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dc.contributor.authorLin, DYMen_US
dc.contributor.authorSu, YLen_US
dc.date.accessioned2014-12-08T15:48:55Z-
dc.date.available2014-12-08T15:48:55Z-
dc.date.issued1998-07-01en_US
dc.identifier.issn0144-929Xen_US
dc.identifier.urihttp://hdl.handle.net/11536/32535-
dc.description.abstractIn many emergency situations, human operators are required to derive countermeasures based on contingency rules whilst under time pressure. In order to contribute to the human success in playing such a role, the present study intends to examine the effectiveness of using expert systems to train for the time-constrained decision domain. Emergency management of chemical spills was selected to exemplify the rule-based decision task. An Expert System in this domain was developed to serve as the training tool. Forty subjects participated in an experiment in which a computerized information board was used to capture subjects' rule-based performance under the manipulation of time pressure and training. The experiment results indicate that people adapt to time pressure by accelerating their processing of rules where the heuristic of cognitive availability was employed. The simplifying strategy was found to be the source of human error that resulted in undesired decision performance. The results also show that the decision behaviour of individuals who undergo the expert system training is directed to a normative and expeditious pattern, which leads to an improved level of decision accuracy. Implications of these findings are examined in the present study.en_US
dc.language.isoen_USen_US
dc.titleThe effect of time pressure on expert system based training for emergency managementen_US
dc.typeArticleen_US
dc.identifier.journalBEHAVIOUR & INFORMATION TECHNOLOGYen_US
dc.citation.volume17en_US
dc.citation.issue4en_US
dc.citation.spage195en_US
dc.citation.epage202en_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:000075558000003-
dc.citation.woscount3-
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