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由Stroop叫色作業探討注意力的發展林子誠 Unknown Date (has links)
本研究以Stroop中文叫色作業,測驗兒童和成人在Stroop作業之練習和刺激向度分離等情形下,其干擾效果的變化情形。共執行兩個實驗,實驗一中的受試者先接受中性刺激和不和諧刺激的測驗,然後對兩類作業練習8日,其後再測驗一次,探討受試者在練習前、後之干擾效果的變化情形。另一組受試接受實驗二中,中性刺激、整合性不和諧刺激和分離性不和諧刺激等作業的測驗,藉以比較整合性干擾和分離性干擾的差異。兩組受試者皆接受文字閱讀的速度測驗。
結果發現,小學二年級兒童的Stroop干擾效果最大,六年級兒童次之,成人最小,這與之前文獻上所載的研究一致,同時也證實,練習確能降低干擾效果,但仍不能使其完全消失,且練習後,三組受試間的干擾效果已無顯著差異。在實驗二的結果顯著,刺激向度分離的干擾效果仍然存在,但比整合性干擾效果小,且受試者間的分離性干擾也沒有顯著差異。而所有受試的閱讀速度均快於叫色速度。 / The study was used the Stroop Chinese task to examine the course of the Stroop interference among second, sixth grade children and adults. Two experiments were conducted. In experiment I, participants were tested with neutral and incongruent tasks and practiced with the same tasks for the following 8 days. They were tested neutral and incongruent tasks again. Then examined the course of the Stroop interference among children of second, sixth grade children and adults, they were test with neutral and incongruent tasks again. Then examine the course of the Stroop interference in between children and adult during before and after practice. The other group of participants took part in experiment II. They were presented with three tasks consist of neutral, integrated and separated incongruent tasks. Then examine the difference of the interference among children of second, sixth grade and adult during integrated and separated incongruent tasks. Two groups of participants were presented word reading speed of task.
The finding of the study was Stroop interference increased from the adults through the sixth grade children and finally to the second grade children is in line with previous finding. We have confirmed that although interference decreases with practice, it is very resistant to eradication. After practice, the interference between children and adults is not significant difference. In the experiment II, it was that separated Stroop stimulus showed interference, and the amount was relatively small. The interference of separated Stroop task among children of second, sixth grade and adults were not significant difference. All participants took longer to name color than to read words.
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GIS-based Episode Reconstruction Using GPS Data for Activity Analysis and Route Choice Modeling / GIS-based Episode Reconstruction Using GPS DataDalumpines, Ron 26 September 2014 (has links)
Most transportation problems arise from individual travel decisions. In response, transportation researchers had been studying individual travel behavior – a growing trend that requires activity data at individual level. Global positioning systems (GPS) and geographical information systems (GIS) have been used to capture and process individual activity data, from determining activity locations to mapping routes to these locations. Potential applications of GPS data seem limitless but our tools and methods to make these data usable lags behind. In response to this need, this dissertation presents a GIS-based toolkit to automatically extract activity episodes from GPS data and derive information related to these episodes from additional data (e.g., road network, land use).
The major emphasis of this dissertation is the development of a toolkit for extracting information associated with movements of individuals from GPS data. To be effective, the toolkit has been developed around three design principles: transferability, modularity, and scalability. Two substantive chapters focus on selected components of the toolkit (map-matching, mode detection); another for the entire toolkit. Final substantive chapter demonstrates the toolkit’s potential by comparing route choice models of work and shop trips using inputs generated by the toolkit.
There are several tools and methods that capitalize on GPS data, developed within different problem domains. This dissertation contributes to that repository of tools and methods by presenting a suite of tools that can extract all possible information that can be derived from GPS data. Unlike existing tools cited in the transportation literature, the toolkit has been designed to be complete (covers preprocessing up to extracting route attributes), and can work with GPS data alone or in combination with additional data. Moreover, this dissertation contributes to our understanding of route choice decisions for work and shop trips by looking into the combined effects of route attributes and individual characteristics. / Dissertation / Doctor of Philosophy (PhD)
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