Human Factors/Applied Cognition: 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.
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.
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.
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
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)
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.
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
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)