I am a Ph.D. candidate studying with Robert Jacob in the Human-Computer Interaction Lab at Tufts University. Beginning in Fall 2014, I will be an Assistant Professor of Computer Science at Bucknell University.
My hope is that someday, our computers will know exactly how, when, and in what quantity we should interact with information to match our unique experiences, personalities, and working environments. My research at Tufts primarily explores the use of passive brain-computer interfaces to optimize and personalize our engagement with information. I've also worked with Remco Chang in The Visual Analytics Lab at Tufts (VALT), and I have an ongoing project with Mira Dontcheva, Aaron Hertzmann, and Zhicheng Liu in the Creative Technologies Lab at Adobe. In the past, I have investigated leveraging the computing power and intelligence of casual gamers to help solve NP-complete problems with Charles Cusack.In addition to presentations at ACM CHI, IEEE InfoVis, and Augmented Human, my research has been featured in New Scientist, Discovery News, and ACM TechNews, as well as other magazines and blogs. You can read articles I've written about our work in IEEE Computer and ACM XRDS. You can also find me talking and thinking about technology on Twitter.
|Dynamic Difficulty BCIs To appear at ACM CHI '14. Assisted Dan Afergan in exploring fNIRS indices of workload as input to dynamic difficulty adjustment systems. Honorable Mention Award Paper | Video Preview||Using fNIRS to Measure Workload Book chapter in Advances of Physiological Computing covering research and techniques for using fNIRS to measure workload in real world scenarios. Chapter (Springer)|
|fNIRS in Visual Design Paper presented at ACM CHI '13. Explored fNIRS brain sensing as an evaluation tool for visualization. Paper | Video Preview||Adapting InfoVis to People Presented at ACM CHI '13 Workshop: Many People, Many Eyes. Proposed the use of passive user input to specially personalize visualizations. Paper | Workshop|
|Priming People for InfoVis Presented at ACM CHI '13 Workshop: Many People, Many Eyes. Proposed the use of priming techniques to improve interaction with visualizations. Paper | Workshop||fNIRS in Info Filtering Systems Presented at Augmented Human. Explored role of fNIRS in info-filtering systems by constructing an adaptive system that recommends movies based on fNIRS input. Paper|
|Individual Cognitive Differences Presented at BELIV '12 at IEEE VisWeek. Proposed that individual cognitive differences consist of three primary dimensions: state, trait, and experience/bias. Paper | BELIV wiki||Your Brain, Computer, & You Invisible Computing column in IEEE Computer discussing passive BCIs and previous research in our lab. Article | Full Issue|
|Neuroscience & Computing Guest edited an issue of ACM XRDS with Erin Solovey that focused on the intersection of Computer Science with the brain. Intro | Full Issue (ACM DL)||
Paper presented at Brain and Body Workshop at ACM CHI '11. Proposed that social interaction should influence design of adaptation to physiological input.
Paper | Talk | Workshop
|fNIRS in Visualization Best Poster Award at IEEE InfoVis '11. A preliminary investigation into the use of fNIRS brain sensing for information visualization Paper | Poster||Ethics of BCIs Written with Krysta Chauncey, paper accepted at Brain and Body Workshop at ACM CHI '11. Early thoughts on ethical issues in physiological interfaces. Paper|
|Volunteer Computing Games Presented at Future Play and later Meaningful Play. Used computing resources and gameplay of gamers to help find maximum cliques in large graphs. Paper | Paper||Human Computing Games Game demo presented at Meaningful Play. Mapped classic computer theory problems to interactive games to harness the intelligence of the crowd.|
|QuakeView: Plugging into Bing maps, an interactive visual explorer of earthquakes over the last year. Video | Source||Adaptive Maps: Inspired by map cognition research, I created an adaptive GPS prototype that slowly changes the level of detail on the map depending on the cognitive load of the driver. Video | Brief Writeup | Source|
|Tuition v. Income: A quick interactive visualization comparing the average household income with the average cost of rising tuition. Link (Java required)||Branches: A hierarchical visualization that allows a user to explore his/her twitter stream at different levels of detail. Video|