Tyler H. Shaw

Tyler H. Shaw

Tyler H. Shaw

Associate Professor

Vigilance or sustained attention, Human-Computer interaction, trust in automation, team performance.

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.



Current Research

Vigilance or sustained attention

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.

Automation and trust

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.

Selected Publications

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 Research234, 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.

Expanded Publication List

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.

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.

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.

Grants and Fellowships

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. (PI), Dalal, R. (Co-PI), Zaccaro, S. (Co-PI). Cooperative Agreement with the Army Research Institute, “The Validation of a Domain-General Systems Thinking Assessment Test (STAT) for Personnel Selection and Classification” September 2015- September 2016, $500,000

Courses Taught

Cognitive Psychology- Graduate

Individual Differences in Cognition and Performance- Graduate

Analysis of Variance (ANOVA)- Graduate

History and Systems of Psychology- Undergraduate


Post-doctoral research fellow, 2008-2010, George Mason University (Advisor: Raja Parasuraman)

Ph.D., 2008, University of Cincinnati (Advisor: Joel Warm)

Recent Presentations

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.

In the Media

GMU Arch Lab Human Factors Rap Video- 2011

University of Cincinnati Human Factors Rap Video- 2006

Human Factors Rapper-Behind the Music- 2012

Transcranial Doppler Sonography- Interview by APS Observer- 2012 

Dissertations Supervised

Min Ji Kim, The Use of Telepresence Robots as an Educational Tool (2023)

Raul Ramirez, A Narrative Review of Hemodynamic Measures of Sustained Attention (2023)

Spencer Christian Kohn, Methods of Measuring Trust in Automation: A Narrative Review of Existing Methods (2020)

Kevin Zish, A Goal Activation Account of Confidence Judgments (2020)

Amanda E. Harwood, Individual Differences in Self-control and Cognitive Resource Depletion During Sustained Attention (2019)

Melissa Scheldrup, Effects of Level of Automation on Training and Mental Model Formation in a Real-world Command and Control Task (2018)

Arielle Mandell, An Investigation of the Individual Differences and Causal Attributions That Make or Break Dynamic Trust in Automation (2018)

James C. Walliser, Social Interactions with Autonomous Agents: Team Perception and Team Development Improve Teamwork Outcomes (2017)

Kelly Satterfield, The Influence of Risk on Trust in Automation (2016)

Daniel Gartenberg, A Comprehensive Computational Model of Sustained Attention (2016)

Haneen Saqer, Mitigating Effects of Working Memory Constraints on Automation Use Through Interface Redesign (2015)