Skip to main content

Practical Neurophysiological Analysis of Readability as a Usability Dimension

  • Conference paper
  • 3568 Accesses

Part of the Lecture Notes in Computer Science book series (LNPSE,volume 7946)

Abstract

This paper discusses opportunities and feasibility of integrating neurophysiologic analysis methods, based on electroencephalography (EEG), in the current landscape of usability evaluation methods. The rapid evolution and growing availability of low-cost, easier to use devices and the accumulated knowledge in feature extraction and processing algorithms allow us to foresee the practicality of this integration.

The work presented in this paper is focused on reading and readability, identified as a key element of usability heuristics, and observable in the neurophysiologic signals’ space. The experiments are primarily designed to address the discrimination of the reading activity (silent, attentive and continuous) and the verification of decreasing readability, associated with the user’s mental workload analysis. The results obtained in the series of experiments demonstrate the validity of the approach for each individual user, and raise the problem of inter-subject variability and the need for designing appropriate calibration procedures for different users.

Keywords

  • Usability analysis
  • neurophysiologic signals
  • EEG

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-642-39062-3_12
  • Chapter length: 18 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   89.00
Price excludes VAT (USA)
  • ISBN: 978-3-642-39062-3
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   119.99
Price excludes VAT (USA)

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Dix, A., Finlay, J.E., Abowd, G.D., Russell, B.: Human Computer Interaction, 3rd edn. Pearson Education Limited (2004) ISBN-13: 978-0-13-046109-4

    Google Scholar 

  2. Schmorrow, D., Kruse, A., Reeves, L., Bolton, A.: Augmenting Cognition in HCI: 21st Century Adaptive System Science and Technology. In: Sears, A., Jacko, J.A. (eds.) The Human–Computer Interaction Handbook, 2nd edn., pp. 1172–1188. Lawrence Erlbaum Associates (2008) ISBN-13: 978-0-8058-5870-9

    Google Scholar 

  3. Zander, T.O., Lehne, M., Ihme, K., Jatzev, S., Correia, J., Kothe, C., Picht, B., Nijboer, F.: A dry EEG-system for scientific research and brain-computer inter-faces. Frontiers in Neuroscience 5, art. 53 (2011)

    Google Scholar 

  4. Beer, R., Lehman, W., Noldus, L., Patèrno, F., Schmidt, E., Hove, W., Theuws, J.: The Usability Lab of the Future, Human Computer Interaction, INTERACT 2003 (2003)

    Google Scholar 

  5. Ganglbauer, E., Schrammel, J., Deutsch, S.: Applying Psychophysiological Me-thods for Measuring User Experience: Possibilities, Challenges and Feasibility. In: Proc. in User Experience Evaluation Methods in Product Development (UXEM 2009) in Conjunction with Interact 2009 (2009)

    Google Scholar 

  6. Hu, J., Nakanishi, M., Matsumoto, K., Tagaito, H., Inoue, K., Shima, K., Torii, K.: A Method of Usability Testing by Measuring Brain Waves. In: Proc. of the International Symposium on Future Software Technology (ISFST 2000) (2000)

    Google Scholar 

  7. Foglia, P., Prete, C., Zanda, M.: Relating GSR Signals to traditional Usability Me-trics: Case Study with an anthropomorphic Web Assistant. In: IEEE Intnl. Instrumentation and Measurement Technology Conf., Victoria, Vancouver Island, Canada, May 12-15 (2008)

    Google Scholar 

  8. Stickel, C., Ebner, M., Steinbach-Nordmann, S., Searle, G., Holzinger, A.: Emotion Detection: Application of the Valence Arousal Space for Rapid Biological Usability Testing to enhance Universal Access. In: Stephanidis, C. (ed.) Universal Access in HCI, Part I, HCII 2009. LNCS, vol. 5614, pp. 615–624. Springer, Heidelberg (2009)

    CrossRef  Google Scholar 

  9. Stickel, C., Scerbakov, A., Kaufmann, T., Ebner, M.: Usability metrics of time and stress-biological enhanced performance test of a university wide learning management system. In: Holzinger, A. (ed.) USAB 2008. LNCS, vol. 5298, pp. 173–184. Springer, Heidelberg (2008)

    CrossRef  Google Scholar 

  10. Kimura, M., Uwano, H., Ohira, M., Matsumoto, K.: Toward Constructing an Electroencephalogram Measurement Method for Usability Evaluation. In: Jacko, J.A. (ed.) HCI International 2009, Part I. LNCS, vol. 5610, pp. 95–104. Springer, Heidelberg (2009)

    CrossRef  Google Scholar 

  11. Masaki, H., Ohira, M., Uwano, H., Matsumoto, K.: A Quantitative Evaluation on the Software Use Experience with Electroencephalogram. In: Marcus, A. (ed.) Design, User Experience, and Usability, Pt II, HCII 2011. LNCS, vol. 6770, pp. 469–477. Springer, Heidelberg (2011)

    Google Scholar 

  12. Hirshfield, L.M., Chauncey, K., Gulotta, R., Girouard, A., Solovey, E.T., Jacob, R.J.K., Sassaroli, A., Fantini, S.: Combining Electroencephalograph and Functional Near Infrared Spectroscopy to Explore Users’ Mental Workload. In: Schmorrow, D.D., Estabrooke, I.V., Grootjen, M. (eds.) FAC 2009. LNCS, vol. 5638, pp. 239–247. Springer, Heidelberg (2009)

    CrossRef  Google Scholar 

  13. Lee, H., Seo, S.: A Comparison and Analysis of Usability Methods for Web Evaluation: The Relationship Between Typical Usability Test and Bio-Signals Characteristics (EEG, ECG). In: Proc. of 2010 DRS (Design Research Society) Montreal Conference (2010) ISBN 978-2-9811985-2-5

    Google Scholar 

  14. Nacke, L.: Wiimote vs. Controller: Electroencephalographic Measurement of Affective Gameplay Interaction. In: Proc. of the Intnl. Conf. on the Future of Game Design and Technology Futureplay. ACM Press (2010)

    Google Scholar 

  15. Ward, R., Marsden, P.: Affective computing: problems, reactions and intentions. Journal of Interacting with Computers 16(4), 707–713 (2004)

    CrossRef  Google Scholar 

  16. Winograd, T., Flores, F.: Understanding Computers and Cogniton: a New Foundation for Design. Addison Wesley (1986)

    Google Scholar 

  17. Nielsen, J., Molich, R.: Heuristic evaluation of user interfaces. In: Proc. ACM CHI 1990 Conference, Seattle, WA (April 1990)

    Google Scholar 

  18. Shneiderman, B.: Designing the User Interface, Strategies for Effective Human-Computer Interaction, 3rd edn. Addison Wesley (1997) ISBN 0-201-69497-2

    Google Scholar 

  19. Tognazzini, B.: First Principles of Interaction Design, AskTog – Interaction Design Solutions for the Real World. NN/g – Nielsen Norman Group (January 18, 2012), AskTog: http://www.asktog.com/basics/firstPrinciples.html

  20. Oliveira, I., Grigore, O., Guimarães, N.: Reading detection based on electroen cephalogram processing. In: WSEAS 13th Intnl. Conf. on Computers, Rhodes, Greece (2009)

    Google Scholar 

  21. Oliveira, I., Grigore, O., Guimarães, N., Duarte, L.: Relevance of EEG Input Signals in the Augmented Human Reader. In: ACM – Augmented Human, AH 2010, Megève, France (April 2010)

    Google Scholar 

  22. Wolpaw, J.R., Birbaumer, N., Heetderks, W.J., McFarland, D.J., Peckham, P.H., Schalk, G., Donchin, E., Quatrano, L.A., Robinson, C.J., Vaughan, T.M.: Brain–Computer Interface Technology: A Review of the First International Meeting. IEEE Transactions on Rehabilitation Engineering 8 (2000)

    Google Scholar 

  23. Millán, J.R.: Adaptative Brain Interfaces. Communications of the ACM 46(3), 74–80 (2003)

    CrossRef  Google Scholar 

  24. Zander, T.O., Gartner, M., Kothe, C., Vilimek, R.: Combining Eye Gaze Input with a Brain-Computer Interface for Touchless Human-Computer Interaction. International Journal of Human Computer Interaction 27(1), 38–51 (2011)

    CrossRef  Google Scholar 

  25. Guyon, I., Elisseeff, A.: An Introduction to Variable and Feature Selection. The Journal of Machine Learning Research 3, 1157–1182 (2003)

    Google Scholar 

  26. Xu, Q., Zhou, H., Wang, Y., Huang, J.: Fuzzy support vector machine for classification of EEG signals using wavelet-based features. Medical Engineering & Physics 31, 858–865 (2009)

    CrossRef  Google Scholar 

  27. W3C: CSS Techniques for Web Content Accessibility Guidelines 1.0, Obtained in December 2011, from W3 (2010), http://www.w3.org/TR/WCAG10-CSS-TECHS

  28. W3C: Fonts, Obtained in December 2011, from W3 (2011), http://www.w3.org/TR/CSS2/fonts.html

  29. Fisch, B.: Fisch and Spehlmann’s EEG Primer: Basic Principles of Digital and Analog EEG. Elesevier (1999) ISBN 978-0-444-82148-5

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Oliveira, I.I.P., Guimarães, N.M. (2013). Practical Neurophysiological Analysis of Readability as a Usability Dimension. In: Holzinger, A., Ziefle, M., Hitz, M., Debevc, M. (eds) Human Factors in Computing and Informatics. SouthCHI 2013. Lecture Notes in Computer Science, vol 7946. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39062-3_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-39062-3_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39061-6

  • Online ISBN: 978-3-642-39062-3

  • eBook Packages: Computer ScienceComputer Science (R0)