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Characterization of Affective States in Virtual Reality Environments using EEG.

, , , , and . SMC, page 2689-2693. IEEE, (2021)

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Minding the Gap: Effects of an Attention Maintenance Training Program on Driver Calibration., , , and . Hum. Factors, 64 (5): 890-903 (2022)Characterization of Affective States in Virtual Reality Environments using EEG., , , , and . SMC, page 2689-2693. IEEE, (2021)Human-Automation Trust to Technologies for Naïve Users Amidst and Following the COVID-19 Pandemic., , and . Hum. Factors, (2020)Visual Search Asymmetries in Heavy Clutter: Implications for Display Design., and . Hum. Factors, 53 (3): 299-307 (2011)Workload Capacity: A Response Time-Based Measure of Automation Dependence., and . Hum. Factors, 58 (3): 462-471 (2016)Do You Trust One's Gaze? Commonalities and Differences in Gaze-Cueing Effect Between American and Japanese., , and . HCI (11), volume 9741 of Lecture Notes in Computer Science, page 120-129. Springer, (2016)Automation trust increases under high-workload multitasking scenarios involving risk., , , and . Cogn. Technol. Work., 22 (2): 399-407 (2020)Trust and the Compliance-Reliance Paradigm: The Effects of Risk, Error Bias, and Reliability on Trust and Dependence., , , and . Hum. Factors, 59 (3): 333-345 (2017)Sequential In-Vehicle Glance Distributions: An Alternative Approach for Analyzing Glance Data., , , and . Hum. Factors, 57 (4): 567-572 (2015)Effects of Task Difficulty and Display Format on Automation Usage Strategy: A Workload Capacity Analysis., and . Hum. Factors, 60 (4): 527-537 (2018)