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研究生: 黃國駿
Huang, Kuo-Chun
論文名稱: 眼動資料之時間加權分析法
Time-Weighted Analysis Method for eye movements
指導教授: 劉子鍵
Liu, Tzu-Chien
學位類別: 碩士
Master
系所名稱: 教育心理與輔導學系
Department of Educational Psychology and Counseling
論文出版年: 2018
畢業學年度: 106
語文別: 中文
論文頁數: 70
中文關鍵詞: 分析方法時間加權時間趨勢眼動
英文關鍵詞: Analysis method, Eye movements, Time-weighted, Temporal distribution
DOI URL: http://doi.org/10.6345/THE.NTNU.DEPC.034.2018.F02
論文種類: 學術論文
相關次數: 點閱:210下載:28
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  • 時間趨勢是眼動資料中重要的一項特性,然而鮮少有分析方法去分析此特性,因此本研究發展了時間加權分析法,以時間加權之概念解決分析上的問題。本方法中的一項功能為使用時間加權函數,探討受試者之眼動資料在時間趨勢上與表現之間的關係。在一項案例研究中,本研究示範了時間加權分析法的使用流程與分析結果,探討受試者於單詞自由回憶測驗中,眼動資料之凝視現象在時間趨勢與回憶率之關係。研究結果顯示時間加權分析法是一種有效的方式,用以分析眼動資料之時間趨勢特性。

    The temporal distribution of eye movements is very important but few methods can demo and analyze it. Time-Weighted Analysis Method that is developed in the current study try to cross the limits. One feature of this method is to use time-weighted function to build the temporal distribution of the subjects’ eye movements and to analyze the relationships between this temporal distribution of eye movements and the subjects’ performance. A case study in the current study shows the procedure and results of using Time-Weighted Analysis Method to demo the temporal distribution of a subject’s fixation in her free call test and to analyze the relationships between this distribution and both of the fixation numbers and the recall accuracy rate. The results show that Time-Weighted Analysis Method is a useful way to demo and analyze the temporal distribution of eye movements.

    誌謝詞 i 中文摘要 ii 英文摘要 iii 目次 iv 表次 vi 圖次 viii 第一章 緒論 1 第一節 研究背景與動機 1 第二節 研究目的 5 第二章 文獻探討 7 第一節 眼動現象與認知處理 7 第二節 眼動分析方法 9 第三節 眼動資料特性 14 第三章 時間加權分析法之演算法 15 第一節 時間加權函數 15 第二節 凝視次數加權分析模式 18 第三節 凝視持續時間加權分析模式 19 第四章 研究一 20 第一節 研究方法 20 第二節 研究結果 29 第三節 研究探討 39 第五章 研究二 41 第一節 研究方法 41 第二節 研究結果 45 第三節 研究探討 49 第六章 結論與建議 51 第一節 時間加權分析法的應用 51 第二節 時間加權分析法的可用性 53 第三節 研究結論與建議 54 第四節 研究限制 55 第五節 未來研究方向 55 參考文獻 57 中文部分 57 西文部分 57 附錄 62 附錄一 眼動資料模擬之資料結構 62 附錄二 眼動資料模擬之程式碼 64

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