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A THEORETICAL ADAPTIVE AUTONOMY MODEL: REAL-TIME PHYSIOLOGICAL ASSESSMENT OF COGNITIVE WORKLOAD

Evans, Dakota C.

Abstract Details

2014, Master of Science in Engineering (MSEgr), Wright State University, Industrial and Human Factors Engineering.
Increases in modern-day system complexity, has led for a need to improve human performance and the interaction between the two. Three objectives: (1) to investigate physiological measures as indicators of cognitive workload, (2) to assess cognitive workload during human interaction with different autonomy levels, and (3) to develop a theoretical model for an adaptive autonomous system that changes with real-time cognitive workload measures were addressed. This effort seeks to improve human computer interaction by providing the human with the acceptable level of computer automation based on real-time cognitive state. Two experiments involved collection of measures of subject physiology, subjective survey data, and performances measures to assess cognitive workload. The first experiment involved assessment of workload during different task difficulty levels. The second experiment compared workload under different system automation levels. Fixation rate, electromyography measures, and heart rate standard deviation were found to include significant main effects for both experiments.
Mary Fendley, Ph.D. (Advisor)
Frank Ciarallo, Ph.D. (Committee Member)
Nasser Kashou, Ph.D. (Committee Member)
210 p.

Recommended Citations

Citations

  • Evans, D. C. (2014). A THEORETICAL ADAPTIVE AUTONOMY MODEL: REAL-TIME PHYSIOLOGICAL ASSESSMENT OF COGNITIVE WORKLOAD [Master's thesis, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1421080260

    APA Style (7th edition)

  • Evans, Dakota. A THEORETICAL ADAPTIVE AUTONOMY MODEL: REAL-TIME PHYSIOLOGICAL ASSESSMENT OF COGNITIVE WORKLOAD . 2014. Wright State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1421080260.

    MLA Style (8th edition)

  • Evans, Dakota. "A THEORETICAL ADAPTIVE AUTONOMY MODEL: REAL-TIME PHYSIOLOGICAL ASSESSMENT OF COGNITIVE WORKLOAD ." Master's thesis, Wright State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=wright1421080260

    Chicago Manual of Style (17th edition)