estimation of viewer's response for contextual understanding of tasks using features of eye-movements
To estimate viewer's contextual understanding, features of their eye-movements while viewing question statements in response to definition statements, and features of correct and incorrect responses were extracted and compared. Twelve directional features of eye-movements across a two-dimensional space were created, and these features were compared between correct and incorrect responses. The procedure of estimating the response was developed with Support Vector Machines, using these features. The estimation performance and accuracy were assessed across combinations of features. The number of definition statements, which needed to be memorized to answer the question statements during the experiment, affected the estimation accuracy. These results provide evidence that features of eye-movements during reading statements can be used as an index of contextual understanding.
eye-movements discriminant analysis answer correctness eye-movement metrics user's response estimation