Automated Correction of Eye‐Tracking Data for Detecting Difficult‐to‐Read Characters in Japanese Text

Author:

Ito Yudai1,Ishizawa Chikako1,Kageyama Yoichi1

Affiliation:

1. Graduate School of Engineering Science Akita University, 1‐1, Tegata Gakuen‐machi, Akita‐shi Akita 010‐8502 Japan

Abstract

This paper proposes a new eye‐tracking data correction method for the development of an automatic detection system for difficult‐to‐read characters in Japanese text. The proposed method, which adjusts the x‐axis of the eye, was compared with existing methods that adjust only the y‐axis. Data correction was performed for each method, and the detection accuracy of difficult‐to‐read Japanese characters was calculated and compared. The experimental results indicate that adjusting the x‐axis and y‐axis can improve the detection accuracy of difficult‐to‐read characters in Japanese text. This research advances easy correction techniques for difficult‐to‐read character detection in Japanese text and broadens the use of eye trackers, including low‐cost eye trackers. © 2024 Institute of Electrical Engineer of Japan and Wiley Periodicals LLC.

Publisher

Wiley

Reference25 articles.

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2. Threshold Determination Method for Detecting the Gazing Areas on a PC Screen While Silent Reading Japanese Texts

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