Cognitive load evaluation of handwriting using stroke-level features
Cognitive load evaluation of handwriting using stroke-level features
复制标题
使用笔划级特征评估笔迹的认知负荷
DOI：
10.1145/1943403.1943481
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
Fang Chen
中科院分区：
文献类型：
--
作者：
Kun Yu;J. Epps;Fang Chen
本文探讨了认知负荷的几个写作特征。我们的分析集中在书写笔画内部和之间的书写特征，包括书写压力，书写速度，笔画长度和笔画之间的运动。通过对20名被试进行的一项句子写作任务的研究发现，写作压力和写作速度信息是认知负荷的一个很好的指标。研究了一种笔划选择阈值，用于将特征提取约束到长笔划，这导致了小的进一步改进。不同于大多数以前的研究调查认知负荷在写作过程中的任务性能标准的基础上，这项工作提出了一种新的方法来认知负荷测量使用写作动力学，有可能允许新的或改进现有的手写界面。
This paper examines several writing features for the evaluation of cognitive load. Our analysis is focused on writing features within and between written strokes, including writing pressure, writing velocity, stroke length and inter-stroke movements. Based on a study of 20 subjects performing a sentence composition task, the reported findings reveal that writing pressure and writing velocity information are very good indicators of cognitive load. A stroke selection threshold was investigated for constraining the feature extraction to long strokes, which resulted in a small further improvement. Differing from most previous research investigating cognitive load during writing based on task performance criteria, this work proposes a new approach to cognitive load measurement using writing dynamics, with the potential to allow new or improve existing handwriting interfaces.