Keystroke Logging in Writing Research
Keystroke Logging in Writing Research
复制标题
写作研究中的击键记录
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
Luuk Van Waes
中科院分区：
文献类型：
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作者：
M. Leijten;Luuk Van Waes
击键记录已经成为识别写作策略和理解认知过程的工具。最近的技术进步提高了测井效率和分析输出。虽然击键记录允许生态数据收集，但通常很难将细粒度的记录数据与潜在的认知过程联系起来。有多种方法可用来抵消这些困难。在这篇文章中，我们将探索击键记录程序Inputlog与其他观察技术的互补性：大声思考、协议和眼睛跟踪数据。此外，我们还说明了新的图形和统计数据分析技术，这些技术主要适用于网络分析和数据挖掘。数据摘录来自对来自多个来源的写作的研究。总之，我们考虑了击键日志记录的未来发展，特别是字母到单词级别的聚合和日志记录标准化。
Keystroke logging has become instrumental in identifying writing strategies and understanding cognitive processes. Recent technological advances have refined logging efficiency and analytical outputs. While keystroke logging allows for ecological data collection, it is often difficult to connect the fine grain of logging data to the underlying cognitive processes. Multiple methodologies are useful to offset these difficulties. In this article we explore the complementarity of the keystroke logging program Inputlog with other observational techniques: thinking aloud protocols and eyetracking data. In addition, we illustrate new graphic and statistical data analysis techniques, mainly adapted from network analysis and data mining. Data extracts are drawn from a study of writing from multiple sources. In conclusion, we consider future developments for keystroke logging, in particular letter- to word-level aggregation and logging standardization.