A preliminary assessment of the robustness of signal detection theory estimates using Monte Carlo simulations for human factors professionals

Brittany Neilson, Dmitrii Paniukov, Martina I. Klein

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Signal detection theory is commonly utilized in the field of human factors. Despite its common use, the assessment of the signal detection theory assumptions is not often cited. The purpose of this research was to provide a preliminary assessment of the impact of assumption violations on estimates of sensitivity commonly used in signal detection theory research. This assessment was performed using Monte Carlo simulations. Our research indicated that violating the homogeneity of variance assumption resulted in estimates of sensitivity varying with changes in the response criterion. However, an unequal number of signal and noise trials, which is common in vigilance research, did not impact the estimates of sensitivity. Based upon our findings, caution should be taken with regard to violations of homogeneity of variance. Future research aims to determine the impact of multiple assumption violations on estimates of sensitivity.

Original languageEnglish
Title of host publication62nd Human Factors and Ergonomics Society Annual Meeting, HFES 2018
PublisherHuman Factors and Ergonomics Society Inc.
Pages1301-1305
Number of pages5
ISBN (Electronic)9781510889538
DOIs
StatePublished - 2018
Event62nd Human Factors and Ergonomics Society Annual Meeting, HFES 2018 - Philadelphia, United States
Duration: Oct 1 2018Oct 5 2018

Publication series

NameProceedings of the Human Factors and Ergonomics Society
Volume2
ISSN (Print)1071-1813

Conference

Conference62nd Human Factors and Ergonomics Society Annual Meeting, HFES 2018
CountryUnited States
CityPhiladelphia
Period10/1/1810/5/18

Fingerprint Dive into the research topics of 'A preliminary assessment of the robustness of signal detection theory estimates using Monte Carlo simulations for human factors professionals'. Together they form a unique fingerprint.

  • Cite this

    Neilson, B., Paniukov, D., & Klein, M. I. (2018). A preliminary assessment of the robustness of signal detection theory estimates using Monte Carlo simulations for human factors professionals. In 62nd Human Factors and Ergonomics Society Annual Meeting, HFES 2018 (pp. 1301-1305). (Proceedings of the Human Factors and Ergonomics Society; Vol. 2). Human Factors and Ergonomics Society Inc.. https://doi.org/10.1177/1541931218621298