Brain lattice: Concept lattice based causal analysis of changes in mental workload

K. Oyama, Atsushi Takeuchi, Carl K. Chang
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引用次数: 5

Abstract

This research presents the application of concept lattice to visualize temporal causality of changes in mental workload. A concept lattice in this paper projects potential causal factors of changes in workload from multimodal sensor data. The use of concept lattice in spatio-temporal data stream enabled us for visualization of changing potential causal factors in finite-length of time. We conducted an experiment to validate our method. Temporal situations of 6 subjects during a lesson of computer programming were evaluated to classify causal factors of changing mental workload. Large variations of mental workload during computer programming were mostly shown at the point the users faced a programming error or the point it was resolved.
脑格:基于概念格的脑力负荷变化的原因分析
本研究将概念格应用于心智负荷变化的时间因果关系。本文的概念格从多模态传感器数据中预测了工作负荷变化的潜在原因。概念格在时空数据流中的应用,使我们能够在有限时间内可视化变化的潜在因果因素。我们做了一个实验来验证我们的方法。对6名被试在计算机程序设计课上的时间情境进行了评价,对心理负荷变化的原因进行了分类。计算机编程过程中心理负荷的巨大变化主要表现在用户面临编程错误或解决编程错误时。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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