Recognition of Curiosity Using Eye Movement Analysis
Sabrina Hoppe, Tobias Loetscher, Stephanie Morey, Andreas Bulling
Adj. Proc. ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), pp. 185-188, 2015.
Abstract
Among the different personality traits that guide our behaviour, curiosity is particularly interesting for context-aware assistive systems as it is closely linked to our well-being and the way we learn. This work proposes eye movement analysis for automatic recognition of different levels of curiosity. We present a 26-participant gaze dataset recorded during a real-world shopping task with empirically validated curiosity questionnaires as ground truth. Using a support vector machine classifier and a leave-one-person-out evaluation scheme we can discriminate between two to four classes of standard curiosity scales well above chance. These results are promising and point towards a new class of context-aware systems that take the user’s curiosity into account, thereby enabling new types of interaction and user adaptation.Links
Paper: hoppe15_ubicomp.pdf
BibTeX
@inproceedings{hoppe15_ubicomp,
title = {Recognition of Curiosity Using Eye Movement Analysis},
author = {Hoppe, Sabrina and Loetscher, Tobias and Morey, Stephanie and Bulling, Andreas},
year = {2015},
booktitle = {Adj. Proc. ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp)},
doi = {10.1145/2800835.2800910},
pages = {185-188}
}