کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
553245 | 873460 | 2012 | 8 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Can reduced processing decision support interfaces improve the decision-making of less-experienced incident commanders? Can reduced processing decision support interfaces improve the decision-making of less-experienced incident commanders?](/preview/png/553245.png)
Computer-based decision support systems have been proposed as a tool to improve the decision-making of less-experienced personnel by reducing the information processing demands necessary for decision-making. This study investigated the utility of three decision support system interfaces that differed in their capacity for reduced processing. The participants comprised experienced and less-experienced Fireground Incident Commanders who used the decision support system interfaces to identify the most appropriate entry point to extract a victim from a simulated burning building. The results revealed that reduced processing interfaces enabled less-experienced participants to acquire information using a process equivalent to their more experienced counterparts. However, this process did not result in improvements in the accuracy of the decision-making process. Indeed, the accuracy of experienced participants' decisions was consistently greater than the less-experienced participants, irrespective of the decision support system interface. It was concluded that the success of reduced processing decision support systems amongst less-experienced operators is significantly dependent upon their understanding of the relative value of key features associated with the decision-making process.
► Figreground Commanders' decisions with reduced processing interfaces were examined.
► Inexperienced commanders inclined to process information less selectively.
► Interface design can encourage selective processing and reduce cognitive demands.
► Utility of reduced processing interfaces is dependent on information quality.
Journal: Decision Support Systems - Volume 52, Issue 2, January 2012, Pages 497–504