Estimating Human Interest and Attention via Gaze Analysis
Conference paper for the May 2013 Int’l Conference on Robotics and Automation in Karlsruhe, Germany.
Acting Lesson with Robot: Emotional Gestures
Tracking Aggregate vs. Individual Gaze Behaviors during a Robot-led Tour Simplifies overall Engagement Estimates
Late Breaking Report for the March 2012 Int’l Conference on Human Robot Interaction in Boston, USA.
Eight Lessons learned about Non-verbal Interactions through Robot Theater
Conference paper for the November 2011 International Conference on Social Robotics in Amsterdam, The Netherlands.
Devilishly Charming Robots and Charismatic Machines
HRI Young Pioneers poster for the March 2011 International Conference on Human Robot Interaction in Lausanne, Switzerland.
A Saavy Robot Standup Comic: Realtime Learning through Audience Tracking
Work-in-progress paper for the January 2011 International Conference on Tangible and Embedded Interaction in Funchal, Portugal.
Realtime Touch Gesture Recognition for a Sensate Robot : IROS
Published and presented as part of the October 2009 International Conference on Intelligent Robots and Systems in St. Louis, Missouri.
Anti-Paparazzi Fashion : ISWC
Presented by Adam Harvey as part of the September 2009 International Symposium on Wearable Computing in Linz, Austria.
Robot Design Rubrics : HRI
Presented as part of the workshop on ‘How to integrate social robots into society’ during the 2009 International Conference on Human Robot Interaction in San Diego California.
Interactive Fall Prevention Wheelchair: EMBC
Conference paper for the 2008 IEEE Engineering in Medicine and Biology Society in Vancouver, British Columbia, Canada
Realtime Social Touch Gesture Recogniton: Master’s Thesis
Conducted under Cynthia Breazeal in the Personal Robots Group at the MIT Media Lab, as part of my MIT Masters of Science in Electrical Engineering and Computer Science.
A Short History of Artificial Intelligence, A Student Perspective: CSAIL/NSF
Summary created as part of an National Science Foundation Grant to archive MIT’s Early Artificial Intelligence research, through films, interviews and independent research.
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