Heuristic-based information acquisition and decision making among pilots.
OBJECTIVE
This research was designed to examine the impact of heuristic-based approaches to the acquisition of task-related information on the selection of an optimal alternative during simulated in-flight decision making.


BACKGROUND
The work integrated features of naturalistic and normative decision making and strategies of information acquisition within a computer-based, decision support framework.


METHODS
The study comprised two phases, the first of which involved familiarizing pilots with three different heuristic-based strategies of information acquisition: frequency, elimination by aspects, and majority of confirming decisions. The second stage enabled participants to choose one of the three strategies of information acquisition to resolve a fourth (choice) scenario.


RESULTS
The results indicated that task-oriented experience, rather than the information acquisition strategies, predicted the selection of the optimal alternative. It was also evident that of the three strategies available, the elimination by aspects information acquisition strategy was preferred by most participants.


CONCLUSIONS
It was concluded that task-oriented experience, rather than the process of information acquisition, predicted task accuracy during the decision-making task. It was also concluded that pilots have a preference for one particular approach to information acquisition.


CONCLUSIONS
Applications of outcomes of this research include the development of decision support systems that adapt to the information-processing capabilities and preferences of users.
Wiggins
Mark W
MW
School of Psychology, Bankstown Campus, University of Western Sydney, Locked Bag 1797 Penrith South, DC, NSW 1797, Australia. m.wiggins@uws.edu.au
Bollwerk
Sandra
S
D000293:Adolescent; D000328:Adult; D000368:Aged; D001359:Aviation; D003657:Decision Making; D003658:Decision Making, Computer-Assisted; D003661:Decision Support Techniques; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D012106:Research; D013647:Task Performance and Analysis; D000078329:Workforce