Exploring Reality-Based Interactions and Brain-Computer Interfaces

6:30PM - 7:00PM - Networking

7:00PM - 8:00PM - Exploring Reality-Based Interactions and Brain-Computer Interfaces

We are in the midst of an explosion of emerging human-computer interaction techniques that redefine our understanding of both computers and interaction. This talk will start by describing the notion of Reality-Based Interaction (RBI) as a unifying concept that ties together a large subset of these emerging interaction styles. Viewing interaction through the lens of RBI provides insights for designers and uncovers gaps or opportunities for future development. We'll hear some examples of reality-based interaction along with implications for the future of natural user interfaces.

Then we'll look beyond reality-based interaction and discuss a growing body of recent work that has shown the feasibility of brain and body sensors as input to interactive systems. Unlike traditional brain-computer interfaces (BCIs) for disabled users, which use the brain signal as the primary, and often only, input to a system, these “natural” or implicit interfaces use brain signals to augment traditional input devices and target a wider group of users than traditional BCIs. This new genre of BCIs show promise to increase the bandwidth between the interactive system and the user with little additional effort required of the user. Professor Solovey will show some examples from her work and discuss some design principles and patterns that have emerged. This ability to capture subtle changes in the user’s cognitive state in real time opens up new doors in future human–computer interaction research.

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Erin T. Solovey is an Assistant Professor of Computer Science at Drexel University, with a secondary appointment in the Drexel School of Biomedical Engineering, Science and Health Systems. Dr. Solovey’s research expertise is in emerging human-computer interaction modes and techniques, such as brain-computer interfaces, physiological computing, wearable computing, and reality-based interaction. Her work has applications in areas such as driving, aviation, medicine, education, gaming, complex decision making, as well as human interaction with autonomous systems and vehicles. Her work has received several awards including the NSF/CRA Computing Innovation Fellowship and three ACM CHI Best Paper Award Honorable Mentions. She serves on several editorial boards and program committees including the International Journal of Human-Computer Studies and the ACM CHI conference. She received a bachelor’s degree in computer science from Harvard, and her Masters and Ph.D. in computer science from Tufts. Before joining the Drexel faculty, she was a postdoctoral fellow in the MIT Humans and Automation Lab.

8:00PM - 8:30PM - Hang Out - Network

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