Measuring Cognitive Load: Heart-rate Variability and Pupillometry Assessment

被引：4
|
作者：
Urrestilla, Nerea [1 ]
St-Onge, David [1 ]
机构：
[1] Ecole Technol Super, Montreal, PQ, Canada
来源：
COMPANION PUBLICATON OF THE 2020 INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION (ICMI '20 COMPANION) | 2020年
关键词：
cognitive load; pupillometry; heart-rate variability;
D O I：
10.1145/3395035.3425203
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Cognitive load covers a wide field of study that triggers the interest of many disciplines, such as neuroscience, psychology and computer science since decades. With the growing impact of human factor in robotics, many more are diving into the topic, looking, namely, for a way to adapt the control of an autonomous system to the cognitive load of its operator. Theoretically, this can be achieved from heart-rate variability measurements, brain waves monitoring, pupillometry or even skin conductivity. This work introduces some recent algorithms to analyze the data from the first two and assess some of their limitations.
引用
收藏
页码：405 / 410
页数：6
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