Modeling Workload: A System Theory Approach

被引：1
作者：
Truschzinski, Martina [1 ]
机构：
[1] Tech Univ Chemnitz, Dept Automat Technol, Chemnitz, Germany
来源：
COMPANION OF THE 2017 ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION (HRI'17) | 2017年
关键词：
MENTAL WORKLOAD; TASK;
D O I：
10.1145/3029798.3038408
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
We present preliminary results in modeling workload with a dynamic process model. We build and validated our dynamical workload model on data of real pupil dilatation recorded during an conducted air traffic controller task experiment.
引用
收藏
页码：305 / 306
页数：2
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