Human-Machine Interfaces for Life Science Automation Using Computational Cognitive Models

被引：4

作者：

Kaber, David B. ^{[1
]}

Green, Rebecca S.

Kim, Sang-Hwan

Segall, Noa ^{[2
]}

机构：

[1] N Carolina State Univ, Dept Ind & Syst Engn, Raleigh, NC 27695 USA

[2] Duke Univ Med Ctr, Durham, NC USA

来源：

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION | 2011年 / 27卷 / 06期

基金：

美国国家科学基金会;

关键词：

SYSTEM;

D O I：

10.1080/10447318.2011.555295

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The objective of this study was to assess the plausibility of using computational cognitive models for evaluating the usability of human-machine interfaces in supervisory control of high-throughput (biological) screening (HTS) operations. Usability evaluations of new interface prototypes were conducted by comparisons with existing technologies. Model assessment occurred through comparison with human test results. Task completion times and the number of errors were recorded during human performance trials, and task time was predicted in cognitive model trials in tests with two HTS interfaces. Computational GOMSL (Goals, Operators, Methods, and Selection rules Language) models were constructed based on a combination of cognitive task analyses (abstraction hierarchy modeling and goal-directed task analysis). The usability tests revealed improvements in task performance with the new prototypes. The cognitive model outputs were correlated with actual human performance, and the approach was considered useful for evaluating the usability of new interfaces in life sciences automation in the future.

引用

页码：481 / 504

页数：24

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