skip to main content
10.1145/2774225.2775081acmconferencesArticle/Chapter ViewAbstractPublication PageseicsConference Proceedingsconference-collections
short-paper

Dynamic user interface adaptation driven by physiological parameters to support learning

Published: 23 June 2015 Publication History

Abstract

Technology to make physiological measurements related to attention and cognitive load is becoming more affordable. We propose a solution based on combining the exploitation of dynamic user information gathered through such technology with a rule-based strategy for adaptation of e-learning Web applications. We focus on users' physiological data and aspects relevant for the task being carried out. A flexible rule-based approach allows designers and developers to define a wide range of rule compositions to express changes in the user interface based on how the user feels and behaves. The overall goal of the framework is to serve as a tool for content developers of Web applications, such as operators of online Learning Management Systems, and for their end-users. In this domain, through our approach teachers can create their educational contents, and specify how they should dynamically adapt to students' behaviour in order to improve the learning process.

References

[1]
Akiki, P. A., Bandara, A. K., Yu, Y. RBUIS: simplifying enterprise application user interfaces through engineering role-based adaptive behavior. Proc. EICS 2013, ACM Press, 3--12.
[2]
Brusilovsky, P., Peylo, C. Adaptive and Intelligent Web-based Educational Systems. I. J. Artificial Intelligence in Education 13(2-4): 159--172 (2003).
[3]
Despotović-Zrakić, M., Marković, A., Bogdanović, Z., Barać, D., & Krčo, S. Providing Adaptivity in Moodle LMS Courses. Educational Technology & Society, 15 (1), 326--338.
[4]
Ghiani, G., Manca, M., Paternò, F., Porta, C. Beyond Responsive Design: Context-Dependent Multimodal Augmentation of Web Applications. Proc. MobiWIS 2014, LNCS Volume 8640, Springer Verlag, 71--85.
[5]
Magnaudet, M., Chatty, S. What should adaptivity mean to interactive software programmers? Proc. EICS 2014, ACM Press, 13--22.
[6]
Marchesi, M., Riccò, B. BRAVO: A BRAin Virtual Operator For Education Exploiting Brain-Computer Interfaces. Proc. CHI 2013, ACM, 3091--3094.
[7]
Nebeling, M, Speicher, M., Norrie, M. C. CrowdAdapt: enabling crowdsourced web page adaptation for individual viewing conditions and preferences. Proc. EICS 2013, ACM Press, 23--32.
[8]
Popescu, E., Badica, C., Moraret, L. Accommodating Learning Styles in an Adaptive Educational System. Informatica (Slovenia) 34(4): 451--462 (2010).

Cited By

View all
  • (2024)Democratizing EEG: Embedding Electroencephalography in a Head-Mounted Display for Ubiquitous Brain-Computer InterfacingInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2388368(1-25)Online publication date: 19-Aug-2024
  • (2021)Brain-imaging techniques in educational technologies: A systematic literature reviewEducation and Information Technologies10.1007/s10639-021-10608-xOnline publication date: 7-Jul-2021
  • (2020)Assessing Cognitive Performance Using Physiological and Facial FeaturesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34118114:3(1-41)Online publication date: 4-Sep-2020
  • Show More Cited By

Index Terms

  1. Dynamic user interface adaptation driven by physiological parameters to support learning

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    EICS '15: Proceedings of the 7th ACM SIGCHI Symposium on Engineering Interactive Computing Systems
    June 2015
    316 pages
    ISBN:9781450336468
    DOI:10.1145/2774225
    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

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 23 June 2015

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. adaptation
    2. learning
    3. physiological parameters
    4. web

    Qualifiers

    • Short-paper

    Conference

    EICS'15
    Sponsor:

    Acceptance Rates

    EICS '15 Paper Acceptance Rate 19 of 64 submissions, 30%;
    Overall Acceptance Rate 73 of 299 submissions, 24%

    Upcoming Conference

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)9
    • Downloads (Last 6 weeks)2
    Reflects downloads up to 16 Feb 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2024)Democratizing EEG: Embedding Electroencephalography in a Head-Mounted Display for Ubiquitous Brain-Computer InterfacingInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2388368(1-25)Online publication date: 19-Aug-2024
    • (2021)Brain-imaging techniques in educational technologies: A systematic literature reviewEducation and Information Technologies10.1007/s10639-021-10608-xOnline publication date: 7-Jul-2021
    • (2020)Assessing Cognitive Performance Using Physiological and Facial FeaturesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34118114:3(1-41)Online publication date: 4-Sep-2020
    • (2020)Investigating Multi-Modal Measures for Cognitive Load Detection in E-LearningProceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization10.1145/3340631.3394861(88-97)Online publication date: 7-Jul-2020
    • (2020)A device-interaction model for users with special needsMultimedia Tools and Applications10.1007/s11042-020-10026-0Online publication date: 20-Oct-2020
    • (2019)User acceptance of cognition-aware e-learningProceedings of the 18th International Conference on Mobile and Ubiquitous Multimedia10.1145/3365610.3365615(1-6)Online publication date: 26-Nov-2019
    • (2019)Designing calmworklightCompanion Publication of the 2019 on Designing Interactive Systems Conference 2019 Companion10.1145/3301019.3323907(301-305)Online publication date: 18-Jun-2019
    • (2016)An adaptive I-Parking application: An ontology-based approach2016 Future Technologies Conference (FTC)10.1109/FTC.2016.7821692(777-785)Online publication date: Dec-2016

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media