Selected Journal Publications Since 2016
Lee, Y.-C., Momen, A., & LaFreniere, J. (2021). Attributions of social interactions: Driving among autonomous vs. conventional vehicles. Technology in Society, 66, 101631.
Lee, Y.-C., Hand, S. H., & Lilly, H. (2020). Are parents ready to use autonomous vehicles to transport children? Concerns and safety features. Journal of Safety Research, 72, 287-297.
Lee, Y.-C., & Mirman, J. H. (2018). Parents’ perspectives on using autonomous vehicles to enhance children’s mobility. Transportation Research Part C: Emerging Technologies, 96: 415-431.
Lee, Y.-C., & LaVoie, N. (2018). Instruction-prompted objective behaviors as proxy for subjective measures in a driving simulator. Transportation Research Part F: Psychology and Behaviour, 55, 58-66.
Lee, Y.-C., & Winston, F. K. (2016). Stress induction techniques in a driving simulator and reactions from newly licensed drivers. Transportation Research Part F, 42, 44-55.
Ontañón, S., Lee, Y.-C., Snodgrass, S., Bonfiglio, D. J., Winston, F. K., McDonald, C. C., & Gonzalez, A. J. (2014). Case-Based prediction of teen driver behavior and skill. Case-Based Reasoning Research and Development, Lecture Notes in Artificial Intelligence, 8765, 375-489.
Lee, Y.-C., Lee, J. D., & Boyle, L. N. (2009). The interaction of cognitive load and attention-directing cues in driving. Human Factors, 51, 271-280.
Lee, Y.-C., Lee, J. D., & Boyle, L. N. (2007). Visual attention in driving: the effects of cognitive load and visual disruption. Human Factors, 49, 721-733.
Corr, P. L., & Matthews, G. (Eds.) (2020). Cambridge handbook of personality (2nd ed.). Cambridge: Cambridge University Press.
Lin, J., Matthews, G., Wohleber, R. W., Funke, G. J., Calhoun, G. L., Ruff, H. A., Szalma, J. & Chiu, P. (2020). Overload and automation-dependence in a multi-UAS simulation: Task demand and individual difference factors. Journal of Experimental Psychology: Applied, 26, 218–235.
Matthews, G. (2016). Multidimensional profiling of task stress states for human factors: A brief review. Human Factors, 58, 801-813.
Matthews, G., Hancock, P. A., Lin, J., Panganiban, A. R., Reinerman-Jones, L. E., Szalma, J. L., & Wohleber, R. W. (2021). Evolution and revolution: Personality research for the coming world of robots, artificial intelligence, and autonomous systems. Personality and Individual Differences, 169, 109969.
Matthews, G., & Reinerman-Jones, L.E. (2017). Workload assessment: How to diagnose workload issues and enhance performance. Santa Monica, CA: Human Factors and Ergonomics Society.
Matthews, G., Wohleber, R, & Lin, J. (2019). Stress, skilled performance, and expertise: Overload and beyond. In P. Ward, J.M. Schraagen, J. Gore, & E. Roth (Eds.), Oxford Handbook of Expertise. New York: Oxford.
Please see my Google Scholar page.
Rabbit, L.R., Roberts, D.M., McDonald, C.G., & Peterson, M.S. (2017). Neural activity reveals perceptual grouping in working memory. International Journal of Psychophysiology, 113, 40-45.
Azarian, S.B., Buzzell, G.A., Esser, E.G., Dornstauder, A., & Peterson, M.S. (2017). Averted body postures facilitate orienting of the eyes. Acta Psychologica, 175, 28-32.
Azarian, S.B., Peterson, M.S., & Esser, E. (2016). Evidence from the eyes: Threatening postures hold attention. Psychonomic Bulletin & Review, 764-770
Bansal, S., Bray, L.J., Peterson, M.S., Joiner, W.M. (2015) The Effect of Saccade Metrics on the Corollary Discharge Contribution to Perceived Eye Location. Journal of Neurophysiology, 113(9), 3312-3322
Blumberg, E.J., Peterson, M.S., & Parasuraman, R. (2015) Enhancing Multiple Object Tracking Performance with Transcranial Direct Current Stimulation; A Causal Role for the Anterior Intraparietal Sulcus. Frontiers in Systems Neuroscience
Blumberg, E. J., Foroughi, C. K, Scheldrup, M. R., Peterson, M. S., Boehm-Davis, D. A., & Parasuraman, R (2015, in press) Reducing the Disruptive Effects of Interruptions with Noninvasive Brain Stimulation. Human Factors
Azarian, S.B., Esser, E., & Peterson, M.S. (2015). Watch out! Directional threat-related postures cue attention and the eyes. Cognition and Emotion
* supervised graduate students
Rothstein, N., de Visser E. J., and Phillips, E. (2021). Perceptions of infidelity with sex robots. Proceedings of the 2021 ACM/IEEE International Conference on Human-Robot Interaction ‘HRI
Kim, B., Wen, R., Zhu, Q., Williams, T., and Phillips, E., (2021). Robots as moral advisers: The effects of deontological, virtue, and Confucian ethics on encouraging honest behavior. Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, Alt.HRI
Hetrick, R., Amerson, N., Kim, B., Rosen, E., de Visser, E. J., & Phillips, E. (2020). Testing workload and usability of virtual reality interfaces for the control of robots. IEEE Systems and Information Engineering Design Symposium.
Zhao, X., Phillips, E., and Malle., B.F (2020). Appearing human: The landscape of humanlike robots and its impact on human inferences of machine intelligence. Academy of Management Annual Meeting.
Yitzhak, S., Rosen, E., Chien, G., Phillips, E., Tellex, S., & Konidaris, G. (2019) End-user programming using mixed reality. International Conference on Robotics and Automation (ICRA), Montreal, Canada.
Phillips, E., Zhoa, X., Ullman, D., & Malle, B.F. (2018). What is human-like?: Decomposing human-like appearance using the Anthropomorphic RoBOT (ABOT) Database. Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction ‘HRI (pp.105-113). ACM
All publications can be found on Google Scholar, while this section exclusively features the latest publications from August 2023 onwards.
Roesler, E. (2023). Anthropomorphic framing and failure comprehensibility influence different facets of trust towards industrial robots. Frontiers in Robotics and AI, 10. https://doi.org/10.3389/frobt.2023.1235017
Rieger*, T., Kugler°, L., Manzey, D., & Roesler*, E. (2023). The (Im)perfect Automation Schema: Who Is Trusted More, Automated or Human Decision Support? Human Factors. https://doi.org/10.1177_00187208231197347
* indicates equal contribution | ° indicates contribution of graduate student
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.