Utilizing linguistically enhanced keystroke dynamics to predict typist cognition and demographics
Utilizing linguistically enhanced keystroke dynamics to predict typist cognition and demographics
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DOI：
10.1016/j.ijhcs.2015.04.005
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发表时间：
2015-10-01
影响因子：
5.4
通讯作者：
Rosenberg, Andrew
中科院分区：
文献类型：
--
作者：
Brizan, David Guy;Goodkind, Adam;Rosenberg, Andrew
在计算机键盘上输入信息是一种普遍存在的表达和交流方式。我们研究打字行为是否与两个因素有关：给定任务的认知需求和打字员的人口统计特征。我们利用基于击键动力学、文体测量学和“语言产生”的特征，这些特征是新颖的混合特征，可以捕捉打字员语言选择的动态。我们的研究利用了由相对较短的自由文本样本（类似于 450 个字符）组成的大型数据集（类似于 350 个受试者）。实验表明，这些特征可以识别看不见的打字员所从事的任务的认知需求，并且可以比偶然准确度更好地对他或她的人口统计数据进行分类。我们正确区分高认知要求任务和低认知要求任务，准确率高达 72.39%。对非英语母语人士的检测在 0.166 的基线上达到 F-1=0.462，而对女性打字员的检测在 0.442 的基线上达到 F-1=0.524。对左撇子打字员的识别在 0.100 的基线上实现了 F-1=0.223。进一步的分析表明，通过打字行为表现出来的语言产生与认知和人口因素之间存在着新颖的关系。 (C) 2015 Elsevier Ltd. 保留所有权利。
Entering information on a computer keyboard is a ubiquitous mode of expression and communication. We investigate whether typing behavior is connected to two factors: the cognitive demands of a given task and the demographic features of the typist. We utilize features based on keystroke dynamics, stylometry, and "language production", which are novel hybrid features that capture the dynamics of a typists linguistic choices. Our study takes advantage of a large data set (similar to 350 subjects) made up of relatively short samples (similar to 450 characters) of free text. Experiments show that these features can recognize the cognitive demands of task that an unseen typist is engaged in, and can classify his or her demographics with better than chance accuracy. We correctly distinguish HIGH vs. Low cognitively demanding tasks with accuracy up to 72.39%. Detection of non-native speakers of English is achieved with F-1=0.462 over a baseline of 0.166, while detection of female typists reaches F-1=0.524 over a baseline of 0.442. Recognition of left-handed typists achieves F-1=0.223 over a baseline of 0.100. Further analyses reveal that novel relationships exist between language production as manifested through typing behavior, and both cognitive and demographic factors. (C) 2015 Elsevier Ltd. All rights reserved.