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Advances in Human-Computer Interaction
Volume 2012 (2012), Article ID 790304, 7 pages
Research Article

Decision Aiding to Overcome Biases in Object Identification

College of Engineering and Computer Science, Wright State University, Dayton, OH 45435, USA

Received 1 November 2011; Revised 10 February 2012; Accepted 17 February 2012

Academic Editor: Kerstin S. Eklundh

Copyright © 2012 Mary Fendley and S. Narayanan. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Human decision makers typically use heuristics under time-pressured situations. These heuristics can potentially degrade task performance through the impact of their associated biases. Using object identification in image analysis as the context, this paper identifies cognitive biases that play a role in decision making. We propose a decision support system to help overcome these biases in this context. Results show that the decision support system improved human decision making in object identification, including metrics such as time taken to identify targets in an image set, accuracy of target identification, accuracy of target classification, and quantity of false positive identification.