| Summary: | 碩士 === 國立臺灣科技大學 === 數位學習與教育研究所 === 106 === The purpose of this study was to investigate how high school students recognize different formats of digital emoticons by using eye-tracking techniques. In particular, this study adopted an experimental design to examine the difference in the recognition of digital emoticons between autism spectrum disorder (ASD) and typically-developing (TD) students in terms of the rate of accurate recognition of the digital emoticons and eight eye-movement indices. The participants in this study were 29 TD students and 6 ASD students. The two groups of students were asked to recognize 18 digital emoticons represented by three different formats (cartoon pictures, emoji images, and emoticon images) and six different sorts of emotional expressions (happiness, anger, sadness, surprise, disgust, and fear). An eye-tracker was used to record the participants’ eye movements while they were recognizing the digital emoticons. The results of this study indicate that the two groups had no significant difference in the rates of accurate recognition of the digital emoticons with respect to the three formats and six sorts. Nonetheless, the two groups showed different patterns of visual attention while recognizing the digital emoticons. The ADS students tended to pay more attention to the lower part of the faces of the cartoon pictures, while the TD students were more likely to focus on the upper part of the face. In addition, the ASD students paid less attention to eyebrows than TD students while watching the emoji images. However, the two groups had no difference in all eight eye-movement indices while recognizing the emoticon images. Moreover, there are some significant correlations between the rates of accurate recognition of the digital emoticons and the eye-movement indices. The rates of accurate recognition appear to positively correlate with the fixation durations on the eyes of the cartoon pictures but negatively correlated with the fixation durations on the eye in the emoji images and emoticon images.
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