Decision Aiding to Overcome Biases in Object Identification

Mary Fendley; S. Narayanan

doi:10.1155/2012/790304

journal article Open Access Jan 01, 2012

Decision Aiding to Overcome Biases in Object Identification

Mary Fendley S. Narayanan

Advances in Human-Computer Interaction Vol. 2012 pp. 1-7 · Wiley

View at Publisher Save 10.1155/2012/790304

Abstract

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.

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Metrics

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Citations

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References

Details

Published: Jan 01, 2012
Vol/Issue: 2012
Pages: 1-7
License: View

Authors

M

Mary Fendley

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

S

S. Narayanan

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

Cite This Article

Mary Fendley, S. Narayanan (2012). Decision Aiding to Overcome Biases in Object Identification. Advances in Human-Computer Interaction, 2012, 1-7. https://doi.org/10.1155/2012/790304

Decision Aiding to Overcome Biases in Object Identification

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