眼動資料之時間加權分析法
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Date
2018
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Abstract
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.
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.
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Keywords
分析方法, 時間加權, 時間趨勢, 眼動, Analysis method, Eye movements, Time-weighted, Temporal distribution