Research Article
Chronological states of viewer’s intentions using hidden Markov models and features of eye movement
@ARTICLE{10.4108/casa.1.1.e5, author={Minoru Nakayama and Naoya Takahashi}, title={Chronological states of viewer’s intentions using hidden Markov models and features of eye movement}, journal={EAI Endorsed Transactions on Context-aware Systems and Applications}, volume={1}, number={1}, publisher={ICST}, journal_a={CASA}, year={2014}, month={9}, keywords={User intention, hidden Markov model, features of eye movements}, doi={10.4108/casa.1.1.e5} }- Minoru Nakayama
Naoya Takahashi
Year: 2014
Chronological states of viewer’s intentions using hidden Markov models and features of eye movement
CASA
ICST
DOI: 10.4108/casa.1.1.e5
Abstract
To determine the possibility of predicting viewer’s internal states using the hidden Markov model, several features of eye movements were introduced to the model. Performance was measured using the data from a set of eye movement features recorded during recall tests which consisted of observations of three levels of task difficulty. The features were the temporal appearances of fixations and saccades, and combinations of 8 viewed directions during long and short eye movements. As a result, features of long eye movements, such as saccade information, contributed to prediction accuracy. Also, this prediction accuracy was regulated by the difficulty of the task.
Copyright © 2014 M. Nakayama and N. Takahashi, licensed to ICST. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.