Towards a Multimodal Measure for Physiological Behaviours to Estimate Cognitive Load

被引：3

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

页码：3 / 13

页数：11

共 50 条

[41] Physiological synchronization and entropy as measures of team cognitive load
Dias, Roger D.
Zenati, Marco A.
Stevens, Ronald
Gabany, Jennifer M.
Yule, Steven J.
JOURNAL OF BIOMEDICAL INFORMATICS, 2019, 96
[42] Reducing Cognitive Load for Anatomy Students with a Multimodal ITS Platform
Freedman, Reva
Kluga, Ben
Labarbera, Dean
Hueneke, Zachary
Naples, Virginia
INTELLIGENT TUTORING SYSTEMS (ITS 2020), 2020, 12149 : 403 - 406
[43] Information presentation based on estimation of human multimodal cognitive load
Wada, F
Iwata, M
Tano, S
JOINT 9TH IFSA WORLD CONGRESS AND 20TH NAFIPS INTERNATIONAL CONFERENCE, PROCEEDINGS, VOLS. 1-5, 2001, : 2924 - 2929
[44] MMOD-COG: A Database for Multimodal Cognitive Load Classification
Mijic, Igor
Sarlija, Marko
Petrinovic, Davor
PROCEEDINGS OF THE 2019 11TH INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS (ISPA 2019), 2019, : 15 - 20
[45] The Index of Cognitive Activity as a Measure of Cognitive Processing Load in Dual Task Settings
Vogels, Jorrig
Demberg, Vera
Kray, Jutta
FRONTIERS IN PSYCHOLOGY, 2018, 9
[46] A multimodal study to measure the cognitive demands of hazard recognition in construction workplaces
Liao, Pin-Chao
Sun, Xinlu
Zhang, Dan
SAFETY SCIENCE, 2021, 133
[47] Towards a Cognitive Framework for Multimodal Person Recognition in Multiparty HRI
Gonzalez-Billandon, Jonas
Belgiovine, Giulia
Sciutti, Alessandra
Sandini, Giulio
Rea, Francesco
PROCEEDINGS OF THE 9TH INTERNATIONAL USER MODELING, ADAPTATION AND PERSONALIZATION HUMAN-AGENT INTERACTION, HAI 2021, 2021, : 412 - 416
[48] Development and Validation of a Cognitive Load Measure for General Educational Settings
Ober, Teresa M.
Lu, Yikai
Blacklock, Chessley B.
Liu, Cheng
Cheng, Ying
JOURNAL OF PSYCHOEDUCATIONAL ASSESSMENT, 2023, 41 (06) : 689 - 708
[49] Plantar pressure variability as a measure of cognitive load during gait
Blair, Matthew
Hausselle, Jerome
GAIT & POSTURE, 2025, 117 : 1 - 6
[50] Using Eye Tracking to Measure Cognitive Load of Designers in Situ
Zimmerer, Christoph
Nelius, Thomas
Matthiesen, Sven
DESIGN COMPUTING AND COGNITION'22, 2023, : 481 - 495

← 1 2 3 4 5 →