Decision Aiding to Overcome Biases in Object Identification

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 ro...

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Bibliographic Details
Main Authors: Mary Fendley, S. Narayanan
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Advances in Human-Computer Interaction
Online Access:http://dx.doi.org/10.1155/2012/790304
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Summary: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.
ISSN:1687-5893
1687-5907