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dc.contributor.authorSu, YLen_US
dc.contributor.authorLin, DYMen_US
dc.date.accessioned2014-12-08T15:20:27Z-
dc.date.available2014-12-08T15:20:27Z-
dc.date.issued1998-01-01en_US
dc.identifier.issn0747-5632en_US
dc.identifier.urihttp://hdl.handle.net/11536/14548-
dc.description.abstractIn many emergency incidents, human operators need to derive countermeasures based an contingency rules under time pressure. Since people tend to be overconfident regarding their performance levels, it ir necessary that the operators be well trained to calibrate proper decision confidence in the safety-related domain. This paper examines the effectiveness of using expert systems to train for the desired calibration. Emergency management of chemical spills was selected to exemplify the rule-based decision task. An expert system in the domain was developed to serve as the training tool. A total of 40 student subjects participated in an experiment in which they were asked to resolve spill scenarios under the manipulation of training and deadline conditions. The experiment results indicate that people tend to overestimate their performance capabilities when reasoning with a rule-based knowledge set, especially with the presence of time constraints. The results also show that the manifestation of overconfidence can be reduced for individuals who undergo the expert-system calibration training. The implications of the findings are examined in this paper. (C) 1997 Elsevier Science Ltd.en_US
dc.language.isoen_USen_US
dc.subjectexpert systemsen_US
dc.subjecttrainingen_US
dc.subjectoverconfidenceen_US
dc.titleThe impact of expert-system-based training on calibration of decision confidence in emergency managementen_US
dc.typeArticleen_US
dc.identifier.journalCOMPUTERS IN HUMAN BEHAVIORen_US
dc.citation.volume14en_US
dc.citation.issue1en_US
dc.citation.spage181en_US
dc.citation.epage194en_US
dc.contributor.department工業工程與管理學系zh_TW
dc.contributor.departmentDepartment of Industrial Engineering and Managementen_US
dc.identifier.wosnumberWOS:A1998YD38000011-
dc.citation.woscount2-
Appears in Collections:Articles


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