CS Professor Cristina Conati, M.Sc. Students Shane Sims, Vanessa Putnam win Best Paper Award at IJCAI 2019 Workshop

Computer Science M.Sc. students Shane Sims and Vanessa Putnam, and Professor Cristina Conati won the best paper award at the IJCAI 2019 Workshop on Humanizing AI held in Macau, China.

Their paper, titled "Detecting Confusion from Eye-Tracking Data with Recurrent Neural Networks" shows that training an RNN with raw eye-tracking data allows for a better classifier to be learned, as compared to previous methods that use engineered features. Training with raw data ensures that potentially valuable signals of confusion are available to be learned from, while using an RNN exploits the data's sequential nature. Their work is the first to use deep learning to detect an affective state from eye-tracking data.

Site Categories Research

Department News

November 15, 2019
In another big win for the Department of Computer Science, UBC has been awarded a $1.3 million...
November 15, 2019
UBC’s Programming Languages for Artificial Intelligence (PLAI) group has won the largest grant ever...
November 11, 2019
The UBC programming teams won first and second place at the 2019 International Collegiate...
November 5, 2019
The paper Etalumis: Bringing Probabilistic Programming to Scientific Simulators is a best paper...

a place of mind, The University of British Columbia


ICICS/CS Building 201-2366 Main Mall
Vancouver, B.C. V6T 1Z4 Canada
Tel: 604-822-3061 | Fax: 604-822-5485
General: help@cs.ubc.ca
Undergrad program: undergrad-info@cs.ubc.ca
Graduate program: grad-info@cs.ubc.ca

Emergency Procedures | Accessibility | Contact UBC | © Copyright The University of British Columbia