Abstract
Eye movement technology is highly valued for evaluating and improving digital learning content. In this paper, an educational innovation study of eye movement behaviors on digital learning content is presented. We proposed three new eye movement metrics to explain eye movement behaviors. In the proposed method, the digital content, which were slide-deck-like works, were classified into page categories according to the characteristics of each page. We interpreted the subjects’ eye movement behaviors on the digital slide decks. After data regularization and filtering, the results were analyzed to give directions for how to design an attractive digital learning content from the viewpoint of eye movement behaviors. The relationships between the subjects’ evaluation scores, page categories, and eye movement metrics are discussed. The results demonstrated that the proposed fixation time percentage (FTP) was a representative, strong, and stable eye movement metric to measure the subjects’ interest. Moreover, a reasonable portion of semantic content had a positive influence on the subjects’ interest.
Highlights
As an intuitive way to inspect what is attractive to humans through the fixation of gaze since the very beginning of human attention studying, eye movement has been a popular research area in human–computer interaction research for decades
While studying digital learning content, we found that the pages or slide decks have their own unique features, correlated with the eye movement behaviors of the digital learning process
All of the students were selected by a questionnaire that ensured they were used to reading the digital learning content and had enough knowledge to evaluate the content of experimental materials
Summary
As an intuitive way to inspect what is attractive to humans through the fixation of gaze since the very beginning of human attention studying, eye movement has been a popular research area in human–computer interaction research for decades. It is very convenient to evaluate how attractive an e-book or a digital learning slide deck is using metrics. While studying digital learning content, we found that the pages or slide decks have their own unique features, correlated with the eye movement behaviors of the digital learning process. In this paper, a study on eye movement behaviors while reading digital learning content is presented to reveal the regular pattern of eye viewing on different types of slides. This paper attempts to find the relationship between the subjects’ evaluation scores, page categories, and the proposed eye movement metrics, including:.
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