• Moradinezhad, R., Solovey, E.T. (2021). Investigating Trust in Interaction with Inconsistent Embodied Virtual Agents. In International Journal of Social Robotics. (To Appear)
• Liu, R., Reimer, B., Song, S., Mehler, B., Solovey, E.T. (2021). Unsupervised fNIRS feature extraction with CAE and ESN autoencoder for driver cognitive load classification. In Journal of Neural Engineering. (To Appear)
• Solovey, E.T., Ryan, K.J., Cummings, M. (2021). CODA: Mobile Interface for Enabling Safer Navigation of Unmanned Aerial Vehicles in Real-World Settings. In International Journal of Human Computer Studies.

• McDonald, D.Q., Vallet, R., Solovey, E., Dion, G., Shokoufandeh, A. (2020). Knitted Sensors: Designs and Novel Approaches for Real-Time, Real-World Sensing In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT). (To Appear)

• Boll, R., Mahajan, S., Reis, J., Solovey, E.T. (2020). Creating questionnaires that align with ASL linguistic principles and cultural practices within the Deaf community. In Proc. of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility. [video]

• Liu, R., Walker, E., Friedman, L., Arrington, C.M., Solovey, E.T. (2020). fNIRS-based Classification of Mind-wandering with Personalized Window Selection for Multimodal Learning Interfaces. Journal on Multimodal User Interfaces.

• Unal, D., Arrington, K., Solovey, E., Walker, E. (2020). Using Thinkalouds to Understand Rule Learning and Cognitive Control Mechanisms within an ITS. In Proc. International Conference of Artificial Intelligence in Education (AIED).
• K. Pahlavan, J. Ying, Z. Li, E. Solovey, J. P. Loftus, and Z. Dong. RF Cloud for Cyberspace Intelligence. IEEE Access 8 (2020): 89976-89987.
• R. Liu, E. Solovey (2020).  AI for Adaptive Brain-Computer Interfaces: Challenges and Opportunities. Proc. of CHI 2020 Workshop on Aritificial Intelligence for HCI: A Modern Approach.
• L. De Carli, I. Ray, E. Solovey (2020). Enabling IoT Residential Security Stewardship for the Aging Population. In Proc. CHI 2020 Workshop on Designing Interactions for the Ageing Populations - Addressing Global Challenges.
• R. Moradinezhad, E. Solovey (2020). Embodied Conversational Agent Behavior and its Impact on Trust in Other Agents. Proc. of CUI@CHI: Mapping Grand Challenges for the Conversational User Interface Community CHI 2020 Workshop.
• Z. Li, Z. Lei, A. Yan, E. Solovey, K. Pahlavan. (2020). ThuMouse: A Micro-gesture Cursor Input through mmWave Radar-based Interaction. In Proc. IEEE ICCE International Conference on Consumer Electronics, Las Vegas, NV, USA

• J. Dubey, M. Sumaria, E. Oktay, Y. Li, Z. Li, R. Neamtu, E. T. Solovey (2019). Towards neuroadaptive technology using time warped distances for similarity exploration of brain data. In Proc. of Neuroadaptive Technology Conference (NAT 2019), Liverpool UK. 
• A. Girouard, O. Shaer, E.T. Solovey, M. Poor, R.J.K. Jacob. (2019). The Reality of Reality-Based Interaction: Understanding the Impact of a Framework as a Research Tool. ACM Transactions on Computer-Human Interaction (TOCHI).
• R. Liu, A. Sarkar, E.T. Solovey, S. Tschiatschek (2019). Evaluating Rule-based Programming and Reinforcement Learning for Personalising an Intelligent System. In Proc. of the 2019 on IUI Workshop on Explainable Smart Systems.

• F. Putze, J. Hild, A. Sano, E., E. Solovey, and T. Schultz. (2018). Modeling Cognitive Processes from Multimodal Signals. In Proc. of the 2018 on International Conference on Multimodal Interaction (ICMI '18). ACM, New York, NY, USA, 663-663.

• L. Friedman, R. Liu, E. Walker, E. Solovey (2018). "Integrating Non-Invasive Neuroimaging and Computer Log Data to Improve Understanding of Cognitive Processes, In Proc. of the 2018 ICMI Workshop on Modeling Cognitive Process from Multimodal Signals. ACM, New York, NY, USA.

• L. Friedman, R. Liu, A. Kim, E. Walker, E. Solovey (2018). Towards Neuroadaptive Personal Learning Environments: Using fNIRS to Detect Changes in Attentional State, Proc. 2nd International Conference on Neuroergonomics, Frontiers.
• R. Moradinezhad, E. Solovey (2018). Assessing human reaction to a virtual agent’s facial feedback in a simple Q&A setting, Proc. 2nd International Conference on Neuroergonomics, Frontiers.
• A. Girouard, R.J.K. Jacob, O. Shaer, E. Solovey, and M. Poor. (2018). Reflecting on the Impact of HCI Frameworks, Proc. ACM CHI 2018 Workshop on Rethinking Interaction.

• 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 accessibility and 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.

WPI is an exciting place to study human-computer interaction. WPI offers Ph.D. and M.S. programs in Computer Science, Data Science, Interactive Media and Game Development, Neuroscience, Learning Sciences, and Robotics Engineering. 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.

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, accessibility, Deaf education, psychology, experiment design, brain-computer interfaces, machine learning, feature selection, and/or signal processing.

Students often join the lab as volunteer research assistants, work-study lab assistants, enroll in independent study credit and/or take paid research assistant positions. I also regularly supervise MQP and IQP projects related to research projects in my lab.

Undergraduate Research Assistant (C and/or D term, or Summer) - Human-Computer Interaction, Experiment Design

Software Engineer (Masters/Undergrad) - Brain Signal Processing, Visualization and Analysis Tools (C and/or D term, and/or Summer)

Undergraduate Work Study Position (C and/or D term) - Multidisciplinary

Research Assistant (Masters/Undergrad student) - Towards Biometric Input for Multi-Agent Adaptive Human-Robot Collaboration

Research Assistant (Ph.D./Masters/Undergrad) - Improving Information Accessibility with Sign Language First Technology

Research Assistant (Ph.D./Masters/Undergrad) - Integrating Non-Invasive Neuroimaging and Educational Data Mining to Improve Understanding of Robust Learning Processes

Research Assistant (Masters/Undergrad) - Closed-Loop BCI Using Adaptive Kinetic Architectural Design to Regulate Human Emotional States