Development of evalaution procedure for understanding contents presented using features of oculo-motors

提出了一种基于模型的方法来估计用户在观看问题语句时对定义语句的上下文理解。眼球运动的特征被定义为一系列的符号、扫视和注视。眼动模型采用隐马尔可夫模型对序列数据进行建模，序列数据有“确定”和“不确定”两种状态。最后，对该模型进行时序预测的可行性进行了验证。

A model-based approach was proposed to estimate users' contextual understanding from features of their eye movements while viewing question statements in response to definition statements. Features of eye movements were defined as a sequence of symbols, saccade and fixation. Eye movements were modeled using hidden Markov models for the sequential data, which has 2 states, "certain" and "uncertain". As a result, feasibility of chronological prediction using the model is examined.