An Evidence Accumulation Model for Conflict Detection Performance in a Simulated Air Traffic Control Task

Neal, Andrew and Kwantes, Peter J. (2009) An Evidence Accumulation Model for Conflict Detection Performance in a Simulated Air Traffic Control Task. Human Factors, 51 2: 164-180. doi:10.1177/0018720809335071


Author Neal, Andrew
Kwantes, Peter J.
Title An Evidence Accumulation Model for Conflict Detection Performance in a Simulated Air Traffic Control Task
Journal name Human Factors   Check publisher's open access policy
ISSN 0018-7208
Publication date 2009-04-01
Year available 2009
Sub-type Article (original research)
DOI 10.1177/0018720809335071
Volume 51
Issue 2
Start page 164
End page 180
Total pages 17
Editor Nancy Cooke
Place of publication United States
Publisher Sage Publications, Inc
Collection year 2010
Language eng
Subject C1
170202 Decision Making
880303 Air Safety
Abstract 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. Method: 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. Conclusion: The results demonstrate that evidence accumulation models provide a good account of performance on a conflict detection task. Application: 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.
Formatted abstract
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. Method: 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. Conclusion: The results demonstrate that evidence accumulation models provide a good account of performance on a conflict detection task. Application: 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.
Keyword signal detection (perception)
reaction time
air traffic control
conflict detection
random walk
relative judgement
decision theory
psychophysical measurement
mathematical modeling
Q-Index Code C1
Q-Index Status Confirmed Code

Document type: Journal Article
Sub-type: Article (original research)
Collections: 2010 Higher Education Research Data Collection
School of Psychology Publications
 
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Citation counts: TR Web of Science Citation Count  Cited 14 times in Thomson Reuters Web of Science Article | Citations
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Created: Fri, 04 Sep 2009, 20:27:20 EST