The author addresses the implications in decision-support system (DSS) design of giving consideration to the problem typology for the purpose of determining whether there are features characteristic to the task that are conducive to human pattern-recognition skills. An assumption is that effective utilization of these skills for such tasks will significantly impact system performance. The production/manufacturing task domain is identified as potentially benefiting from this approach. However, to integrate this approach into the DSS design process, experimental methods need to be developed that enable meaningful human pattern-recognition activities to be estimated. The author describes current research aimed at accomplishing this objective for supervisory control of flexible manufacturing systems and human-computer interactive facilities layout.
|Title of host publication||Unknown Host Publication Title|
|Place of Publication||New York, NY, USA|
|Number of pages||3|
|State||Published - Dec 1 1987|
ASJC Scopus subject areas