眼動資料之時間加權分析法

dc.contributor劉子鍵zh_TW
dc.contributorLiu, Tzu-Chienen_US
dc.contributor.author黃國駿zh_TW
dc.contributor.authorHuang, Kuo-Chunen_US
dc.date.accessioned2019-08-28T10:34:33Z
dc.date.available2018-08-15
dc.date.available2019-08-28T10:34:33Z
dc.date.issued2018
dc.description.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。zh_TW
dc.description.abstractThe 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.en_US
dc.description.sponsorship教育心理與輔導學系zh_TW
dc.identifierG0004012117
dc.identifier.urihttp://etds.lib.ntnu.edu.tw/cgi-bin/gs32/gsweb.cgi?o=dstdcdr&s=id=%22G0004012117%22.&%22.id.&
dc.identifier.urihttp://rportal.lib.ntnu.edu.tw:80/handle/20.500.12235/90435
dc.language中文
dc.subject分析方法zh_TW
dc.subject時間加權zh_TW
dc.subject時間趨勢zh_TW
dc.subject眼動zh_TW
dc.subjectAnalysis methoden_US
dc.subjectEye movementsen_US
dc.subjectTime-weighteden_US
dc.subjectTemporal distributionen_US
dc.title眼動資料之時間加權分析法zh_TW
dc.titleTime-Weighted Analysis Method for eye movementsen_US

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