Publication Date
2014
Document Type
Thesis
Committee Members
Frank Ciarallo (Committee Member), Mary Fendley (Advisor), Nasser Kashou (Committee Member)
Degree Name
Master of Science in Engineering (MSEgr)
Abstract
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.
Page Count
210
Department or Program
Department of Biomedical, Industrial & Human Factors Engineering
Year Degree Awarded
2014
Copyright
Copyright 2014, some rights reserved. My ETD may be copied and distributed only for non-commercial purposes and may be modified only if the modified version is distributed with these same permissions. All use must give me credit as the original author.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.
