Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Combining eye movements and collaborative filtering for proactive information retrieval
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
Instantaneous saccade driven eye gaze interaction
Proceedings of the International Conference on Advances in Computer Enterntainment Technology
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To determine the performance of estimating the degree of "strength of belief" (SOB) of responses using eye-movements, the features of eye-movements were extracted while subjects answered questions and reviewed their own responses to multiple choice tasks. The estimation was conducted using Support Vector Machines (SVM) with features of eye-movements between two successive fixations. In the results, the overall estimation performances were significant when the prediction was calculated using certain combinations of features for answering and reviewing sessions respectively. In comparing feature combinations of eye-movements for significant estimations between answering and reviewing sessions, significant combinations components of features between the two sessions did not coincide.