ASSESSING THE QUALITY OF EXPERT JUDGMENT - ISSUES AND ANALYSIS

被引:111
作者
BOLGER, F [1 ]
WRIGHT, G [1 ]
机构
[1] BRISTOL BUSINESS SCH,BRISTOL,ENGLAND
关键词
EXPERT JUDGMENT; TASK ANALYSIS; DECISION SUPPORT;
D O I
10.1016/0167-9236(94)90061-2
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Frequently the same biases have been manifest in experts as by students in the laboratory, but expertise studies are often no more ecologically valid than laboratory studies because the methods used in both are similar. Further, real-world tasks vary in their learnability, or the availability of outcome feedback necessary for a judge to improve performance with experience. We propose that good performance will be manifest when both ecological validity and learnability are high, but that performance will be poor when one of these is low. Finally, we suggest how researchers and practitioners might use these task-analytic constructs in order to identify true expertise for the formulation of decision support.
引用
收藏
页码:1 / 24
页数:24
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