Evan M. Peck

Ph.D. Candidate in Computer Science
Tufts University, Human-Computer Interaction Lab
email | curriculum vitae

About My Research

{human-computer interaction, adaptive interfaces, brain-computer interfaces, visual analytics}

I am a Ph.D. candidate studying with Robert Jacob in the Human-Computer Interaction Lab at Tufts 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 explores the use of passive brain-computer interfaces to optimize and personalize our engagement with information.

My work also looks at the use of visualization tools to support analytical tasks with Remco Chang at 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.

Research Projects and Papers

Exp 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 Coming Soon
Exp 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.
In Press
Exp fNIRS in Visual Design
Paper presented at ACM CHI '13. Explored fNIRS brain sensing as an evaluation tool for visualization.
Paper | Video Preview
Exp 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
Exp 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
Exp 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.
Cube 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
Cube Your Brain, Computer, & You
Invisible Computing column in IEEE Computer discussing passive BCIs and previous research in our lab.
Article | Full Issue
Exp 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)
Exp Social Adaptation
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
Exp 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
Exp 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.
Exp 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
Exp Human Computing Games
Game demo presented at Meaningful Play. Mapped classic computer theory problems to interactive games to harness the intelligence of the crowd.

Other Visualization Projects

Exp QuakeView: Plugging into Bing maps, an interactive visual explorer of earthquakes over the last year.
Video | Source
Exp 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
Exp Tuition v. Income: A quick interactive visualization comparing the average household income with the average cost of rising tuition.
Link (Java required)
Exp Branches: A hierarchical visualization that allows a user to explore his/her twitter stream at different levels of detail.

Where I've Been This Year