Best Student Paper Award

Award Date
Award Recipient(s)
Shane D. Sims

M.Sc. student Shane D. Sims and his supervisor, Professor Cristina Conati, won Best Paper in the 22nd ACM International Conference on Multimodal Interaction in October, 2020. 

A Neural Architecture for Detecting User Confusion in Eye-tracking Data

ABSTRACT:  Encouraged by the success of deep learning in a variety of domains, we investigate the effectiveness of a novel application of such methods for detecting user confusion with eye-tracking data. We introduce an architecture that uses RNN and CNN sub-models in parallel, to take advantage of the temporal and visuospatial aspects of our data. Experiments with a dataset of user interactions with the ValueChart visualization tool show that our model outperforms an existing model based on a Random Forest classifier, resulting in a 22% improvement in combined confused & not confused class accuracies.