research-article

A tool for mental workload evaluation and adaptation

Authors:

Inês Oliveira,

Nuno GuimarãesAuthors Info & Claims

AH '13: Proceedings of the 4th Augmented Human International Conference

Pages 138 - 141

https://doi.org/10.1145/2459236.2459260

Published: 07 March 2013 Publication History

Abstract

This paper studies the use of mental workload patterns measured from electroencephalographic (EEG) signals in the adaptation of reading activities. Mental workload is associated with the feeling of (dis) comfort of users, based on the assumption that a higher mental workload involves a greater discomfort.

There is increasing interest in the use of physiological signals for the design of interactive systems, reinforcing the link between the application behavior and the user's emotional and mental states.

Reading processes are pervasive in visual user interfaces. Previous work has integrated EEG signals in prototypical applications, designed to analyze reading tasks, and tried to identify the most relevant features for discriminating reading and non-reading mental states. In this paper we address the possibility of adjusting the reading conditions to the user's mental state.

We start by analyzing the correlation between the mental workload and the variation of some relevant HCI textual aspects, such as text size. Then we developed applications that analyze the user's mental workload and adjust the speed of text presentation to the user's mental load. The experiments have been performed in a conventional HCI lab, with non clinical EEG equipment and setup. This is an explicit and design condition, as it targets ecological reading situations.

References

[1]

Weiser, M., The Computer for the 21st Century. Scientific American, 94--104, 1991.

[2]

Mann, S., Smart Clothing': Wearable Multimedia and 'Personal Imaging' to restore the balance between people and their intelligent environments. Proceedings of ACM Multimedia 96, 163--174, 1996.

Digital Library

[3]

Picard, R., Affective Computing, Cambridge: MIT Press, ISBN 0-262-16170-2, 1997.

Digital Library

[4]

Parasuraman, R., Rizzo, M., Neuroergonomics: The Brain at Work, Oxford University Press, ISBN 978-0-195-17761-9, 2008.

Digital Library

[5]

Oliveira, I., Duarte, L., Guimarães, N., Carriço, L., Grigore, O., Towards Coupled Interaction - Practical Integration of Physiological Signals, Berliner Werkstatt Mensch-Maschine-Systeme, Berlim, 2009.

[6]

Wolpaw, J. R. et al., "Brain--Computer Interface Technology: A Review of the First International Meeting", IEEE Transactions on Rehabilitation Engineering, Vol. 8, 2000.

[7]

Millán, J. R., "Adaptative Brain Interfaces", Communications of the ACM, 2003.

Digital Library

[8]

Z. A. Keirn, J. I. Aunon, "A New Mode of Communication between Man and His Surroundings", IEEE Transactions on Biomedical Engineering, Vol. 37, 1990.

[9]

Oliveira, I., Grigore, O. and Guimarães, N., Reading detection based on electroencephalogram processing, Proceedings of the WSEAS 13th international conference on Computers, Rhodes, Greece, 2009.

Digital Library

[10]

Shneiderman, B., Design the User Interface, Strategies for Effective Human-Computer Interaction, Addison Wesley-3rd edition, ISBN 0-201-69497-2, 1997.

Digital Library

[11]

Tognazzini, B., First Principles of Interaction Design, AskTog -- Interaction Design Solutions for the Real World, NN/g -- Nielsen Norma Group: http://www.asktog.com/basics/firstPrinciples.html.

[12]

Kimura, M., Uwano, H., Ohira, M., & Matsumoto, K., Toward Constructing an Electroencephalogram Measurement Method for Usability Evaluation. Human-Computer Interaction, Part I, HCII 2009, LNCS 5610, Springer-Verlag., 95--104, 2009.

Digital Library

[13]

Masaki, H., Ohira, M., Uwano, H., & Matsumoto, K., A Quantitative Evaluation on the Software Use Experience with Electroencephalogram. Design, User Experience, and Usability, Pt II, HCII 2011, LNCS 6770, Springer-Verlag., 469--47, 2011.

[14]

Zander, T., Lehne, M., Ihme, K., Jatzev, S., Correia, J., Kothe, C., Pitch, B., Nijboer, F. A Dry EEG-System for Scientific Research and Brain--Computer Interfaces. Frontiers of Neuroscience, 5, art. 53, 2011.

[15]

Altered States: http://altered-state.com/biofeed/mindsetms1000.pdf, 2010.

Cited By

Kosch TSchmidt AThanheiser SChuang LBernhaupt RMueller FVerweij DAndres JMcGrenere JCockburn AAvellino IGoguey ABjørn PZhao SSamson BKocielnik R(2020)One does not Simply RSVP: Mental Workload to Select Speed Reading Parameters using ElectroencephalographyProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376766(1-13)Online publication date: 21-Apr-2020
https://dl.acm.org/doi/10.1145/3313831.3376766
Dingler TShirazi AKunze KSchmidt ANanayakkara SDo ERekimoto JHuber JChen B(2015)Assessment of stimuli for supporting speed reading on electronic devicesProceedings of the 6th Augmented Human International Conference10.1145/2735711.2735796(117-124)Online publication date: 9-Mar-2015
https://dl.acm.org/doi/10.1145/2735711.2735796
Medgyesi ZPomazi KSzegletes LForstner B(2015)Evaluating application usability with portable biofeedback system for mobile and desktop2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)10.1109/CogInfoCom.2015.7390604(279-283)Online publication date: Oct-2015
https://doi.org/10.1109/CogInfoCom.2015.7390604

Index Terms

A tool for mental workload evaluation and adaptation
1. Human-centered computing
  1. Human computer interaction (HCI)

Recommendations

Can Infrared Facial Thermography Disclose Mental Workload in Indoor Thermal Environments?
UrbSys'19: Proceedings of the 1st ACM International Workshop on Urban Building Energy Sensing, Controls, Big Data Analysis, and Visualization

Mental workload represents the mental resources an individual devotes to a task. In a building environment, understanding how ambient thermal conditions affect occupants' mental workload offers an opportunity to achieve optimal thermal settings for the ...
The Effect of Mental Workload towards Mental Fatigue on Customer Care Agent Using Electroencephalogram
ICIBE '19: Proceedings of the 5th International Conference on Industrial and Business Engineering

High mental workload can lead to fatigue and further result in decreased concentration and work performance. This study is conducted to see the effects of mental workload towards mental fatigue. Mental fatigue measurement was conducted at the first and ...
Neuronal Mental Workload Registration during Execution of Cognitive Tasks
11th International Conference on Engineering Psychology and Cognitive Ergonomics - Volume 8532

Neuronal workload measurement is a key-technology for optimizing work conditions in human-machine systems. Specific aims are the identification of neurophysiological parameters indicative for workload and their validation by systematic variation of ...

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences

AH '13: Proceedings of the 4th Augmented Human International Conference

March 2013

254 pages

ISBN:9781450319041

DOI:10.1145/2459236

General Chair:
Albrecht Schmidt
University of Stuttgart, Germany
,
Program Chairs:
Andreas Bulling
Max Planck Institute for Informatics Saarbrücken, Germany
,
Christian Holz
Hasso Plattner Institute, Germany

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

SimTech: SimTech
Universität Stuttgart: Universität Stuttgart

In-Cooperation

SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 March 2013

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Funding Sources

Fundação para a Ciência e a Tecnologia

Conference

AH'13

Sponsor:

SimTech
Universität Stuttgart

AH'13: 4th Augmented Human International Conference

March 7 - 8, 2013

Stuttgart, Germany

Acceptance Rates

AH '13 Paper Acceptance Rate 49 of 69 submissions, 71%;

Overall Acceptance Rate 121 of 306 submissions, 40%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

3
Total Citations
View Citations
259
Total Downloads

Downloads (Last 12 months)12
Downloads (Last 6 weeks)0

Reflects downloads up to 25 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

Kosch TSchmidt AThanheiser SChuang LBernhaupt RMueller FVerweij DAndres JMcGrenere JCockburn AAvellino IGoguey ABjørn PZhao SSamson BKocielnik R(2020)One does not Simply RSVP: Mental Workload to Select Speed Reading Parameters using ElectroencephalographyProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376766(1-13)Online publication date: 21-Apr-2020
https://dl.acm.org/doi/10.1145/3313831.3376766
Dingler TShirazi AKunze KSchmidt ANanayakkara SDo ERekimoto JHuber JChen B(2015)Assessment of stimuli for supporting speed reading on electronic devicesProceedings of the 6th Augmented Human International Conference10.1145/2735711.2735796(117-124)Online publication date: 9-Mar-2015
https://dl.acm.org/doi/10.1145/2735711.2735796
Medgyesi ZPomazi KSzegletes LForstner B(2015)Evaluating application usability with portable biofeedback system for mobile and desktop2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)10.1109/CogInfoCom.2015.7390604(279-283)Online publication date: Oct-2015
https://doi.org/10.1109/CogInfoCom.2015.7390604

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Figures

Tables

Media

View Table of Conten