• D. Q. McDonald, E.T. Solovey (2017). User Identification from fNIRS Brain Data Using Deep Learning. In Proceedings of 2017 Conference on Neuroadaptive Technology. 

• R. Liu, E. Walker, E.T. Solovey (2017). Toward Neuroadaptive Personal Learning Environments. In Proceedings of 2017 Conference on Neuroadaptive Technology. 

• J. Chan, P. Siangliulue, D. Qori 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. 
• E.T. Solovey, P. Powale, M.L. Cummings. A field study of multimodal alerts for an autonomous threat detection system. Proc. of HCI International 2017 19^th International Conference on Human-Computer Interaction. 2017.
• R. Liu, G. Marcu, E.T. Solovey. Mindful Shopping: A Compulsive Buying Disorder Management Tool. In Proceedings of ACM CHI 2017 Workshop on Interactive Systems in Healthcare (WISH 2017).
• R. Moradinezhad, E.T. Solovey. Studying the Effects of Interacting with Virtual Agents in Amplifying Human Senses. In Proceedings of ACM CHI 2017 Workshop on Amplification and Augmentation of Human Perception. 
• D. Q. McDonald & E.T. Solovey. (2017). AgileFood: Facilitating Adaptive Food Donation to Address Hunger & Reduce Waste. In Proceedings of ACM CHI 2017 Workshop on Designing Sustainable Food Systems. 
• D. Qori McDonald, R. Greenstadt, G. Kaimal, E.T. Solovey. Mental Health Markers in Language and Brain Data: Potential Diagnostic Use and Privacy Concerns. In Proc. of ACM CHI 2017 Symposium on Computing and Mental Health. 2017. 

• F. Tucker, E. T. Solovey, C. Geib, F. Lee. Veneer: A Digital Visual Novel Game Exploring Player Empathy. In Proc. Meaningful Play. East Lansing, MI. October, 2016.

• 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.

• E.T. Solovey, R. Liu, R. Moradinezhad. Advanced Interaction Research in Autonomous Vehicles. In Proc. of CHI 2016 Workshop on HCI and Autonomous Vehicles: Contextual Experience Informs Design. San Jose, CA. May, 2016. 
• Gao, F., Cummings, M.L. & Solovey, E., Designing for Robust and Effective Teamwork in Human-Agent Teams in The Intersection of Robust Intelligence (RI) and Trust in Autonomous Systems, Ed.: W. Lawless, Springer.

• G. Jacucci, S. Fairclough, E. T. Solovey. Physiological Computing. IEEE Computer. 2015. [Editor Roundtable Discussion]

• J. Reis, E. T. Solovey, J. Henner, K. Johnson, R. Hoffmeister. ASL CLeaR: STEM Education Tools for Deaf Students. Proc. ASSETS’15. (Poster paper) ACM. 2015.

• 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 (in press). Also appeared in Proceedings of The Transportation Research Board 94th Annual Meeting, Washington, DC (2015).
• 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)
• 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).
• E.T. Solovey, J. Okerlund, C. Hoef, J. Davis, O. Shaer. Augmenting Spatial Skills with Semi-Immersive Interactive Desktop Displays: Do Immersion Cues Matter? Proc. Augmented Human. 2015. (To Appear).
• E.T. Solovey, D. Afergan, E.M. Peck, S. Hincks, R.J.K. Jacob, Designing Implicit Interfaces for Physiological Computing: Guidelines and Lessons Learned using fNIRS, ACM Transactions on Computer-Human Interaction (TOCHI) Vol. 21, Iss. 6., 2015. 

• C. Hoef, J. Davis, O. Shaer, E.T. Solovey, An In-Depth Look at the Benefits of Immersion Cues on Spatial 3D Problem Solving, ACM Symposium on Spatial User Interfaces (Poster), Honolulu, HI, October 4-5, 2014. [poster]
• D. Belyusar, B. Reimer, B. Mehler, D. Afergan, J.F. Coughlin, E.T. Solovey, Utilizing functional near-infrared spectroscopy to identify cognitive processes contributing to workload in a dual-task environment, Society for Neuroscience Annual Meeting (Poster Presentation), Washington, D.C., November 18, 2014. [poster]
• F. Gao, M.L. Cummings, E.T. Solovey, Modeling Teamwork in Supervisory Control of Multiple Robots, IEEE Transactions on Human-Machine Systems.
• E.T. Solovey, M. Zec, E. Garcia Perez, B. Reimer, B. Mehler. Classifying Driver Workload Using Physiological and Driving Performance Data: Two Field Studies. Proc. ACM Conference on Human Factors in Computing Systems CHI ’14, ACM Press (2014). Best Paper Award Honorable Mention. [Awarded to top 5%] [video preview]
• D. Afergan, E. Peck, E.T. Solovey, A. Jenkins, S. Hincks, E.T. Brown, R. Chang, R.J.K. Jacob. Dynamic Difficulty Using Brain Metrics of Workload. Proc. ACM Conference on Human Factors in Computing Systems CHI ’14, ACM Press (2014). Best Paper Award Honorable Mention. [Awarded to top 5%] 

• C. Berardi, E.T. Solovey, M.L. Cummings Investigating the Efficacy of Network Visualizations for Intelligence Tasks, Proc. IEEE Conference on Intelligence and Security Informatics, 2013.
• K. Reinecke, D. Flatla, E.T. Solovey, C. Gutwin, K. Gajos, J. Heer, Many People, Many Eyes: Aggregating Influences of Visual Perception on User Interface Design, Proc. ACM CHI 2013 Extended Abstracts. (2013).[website]
• A. Girouard, E.T. Solovey, and R.J.K. Jacob, Designing a Passive Brain Computer Interface using Real Time Classification of Functional Near-Infrared Spectroscopy, International Journal of Autonomous and Adaptive Communications Systems (2013).

We are currently recruiting motivated students interested in doing research in human-computer interaction (HCI), specifically emerging interaction modes and techniques such as brain-computer interfaces, physiological/wearable computing, affective computing, tangible interaction, and reality-based interaction. Many of our projects also involve applying machine learning techniques to human-computer interaction, and/or human interaction with complex and autonomous systems and vehicles. Before contacting us, please take a look at our research and publications.

Drexel’s College of Computing and Informatics in Philadelphia is an exciting place to study human-computer interaction, with around 30 outstanding faculty (listed here). Drexel offers both an Information Studies Ph.D. program and Computer Science Ph.D. program. If you are applying to one of the doctoral programs, and are interested in working in our group, make sure to indicate this as well as your research interests in your essay.

APPLY HERE!

If you are interested in getting involved, feel free to contact us and provide information about your background and interests, as well as your CV or resume. We currently have projects for students interested in human-computer interaction, brain-computer interfaces, machine learning, feature selection, and/or signal processing.