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Combined Eyetracking And Keystroke-loggingmethods For Studying Cognitive Processesrnin Text Production

机译:眼动和击键记录相结合的方法研究认知过程创收文本的产生

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摘要

Writers typically spend a certain proportion of time looking back over the text that they have written. This is likely to serve a number of different functions, which are currently poorly understood. In this article, we present two systems, ScriptLog+TimeLine and Eye Write, that adopt different and complementary approaches to exploring this activity by collecting and analyzing combined eye movement and keystroke data from writers composing extended texts. ScriptLog+TimeLine is a system that is based on an existing keystroke-logging program and uses heuristic, pattern-matching methods to identify reading episodes within eye movement data. Eye Write is an integrated editor and analysis system that permits identification of the words that the writer fixates and their location within the developing text. We demonstrate how the methods instantiated within these systems can be used to make sense of the large amount of data generated by eyetracking and keystroke logging in order to inform understanding of the cognitive processes that underlie written text production.
机译:作家通常花费一定比例的时间来回顾他们所写的文本。这可能有许多不同的功能,目前尚不清楚。在本文中,我们介绍了ScriptLog + TimeLine和Eye Write这两个系统,它们通过收集和分析来自构成扩展文本的作者的组合眼动和击键数据,采用了不同且互补的方法来探索此活动。 ScriptLog + TimeLine是一个基于现有按键记录程序的系统,并使用启发式模式匹配方法来识别眼动数据中的阅读情节。 Eye Write是一个集成的编辑器和分析系统,可以识别书写者所固定的单词及其在开发文本中的位置。我们演示了如何在这些系统中实例化的方法可用于理解眼动追踪和击键记录所生成的大量数据,从而有助于理解作为书面文本产生基础的认知过程。

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