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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.

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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} }