Measuring errors in text entry tasks: an application of the Levenshtein string distance statistic
Measuring errors in text entry tasks: an application of the Levenshtein string distance statistic
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测量文本输入任务中的错误：Levenshtein 字符串距离统计的应用
DOI：
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发表时间：
2001
期刊：
影响因子：
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通讯作者：
I. Scott MacKenzie
中科院分区：
文献类型：
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作者：
R. W. Soukoreff;I. Scott MacKenzie
我们提出了一种新的技术的基础上Levenshtein最小字符串距离统计测量错误率的文本输入研究。该技术避免了需要人为地约束主体以保持与所呈现的文本的同步，从而在评估中提供更自然的交互风格。方法的影响进行了讨论，包括额外的需要使用每字符（KSPC）作为一个依赖的措施，以捕捉纠正错误的开销。
We propose a new technique based on the Levenshtein minimum string distance statistic for measuring error rates in text entry research. The technique obviates the need to artificially constrain subjects to maintain synchronization with the presented text, thus affording a more natural interaction style in the evaluation. Methodological implications are discussed, including the additional need to use keystrokes per characters (KSPC) as a dependent measure to capture the overhead in correcting errors.