Evidence accumulation models transform observed choices and associated response times into psychologically meaningful constructs such as the strength of evidence and the degree of caution. Standard versions of these models were developed for rapid (~1 second) choices about simple stimuli, and have recently been elaborated to some degree to address more complex stimuli and response methods. However, these elaborations can be difficult to use with designs and measurements typically encountered in complex applied settings. We test the applicability of two standard accumulation models – the diffusion (Ratcliff & McKoon, 2008) and the LBA (Brown & Heathcote, 2008) – to data from a task representative of many applied situations: the detection of heterogeneous multi-attribute targets in a simulated unmanned aerial vehicle (UAV) operator task. Despite responses taking more than two seconds and complications added by realistic features, such as a complex target classification rule, interruptions from a simultaneous UAV navigation task, and time pressured choices about several concurrently present potential targets, these models performed well descriptively. They also provided a coherent psychological explanation of the effects of decision uncertainty and workload manipulations. Our results support the wider application of standard evidence accumulation models to applied decision-making settings.

Item Type:	Refereed Article
Research Division:	Psychology and Cognitive Sciences
Research Group:	Cognitive Sciences
Research Field:	Decision Making
Objective Division:	Expanding Knowledge
Objective Group:	Expanding Knowledge
Objective Field:	Expanding Knowledge in Psychology and Cognitive Sciences
Author:	Heathcote, A (Professor Andrew Heathcote)
ID Code:	104678
Year Published:	2016
Web of Science® Times Cited:	1
Deposited By:	Medicine (Discipline)
Deposited On:	2015-11-18
Last Modified:	2017-05-16
Downloads:	0