Interactive Reading Note Generation Utilizing Gaze Information

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Abstract

Reading gives readers intellectual stimuli, elicits their imagination and creativity, and expands their inner world. We introduce the concept to postulate that reading is communication between a reader and a book. An idea is to change a book into a reactive entity and to achieve interactions between a reader and a book. We have introduced a mechanism to feedback a reading note as a response from a book to a reader’s gaze information that the reader generates during reading. Reader’s gaze information generated during reading shows his/her mind about the book. The goal of this study is to build an automatic reading notes creation system that automatically generates reading notes based on gaze information that a reader naturally generates during reading. We conducted experiments to measure a subject’s gaze coordinate data, and to verify whether we could identify eye movements for specific four reading patterns through the analysis of the acquired data. As the result, we have confirmed it possible to identify a reader’s reading patterns from the change of gaze information.

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APA

Yoshida, S., Takahara, M., Makihara, E., Tanev, I., & Shimohara, K. (2022). Interactive Reading Note Generation Utilizing Gaze Information. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13305 LNCS, pp. 516–527). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-06424-1_38

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