The purpose of this research was threefold: (1) Present the a-b SDT model as an alternative framework to overcome the limitations of the underlying SDT model and the traditional measures of sensitivity and criterion setting, (2) Provide empirical support to validate the adequacy of the a-b SDT model, and (3) Conduct a Monte Carlo Study to compare and contrast the strengths and weaknesses of both the traditional and the a-b SDT models across the full spectrum of response values with the goal of providing researchers and practitioners with recommendations regarding the adequacy of each model. The results from this research have both theoretical implications and practical applications. The findings from the empirical study suggest that Green and Swets (1966)'s contention that the detection and response processes are independent from each other is questionable. Furthermore, the findings from the Monte Carlo Study suggest that the a-b SDT model provides more accurate measures to capture the dependency between these two processes. This is particularly important for researchers and practitioners who are interested in studying human-automation interaction factors and how sensory and perceptual factors may affect humans' response biases while interacting with automated systems.
","abstract_html":"<p>The purpose of this research was threefold: (1) Present the <em>a-b</em> SDT model as an alternative framework to overcome the limitations of the underlying SDT model and the traditional measures of sensitivity and criterion setting, (2) Provide empirical support to validate the adequacy of the <em>a-b</em> SDT model, and (3) Conduct a Monte Carlo Study to compare and contrast the strengths and weaknesses of both the traditional and the <em>a-b</em> SDT models across the full spectrum of response values with the goal of providing researchers and practitioners with recommendations regarding the adequacy of each model. The results from this research have both theoretical implications and practical applications. The findings from the empirical study suggest that Green and Swets (1966)'s contention that the detection and response processes are independent from each other is questionable. Furthermore, the findings from the Monte Carlo Study suggest that the <em>a-b</em> SDT model provides more accurate measures to capture the dependency between these two processes. This is particularly important for researchers and practitioners who are interested in studying human-automation interaction factors and how sensory and perceptual factors may affect humans' response biases while interacting with automated systems.</p>","abstract_has_math":false,"creators":["Bustamante, Ernesto A."],"institution":null,"degree_name":"Doctor of Philosophy (PhD)","degree_level":"Dissertation","degree_discipline":"Psychology","degree_department":null,"school":null,"contributors":["James P. Bliss","Terry L. Dickinson","James M. Henson","Rao Chaganty"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2007,"date_issued":"2007-07-01T07:00:00Z","date_published":"2007-07-01T07:00:00Z","updated_at":"2026-07-24T03:35:08Z","subjects":["A-B signal detection theory","Decision-making","Perception","Signal detection","Human Factors Psychology","Industrial and Organizational Psychology"],"languages":[],"rights":["In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
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"]},{"key":"dc:title","label":"Title","values":["The A-B Signal Detection Theory Model"]}]}],"canonical_facts":{"dc:contributor":["James P. Bliss","Terry L. Dickinson","James M. Henson","Rao Chaganty"],"dc:creator":["Bustamante, Ernesto A."],"dc:date.available":["2019-09-16T07:00:00Z"],"dc:description.abstract":["The purpose of this research was threefold: (1) Present the a-b SDT model as an alternative framework to overcome the limitations of the underlying SDT model and the traditional measures of sensitivity and criterion setting, (2) Provide empirical support to validate the adequacy of the a-b SDT model, and (3) Conduct a Monte Carlo Study to compare and contrast the strengths and weaknesses of both the traditional and the a-b SDT models across the full spectrum of response values with the goal of providing researchers and practitioners with recommendations regarding the adequacy of each model. The results from this research have both theoretical implications and practical applications. The findings from the empirical study suggest that Green and Swets (1966)'s contention that the detection and response processes are independent from each other is questionable. Furthermore, the findings from the Monte Carlo Study suggest that the a-b SDT model provides more accurate measures to capture the dependency between these two processes. This is particularly important for researchers and practitioners who are interested in studying human-automation interaction factors and how sensory and perceptual factors may affect humans' response biases while interacting with automated systems.
"],"dc:identifier":["9780549248835","https://digitalcommons.odu.edu/psychology_etds/250"],"dc:rights":["In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
"],"dc:subject":["A-B signal detection theory","Decision-making","Perception","Signal detection","Human Factors Psychology","Industrial and Organizational Psychology"],"dc:title":["The A-B Signal Detection Theory Model"],"thesis:degree_discipline":["Psychology"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Doctor of Philosophy (PhD)"]},"updated_at":"2026-07-24T03:35:08Z"}