Skip to main content

AutoMyDe: A Detector for Pupil Dilation in Cognitive Load Measurement

  • Conference paper
  • First Online:
Smart Organizations and Smart Artifacts

Part of the book series: Lecture Notes in Information Systems and Organisation ((LNISO,volume 7))

Abstract

Pupil dilation is known to reflect the emotional arousal. Pleasure, effort and fear are examples of stimuli inducing the nervous system to cause dilation mydriasis. The work proposes a tool to automatically quantify the mydriasis in order to evaluate mental effort in HCI. The system uses a feature-based approach and monitors the pupil behavior during a given task. As mydriasis is entailed by various reasons, our system distinguishes the cause-effect relationships by synchronizing monitoring and test, dividing the monitoring in fixed intervals and retrieving a survey of the mydriatic events for each determined period of time. We present a case of study analyzing users resolving arithmetical tasks, viewing pictures and using a mobile application. In each scenario, tests intend to impose gradually increasing reactions to the users. The paper will present different techniques for pupil dilation measurements and related results of mental effort evaluation.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Andreassi, J.: Pupillary response and behavior. Psychophysiology: Human Behavior & Physiological Response. 4th ed. pp. 218–233. Lawrence Erlbaum Associates, Publishers (2000)

    Google Scholar 

  2. Hess, E.H., Polt, J.M.: Pupil size as related to interest value of visual stimuli. Science 349–350 (1960)

    Google Scholar 

  3. Kahneman, D.: Attention and Effort (Experimental Psychology), p. 0130505188. Englewood Cliffs, Prentice-Hall (1973)

    Google Scholar 

  4. Polson, P.G., Lewis, C., Rieman, J., Wharton, C.: Cognitive walkthroughs: a method for theory-based evaluation of user interfaces, p. 5. Academic Press Ltd., Int. J. Man-Mach. Stud. 36, 741–773 (1992)

    Google Scholar 

  5. Paas, F., Renkl, A., Sweller, J.: Cognitive load theory and instructional design: recent developments. Educ. Psychol. 38 (1), 1–4

    Google Scholar 

  6. Fernandes, T.: Global Interface Design: A Guide to Designing International User Interfaces. Academic Press Professional, Inc., San Diego. 0-12-253790-4 (1995)

    Google Scholar 

  7. Marcus, A., Gould, E.: Crosscurrents: cultural dimensions and global web user-interface design. West. pp. 32–46, 1072–5520. ACM interactions, New York (2000)

    Google Scholar 

  8. Furlong, M.S., Kearsley, G.: Computers for Kids Over 60. Senior Net, 1993. 9780962670039

    Google Scholar 

  9. Druin, A., Inkpen, K.: When Are Personal Technologies for Children? p. 3. Springer, London, Personal Ubiquitous Comput. 5, 191–194. 1617–4909

    Google Scholar 

  10. Edwards, A.D.N.: Extra-ordinary Human-computer Interaction: Interfaces for Users with Disabilities, p. 9780521434133. Cambridge University Press, Cambridge (1995)

    Google Scholar 

  11. Paciello, M.G.: Web Accessibility for People with Disabilities, p. 9781929629084. Taylor & Francis, London (2000)

    Google Scholar 

  12. Wickens, C.D., Hollands, J.G.: Engineering Psychology and Human Performance, p. 9780321047113. Prentice Hall PTR, Upper Saddle River (2000)

    Google Scholar 

  13. Ashcraft, M.H.: Cognition, 3rd edn. Prentice Hall, New York (2002). 9780130307293

    Google Scholar 

  14. Kühnel, C., Westermann, T., Weiss, B., Möller, S.: Evaluating Multimodal Systems: A Comparison of Established Questionnaires and Interaction Parameters. Reykjavik, pp. 286–294. ACM, Iceland 2010. 978-1-60558-934-3

    Google Scholar 

  15. Bias, R.G., Mayhew, D.J.: Cost-Justifying Usability: An Update for an Internet Age, p. 9780120958115. Morgan Kaufman, San Francisco (2005)

    Google Scholar 

  16. Andreassi, J.L., Fichera, L.V.: Cardiovascular reactivity during public speaking as a function of personality variables, p. 3, Int J Psychophysiol, 37, 267–273. 0167-8760 (2000)

    Google Scholar 

  17. Schuller, B., Batliner, A., Steidl, A., Seppi, D.: Recognising realistic emotions and affect in speech: State of art and lessons learnt from the first challenge. Speech Commun. 1062–1087

    Google Scholar 

  18. Marshall, S.P.: The Index of Cognitive Activity: Measuring cognitive workload. 2002. In: Proceedings of the 7th IEEE Conference on Human Factors and Power Plants

    Google Scholar 

  19. Calandra, D.M., Caso, A., Cutugno, F., Origlia, A., Rossi, S.: CoWME: a general framework to evaluate cognitive workload during multimodal interaction. Proceedings of ICMI (2013)

    Google Scholar 

  20. Hansen, D.W., Ji, Q.: In the eye of the beholder: a survey of models for eyes and gaze. 3, 2010, IEEE Trans. Pattern Anal. Mach. Intell. 32

    Google Scholar 

  21. Aylward, J.J., Erwann, R., Stephen, R.: Automatic quantification of pupil dilation under stress. 2004

    Google Scholar 

  22. Duda, R.O., Hart, P.E.: Use of the hough transformation to detect lines and curves in pictures. p. 1, ACM, Commun. ACM, 15, 11–15 (1972). 0001-0782

    Google Scholar 

  23. Shanbezadeh, J., Asadifard, M.,: Automatic adaptive center of pupil detection using face detection and CDF analysis. In: Proceedings of the International MultiConference of Engineers and Computer Scientists, vol. I (2010)

    Google Scholar 

  24. Viola, P., Jones, M.: Rapid object detection using a boosted cascade of simple features. Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001. vol. 1, pp. 1063–6919 (2001)

    Google Scholar 

  25. Baggio, D.L., Emami, S., Escrivá, D.M., Ievgen, K., Mahmood, N., Saragih, J., Shilkrot, S.: Mastering OpenCV with Practical Computer Vision Projects. Packt Publishing, Limited (2012). 9781849517829

    Google Scholar 

Download references

Acknowledgments

Work supported by the European Community and the Italian Ministry of University and Research and EU under the PON OR.C.HE.S.T.R.A. project.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Davide Maria Calandra .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Calandra, D.M., Cutugno, F. (2014). AutoMyDe: A Detector for Pupil Dilation in Cognitive Load Measurement. In: Caporarello, L., Di Martino, B., Martinez, M. (eds) Smart Organizations and Smart Artifacts. Lecture Notes in Information Systems and Organisation, vol 7. Springer, Cham. https://doi.org/10.1007/978-3-319-07040-7_15

Download citation

Publish with us

Policies and ethics