Using a relatively new brain sensing tool called functional near-infrared spectroscopy (fNIRS), along with a more established brain sensing tool called electroencephalography (EEG), we can detect signals within the brain that indicate various cognitive states. These devices provide data on brain activity while remaining portable and non-invasive. The cognitive state information can be used as input to provide the user with a richer and more supportive environment, particularly in challenging or high workload situations such as management of unmanned aerial vehicles, driving, air traffic control, video games, health care, training, and anything involving information overload, interruptions or multitasking. It may also improve operation at the other end of the spectrum in highly automated systems that require little effort from the human, but that can result in boredom and low performance. In addition, while most of my research has focused on the broader population of healthy users, many of the results would benefit disabled users as well, by providing additional channels of communication in a lightweight manner.
R. Moradinezhad, E.T. Solovey. Integrating Brain and Physiological Sensing with Virtual Agents to Amplify Human Perception. In Proceedings of ACM CHI 2017 Workshop on Amplification and Augmentation of Human Perception.
J. Chan, P. Siangliulue, D. Q. McDonald, R. Liu, R. Moradinezhad, S. Aman, E.T. Solovey, K. Gajos & S.P. Dow. (2017). Semantically far inspirations considered harmful? Accounting for cognitive states in collaborative ideation. In Proceedings of 2017 ACM Conference on Creativity and Cognition.
S. Keating, E. Walker, A. Motupali, E.T. Solovey. Toward Real-time Brain Sensing for Learning Assessment: Building a Rich Dataset. In Proc. ACM CHI 2016 Extended Abstracts. San Jose, CA. May, 2016. (To Appear)
D. Belyusar, B. Mehler, E.T. Solovey, & B. Reimer. The Impact of Repeated Exposure to a Multi-Level Working Memory Task on Physiological Arousal and Driving Performance, Transportation Research Record. Also appeared in (2015) Proceedings of The Transportation Research Board 94th Annual Meeting, Washington, DC.
M. Boyer, M.L. Cummings, L.B. Spence, E.T. Solovey. Investigating Mental Workload Changes in a Long Duration Supervisory Control Task, Interacting With Computers (2015). [link]
E.T. Solovey, D. Afergan, A. Venkat, D. Belyusar, B. Mehler, B. Reimer. "Enabling Adaptive Autonomy: Brain & Body Sensing for Adaptive Vehicles," Proc. CHI 2015 Workshop on Autonomous Driving UX. (2015). (To Appear). [link]
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