Source: https://humanfactors.gmu.edu/people/tshaw4
Timestamp: 2019-04-24 05:59:18+00:00

Document:
Tyler Shaw is an Associate Professor in the Department of Psychology at George Mason University. He received his Ph.D. (2008) from the University of Cincinnati in experimental psychology/human factors.
Dr. Shaw examines the factors that underlie performance decrement in vigilance or sustained attention tasks using two approaches: 1) a group level approach that examines cognitive resource utilization using non-invasive imaging techniques to monitor cerebral blood flow velocity (Transcranial Doppler Sonography) and oxygen saturation (Transcranial Cerebral Oximetry), and 2) an individual differences approach that examines how personality, stress, and coping are related to vigilance performance.
Under this thrust, Dr. Shaw examines factors that influence trust, such as trust calibration, human-autonomy teaming, and the repair of trust after a perceived violation. He also examines the flexible delegation of automation using the Playbook© delegation interface. Additionally, his research includes the dynamics of team collaboration and decision making, and topics in adaptive automation.
Harwood, A.E., Greenwood, P.M., & Shaw, T. H. (2017). Transcranial Doppler Sonography Reveals Reductions in Hemispheric Asymmetry in Healthy Older Adults During Vigilance. Frontiers in Ageing Neuroscience. doi: 10.3389/fnagi.2017.00021.
Shaw, T. H., Nguyen, C., Satterfield, K., Ramirez, R., & McKnight, P. (2016). Cerebral Hemovelocity reveals differential resource allocation strategies for extraverts and introverts during vigilance. Experimental Brain Research, 234, 577-585.
Walliser, J.C., de Visser, E.J., Shaw, T.H. (2016). Application of a system-wide trust strategy when supervising multiple autonomous agents. Proceedings of the Human Factors and Ergonomics Society, USA, 60.
Mckendrick, R., Shaw, T. H., Saqer, H., de Visser, E., Kidwell, B., & Parasuraman, R. (2014). Team performance in networked supervisory control of unmanned air vehicles: Effects of automation, working memory, and communication content. Human Factors, 56, 463-475.
Funke, M.E., Warm, J.S., Matthews, M. G., Funke, G.J., Chiu, P.Y., Shaw, T.H., Greenlee, E.T. (2017). The Neuroergonomics of Vigilance: Effects of Spatial Uncertainty on Cerebral Blood Flow Velocity and Oculomotor Fatigue. Human Factors, 59, 62-75.
Mandell, A.R., Becker, A., VanAndel, A., Nelson, A., & Shaw, T.H. (2015). Neuroticism and vigilance revisited: A transcranial Doppler investigation. Consciousness and Cognition, 36, 19-26.
Becker, A., Mandell, A.R., Tangney, J.P., Crosniak, L.D., Shaw, T.H. (2015). The effects of self-control on cognitive resource allocation during sustained attention: A transcranial Doppler investigation. Experimental Brain Research, 233, 2215-2223.
Dillard, M.B., Warm, J.S., Funke, G.J., Finomore, V., Funke, M.E., Matthews, G., Shaw, T.H., & Parasuraman, R. (2014). The sustained attention to response task (SART) does not promote mindlessness during vigilance performance. Human Factors, 56, 1364-1379.
Matthews, G., Warm, J.S., Shaw, T.H., & Finomore, V.S. (2014). Predicting battleﬁeld vigilance: a multivariate approach to the assessment of attentional resources. Ergonomics, 57, 856-875.
Ahmed, N., de Visser, E., Shaw, T. H., Mohamed-Ameen, A., Campbell, M., & Parasuraman, R. (2014). Statistical modeling of networked human-automation performance using working memory capacity. Ergonomics, 57, 295-318.
Shaw, T. H., Satterfield, K., Ramirez, R., & Finomore, V. (2013) Using cerebral hemovelocity to measure workload during a spatialized auditory vigilance task for novice and experienced observers. Ergonomics, 56, 1251-1263.
Shaw, T. H., Funke, M. E., Dillard, M., Funke, G. J., Warm, J. S., & Parasuraman, R. (2013). Event-related cerebral hemodynamics reveals target-specific resource allocation for both “go” and “no-go” response-based vigilance tasks. Brain and Cognition, 82, 265-273.
Finomore, V. S., Shaw, T. H., Warm, J. S., Matthews, G., & Boles, D. B. (2013). Viewing the workload of vigilance through the lenses of the NASA-TLX and the MRQ. Human Factors, 55, 1044-1063.
Shaw, T. H., Finomore, V. S., Warm, J. S., & Matthews, G. (2012). Effects of regular or irregular event schedules on cerebral hemovelocity during a sustained attention task. Journal of Clinical and Experimental Neuropsychology, 34, 57-66.
Matthews, G., Warm, J. S., Reinerman-Jones, L., Langheim, L. K., Guznov, S., Shaw, T. H., & Finomore, V. S. (2011). The functional fidelity of individual differences research: The case for context-matching. Theoretical Issues in Ergonomic Science, 12, 435-450.
Shaw, T. H., Matthews, G., Warm, J. S., Finomore, V. S., Silverman, L., & Costa, P. T. (2010). Individual differences in vigilance: Personality, ability and states of stress. Journal of Research in Personality, 44, 297-308.
Parasuraman, R., de Visser, E., Clarke, E., McGarry, W. R., Hussey, E., Shaw, T. H., & Thompson, J. C. (2009). Detecting threat-related intentional actions of others: Effects of image quality, response mode, and target cueing on vigilance. Journal of Experimental Psychology: Applied, 15, 275-290.
Shaw, T. H., Warm, J. S., Finomore, V. S., Tripp, L., Matthews, G., Weiler, E., & Parasuraman, R. (2009). Effects of sensory modality on cerebral blood flow velocity during vigilance. Neuroscience Letters, 461, 207-211.
Finomore, V. S., Matthews, G., Shaw, T. H., & Warm, J.S. (2009). Predicting vigilance: A fresh look at an old problem. Ergonomics, 52, 791-808.
Helton, W.S., Shaw, T.H., Warm, J.S., Matthews, G., & Hancock, P. (2007). Effects of warned and unwarned demand transitions on vigilance performance and stress. Anxiety, Stress, and Coping, 21, 173-184.
Riley, M. A., Shaw, T. H., & Pagano, C. C. (2005). Role of the inertial eigenvector in proprioception near the limits of arm adduction range of motion. Human Movement Science, 24, 171-183.
Shaw, T.H. (PI). Grant with the Air Force Office of Scientific Research, “Evaluating factors that affect trust calibration: the influence of trust strategy and risk”. August 2015 – February 2019 $887,009.08.
Shaw, T.H. (PI). Subcontract with Charles River Analytics. Sponsored by the U.S. Naval Air Systems Command, “System to Evaluate and Assess Holistic Aircrew Workload (SEAHAWK). June 2016 – July 2017. GMU Direct cost = $44,997.
Shaw, T.H., Garcia, A., Emfield, A., de Visser, E., Miller, C.M., Parasuraman, R., & Fern, L. (2010). Evaluating the Benefits and Potential Costs of Adaptable Playbook Automation for Supervisory Control of Multiple UAVs. Proceedings of the Human Factors and Ergonomics Society, USA, 54.
Shaw, T.H., Guagliardo, L., de Visser, E., Parasuraman, R. (2010). Using Transcranial Doppler Sonography to measure cognitive load during performance of a command and control simulation. Proceedings of the Human Factors and Ergonomics Society, USA, 54.
Shaw, T.H., Parasuraman, R., Sikdar, Siddhartha, & Warm, J.S. (2009). Knowledge of Results and Signal Salience Modify Vigilance Performance and Cerebral Hemovelocity. Proceedings of the Human Factors and Ergonomics Society, USA, 53, 1062-1065.
Tuesday 1:30-2:30 or by appt.

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