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Morey - MS Thesis FINAL.pdf (9.41 MB)

ETD Abstract Container

Abstract Header

Breaking away from brittle machines: Evaluating simultaneous inference and data (SID) displays to facilitate machine fitness assessment

Morey, Dane Anthony
http://rave.ohiolink.edu/etdc/view?acc_num=osu1610033880424073

Abstract Details

2021, Master of Science, Ohio State University, Industrial and Systems Engineering.
Capable computational technology is a necessary but not a sufficient condition for engineering a high-performing human-machine team (HMT). The interactions between human and machine agents can have substantial and surprising positive or negative effects on the overall performance of the system. This implies two requirements for robust HMT design: a set of design strategies to explicitly support joint cognitive functions and reliable techniques to evaluate how this support affects overall system performance. This study proposes simultaneous inference and data (SID) displays as a novel design technique to enable improved human-machine performance and joint activity graphs as a technique to evaluate this performance from a limited testing set. SID displays provide increased observability to computational algorithms by annotating a base data display with how the algorithm is interpreting the underlying data. Joint activity graphs compare performance of the joint HMT against the reference of the machine alone, extrapolating how each will perform outside the set of discrete testing cases. The results show SID displays enabled the HMT to significantly diverge from increasingly incorrect machine guidance, leading to substantial improvements in performance, especially when the machine guidance was wrong. Therefore, SID displays and joint activity graphs appear to be promising techniques for designing and evaluating joint cognitive systems that mitigate the negative consequences of incorrect machine guidance.
Michael Rayo (Advisor)
David Woods (Committee Member)
Artificial Intelligence; Industrial Engineering; Systems Design; Systems Science
human-machine teaming; joint cognitive systems; machine fitness assessment

Recommended Citations

Citations

  • Morey, D. A. (2021). Breaking away from brittle machines: Evaluating simultaneous inference and data (SID) displays to facilitate machine fitness assessment [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1610033880424073

    APA Style (7th edition)

  • Morey, Dane. Breaking away from brittle machines: Evaluating simultaneous inference and data (SID) displays to facilitate machine fitness assessment. 2021. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1610033880424073.

    MLA Style (8th edition)

  • Morey, Dane. "Breaking away from brittle machines: Evaluating simultaneous inference and data (SID) displays to facilitate machine fitness assessment." Master's thesis, Ohio State University, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1610033880424073

    Chicago Manual of Style (17th edition)

osu1610033880424073
166
© 2021, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.