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Zinn_Thesis (3).pdf (657.93 KB)
ETD Abstract Container
Abstract Header
Gauging Human Performance with an Automated Aid in Low Prevalence Conditions
Author Info
Zinn, Cara M.
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=wright1558435408337641
Abstract Details
Year and Degree
2019, Master of Science (MS), Wright State University, Human Factors and Industrial/Organizational Psychology MS.
Abstract
When receiving assistance from an automated aid, human operators do not necessarily perform better than without the automated aid. The current work explored the impact of integrating the automated aid with the task information in low prevalence conditions. Specifically, this work compares displays where the automated aid was integrated with task information in general or with more meaningful task information. Subjects performed a speeded judgment task with the assistance of an automated aid, varying in display type, difficulty, and prevalence. Results indicated that there was no effect of display type or prevalence on human temporal performance, and that the effect of low target prevalence on miss rates weakened in the context of an automated aid. Automated aids could be used in real world contexts to alleviate the effects of low target or target prevalence. Designers should consider the potential utility of automated aids for low prevalence tasks in real world applications.
Committee
Joseph Houpt, Ph.D. (Advisor)
Scott Watamaniuk, Ph.D. (Committee Member)
Kevin Bennett, Ph.D. (Committee Member)
Pages
46 p.
Subject Headings
Psychology
Keywords
automated aid
;
low prevalence task
;
low prevalence condition
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Citations
Zinn, C. M. (2019).
Gauging Human Performance with an Automated Aid in Low Prevalence Conditions
[Master's thesis, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1558435408337641
APA Style (7th edition)
Zinn, Cara.
Gauging Human Performance with an Automated Aid in Low Prevalence Conditions.
2019. Wright State University, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=wright1558435408337641.
MLA Style (8th edition)
Zinn, Cara. "Gauging Human Performance with an Automated Aid in Low Prevalence Conditions." Master's thesis, Wright State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1558435408337641
Chicago Manual of Style (17th edition)
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Document number:
wright1558435408337641
Download Count:
229
Copyright Info
© 2019, some rights reserved.
Gauging Human Performance with an Automated Aid in Low Prevalence Conditions by Cara M. Zinn is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by Wright State University and OhioLINK.