Towards a Multimodal Measure for Physiological Behaviours to Estimate Cognitive Load

被引：4
|
作者：
Ahmad, Muneeb Imtiaz [1 ]
Robb, David A. [1 ]
Keller, Ingo [1 ]
Lohan, Katrin [1 ,2 ]
机构：
[1] Heriot Watt Univ, Edinburgh Ctr Robot, Dept Comp Sci, Edinburgh, Midlothian, Scotland
[2] NTB Univ Appl Sci Technol, Buchs, Switzerland
来源：
ENGINEERING PSYCHOLOGY AND COGNITIVE ERGONOMICS. MENTAL WORKLOAD, HUMAN PHYSIOLOGY, AND HUMAN ENERGY, EPCE 2020, PT I | 2020年 / 12186卷
基金：
英国工程与自然科学研究理事会;
关键词：
Cognitive load; Mental load; Human-computer interaction; Pupillometry; PHYSICAL-ACTIVITY QUESTIONNAIRE; HEART-RATE;
D O I：
10.1007/978-3-030-49044-7_1
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
We present an experiment investigating the relationships between different physiological measures, including Mean Pupil Diameter Change, Blinking-Rate, Heart-Rate, and Heart-Rate Variability to inform the development of a measure to estimate Cognitive Load. Our experiment involved participants performing a task to spot correct or incorrect words and sentences which successfully induced Cognitive Load. Our results show that participants' task performance predicts their subjective rating of Cognitive Load and that there was a decrease in participants' performance with an increase in Cognitive Load. Furthermore, Mean Pupil Diameter Change was able to predict Blinking-Rate, and Heart-Rate was able to predict Heart-Rate Variability. This prediction is evidence that collecting data on physiological behaviours synchronously and analysing the trends can be an effective way of estimating Cognitive Load, and will help the future development of an online measure of Cognitive Load useful for responsive user interfaces.
引用
收藏
页码：3 / 13
页数：11
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