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Samuel_Adelman_Thesis_5.8.pdf (1.48 MB)
ETD Abstract Container
Abstract Header
Eye-tracking to Evaluate Trust in Human-ATR Interaction
Author Info
Adelman, Samuel Francis
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=wright1588953611694019
Abstract Details
Year and Degree
2020, Master of Science in Industrial and Human Factors Engineering (MSIHE) , Wright State University, Industrial and Human Factors Engineering.
Abstract
Human collaboration with targeting aids have allowed analysts to achieve a greater level of coordination and productivity in a variety of fields. This project investigates the impact that an Assisted Target Recognition (ATR) algorithm’s false alarm rate and the task Target of Interest (TOI) level has on user-system trust and use in a targeting decision task. Previous studies suggest that an increased number of false alarms in an ATR task negatively impacts analyst trust in the system. This study will further contribute to this research, aiming to provide a better framework for appropriate tolerance levels within ATR algorithms, utilizing pre-truthed ATR footage. Two studies, a pilot and a main study, were conducted. Participants performed computer simulated search tasks with or without the help of the detection aid at four false alarm rates. Trust and use in the decision aid were recorded by participant gaze behavior and a trust in automation scale.
Committee
Mary Fendley, Ph.D. (Advisor)
Subhashini Ganapathy , Ph.D. (Committee Member)
Josh Ash, Ph.D. (Committee Member)
Pages
50 p.
Subject Headings
Engineering
Keywords
Trust
;
Automation
;
Eye Tracking
;
ATR Algorithms
;
False Alarms
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Citations
Adelman, S. F. (2020).
Eye-tracking to Evaluate Trust in Human-ATR Interaction
[Master's thesis, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1588953611694019
APA Style (7th edition)
Adelman, Samuel.
Eye-tracking to Evaluate Trust in Human-ATR Interaction.
2020. Wright State University, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=wright1588953611694019.
MLA Style (8th edition)
Adelman, Samuel. "Eye-tracking to Evaluate Trust in Human-ATR Interaction." Master's thesis, Wright State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=wright1588953611694019
Chicago Manual of Style (17th edition)
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Document number:
wright1588953611694019
Download Count:
245
Copyright Info
© 2020, all rights reserved.
This open access ETD is published by Wright State University and OhioLINK.