An evidence accumulation model for conflict detection performance in a simulated air traffic control task.
OBJECTIVE
The aim of this article is to develop a formal model of conflict detection performance.


BACKGROUND
Our model assumes that participants iteratively sample evidence regarding the state of the world and accumulate it over time. A decision is made when the evidence reaches a threshold that changes over time in response to the increasing urgency of the task.


METHODS
Two experiments were conducted to examine the effects of conflict geometry and timing on response proportions and response time.


RESULTS
The model is able to predict the observed pattern of response times, including a nonmonotonic relationship between distance at point of closest approach and response time, as well as effects of angle of approach and relative velocity.


CONCLUSIONS
The results demonstrate that evidence accumulation models provide a good account of performance on a conflict detection task.


CONCLUSIONS
Evidence accumulation models are a form of dynamic signal detection theory, allowing for the analysis of response times as well as response proportions, and can be used for simulating human performance on dynamic decision tasks.
Neal
Andrew
A
School of Psychology, University of Queensland, Brisbane, Australia. andrew@psy.uq.edu.au
Kwantes
Peter J
PJ
D000060:Accidents, Aviation / Q000517:prevention & control*; D000293:Adolescent; D000328:Adult; D003657:Decision Making; D005260:Female; D006801:Humans; D008297:Male; D008962:Models, Theoretical; D018570:Risk Assessment; D013647:Task Performance and Analysis; D014584:User-Computer Interface; D055815:Young Adult