Skip to main content
SpringerLink
Log in
Book cover

International Conference on Neural Information Processing

ICONIP 2018: Neural Information Processing pp 340–352Cite as

EEG Signal Analysis in 3D Modelling to Identify Correlations Between Task Completion in Design User’s Cognitive Activities

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11306))

Abstract

Modelling software applications vary from construction to gaming, but learning a modelling software and becoming a skilled user takes a long time and effort. Reducing the time to learn a modelling software is an important topic in human-computer interaction (HCI). To develop futuristic computer-aided design (CAD) systems that require little or no training, it is important to study the user-dependent factors that affect the system performance directly and indirectly by analysing the cognitive activity of the users. In this research, we have presented a new method to segment the EEG data: we segmented designer’s actions and then used it to align with the EEG data, while they draw a 3D object in AutoCAD. We video recorded the design activities and Electroencephalography (EEG) signals while users were performing the task. The mean EEG power of the alpha, beta, theta and gamma bands has been used to analyse the designer behaviour. We found that the users who completed the experiment in a short time-frame were performing more physical actions than perceptual and conceptual actions. Participants with low Completion Time (CT) participants perform 30% more actions per minute than high-CT participants. EEG analysis demonstrated that the task completion time (CT) was negatively correlated with physical actions. Alpha-and beta-band analysis showed that low-CT participants were more comfortable in performing physical action and high-CT participants are relaxed in performing conceptual actions.

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

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

Learn about institutional subscriptions

References

  1. Al-Qahtani, A., Nasir, A., Shakir, M.Z., Qaraqe, K.A.: Cognitive impairments in human brain due to wireless signals and systems: an experimental study using EEG signal analysis. In: 2013 IEEE 15th International Conference on e-Health Networking, Applications & Services (Healthcom), pp. 1–3. IEEE (2013)

    Google Scholar 

  2. Chiu, I., Shu, L.: Potential limitations of verbal protocols in design experiments. In: ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, pp. 287–296. American Society of Mechanical Engineers (2010)

    Google Scholar 

  3. De Graaf, T.A., Gross, J., Paterson, G., Rusch, T., Sack, A.T., Thut, G.: Alpha-band rhythms in visual task performance: phase-locking by rhythmic sensory stimulation. PloS one 8(3), e60035 (2013)

    Google Scholar 

  4. Delorme, A., Makeig, S.: EEGLAB: an open source toolbox for analysis of single-trial eeg dynamics including independent component analysis. J. Neurosci. Methods 134(1), 9–21 (2004)

    Article  Google Scholar 

  5. Fairclough, S.H., Venables, L., Tattersall, A.: The influence of task demand and learning on the psychophysiological response. Int. J. Psychophysiol. 56(2), 171–184 (2005)

    Article  Google Scholar 

  6. Gal, U., Lyytinen, K., Yoo, Y.: The dynamics of it boundary objects, information infrastructures, and organisational identities: the introduction of 3D modelling technologies into the architecture, engineering, and construction industry. Eur. J. Inf. Syst. 17(3), 290–304 (2008)

    Article  Google Scholar 

  7. Gevins, A., et al.: Monitoring working memory load during computer-based tasks with EEG pattern recognition methods. Hum. Fact. 40(1), 79–91 (1998)

    Article  Google Scholar 

  8. Gola, M., Magnuski, M., Szumska, I., Wróbel, A.: EEG beta band activity is related to attention and attentional deficits in the visual performance of elderly subjects. Int. J. Psychophysiol. 89(3), 334–341 (2013)

    Article  Google Scholar 

  9. Gruzelier, J.H.: EEG-neurofeedback for optimising performance. i: a review of cognitive and affective outcome in healthy participants. Neurosci. Biobehav. Rev. 44, 124–141 (2014)

    Article  Google Scholar 

  10. Gundel, A., Wilson, G.F.: Topographical changes in the ongoing eeg related to the difficulty of mental tasks. Brain Topogr. 5(1), 17–25 (1992)

    Article  Google Scholar 

  11. Hjortskov, N., Rissén, D., Blangsted, A.K., Fallentin, N., Lundberg, U., Søgaard, K.: The effect of mental stress on heart rate variability and blood pressure during computer work. Eur. J. Appl. Physiol. 92(1–2), 84–89 (2004)

    Article  Google Scholar 

  12. Kahneman, D., Egan, P.: Thinking, Fast and Slow, vol. 1. Farrar, Straus and Giroux, New York (2011)

    Google Scholar 

  13. Kavakli, M., Boyali, A.: Design: robust gesture recognition in conceptual design, sensor analysis and synthesis. In: Gulrez, T., Hassanien, A.E. (eds.) Advances in Robotics and Virtual Reality, pp. 201–225. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-23363-0_9

    Chapter  Google Scholar 

  14. Kavakli, M., Suwa, M., Gero, J., Purcell, T.: Sketching interpretation in novice and expert designers. In: Visual and Spatial Reasoning in Design, vol. 99, pp. 209–219. Citeseer (1999)

    Google Scholar 

  15. Klimesch, W., Sauseng, P., Hanslmayr, S.: EEG alpha oscillations: the inhibition-timing hypothesis. Brain Res. Rev. 53(1), 63–88 (2007)

    Article  Google Scholar 

  16. Kristiansen, J., et al.: Stress reactions to cognitively demanding tasks and open-plan office noise. Int. Arch. Occup. Environ. Health 82(5), 631–641 (2009)

    Article  Google Scholar 

  17. Kuusela, H., Pallab, P.: A comparison of concurrent and retrospective verbal protocol analysis. Am. J. Psychol. 113(3), 387 (2000)

    Article  Google Scholar 

  18. Liu, Y., Ritchie, J.M., Lim, T., Kosmadoudi, Z., Sivanathan, A., Sung, R.C.: A fuzzy psycho-physiological approach to enable the understanding of an engineer affect status during cad activities. Computer-Aided Design 54, 19–38 (2014)

    Article  Google Scholar 

  19. Mandryk, R.L., Atkins, M.S.: A fuzzy physiological approach for continuously modeling emotion during interaction with play technologies. Int. J. Hum.-Comput. Stud. 65(4), 329–347 (2007)

    Article  Google Scholar 

  20. Nguyen, T.A., Zeng, Y.: Analysis of design activities using EEG signals. In: ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, pp. 277–286. American Society of Mechanical Engineers (2010)

    Google Scholar 

  21. Nguyen, T.A., Zeng, Y.: A physiological study of relationship between designer mental effort and mental stress during conceptual design. Comput.-Aided Des. 54, 3–18 (2014)

    Article  Google Scholar 

  22. Nguyen, T.A., Zeng, Y.: Effects of stress and effort on self-rated reports in experimental study of design activities. J. Intell. Manuf. 28(7), 1609–1622 (2017)

    Article  Google Scholar 

  23. Pellouchoud, E., Smith, M.E., McEvoy, L., Gevins, A.: Mental effort-related eeg modulation during video-game play: Comparison between juvenile subjects with epilepsy and normal control subjects. Epilepsia 40(s4), 38–43 (1999)

    Article  Google Scholar 

  24. Sauro, J., Kindlund, E.: A method to standardize usability metrics into a single score. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 401–409. ACM (2005)

    Google Scholar 

  25. Schächinger, H., Weinbacher, M., Kiss, A., Ritz, R., Langewitz, W.: Cardiovascular indices of peripheral and central sympathetic activation. Psychosom. Med. 63(5), 788–796 (2001)

    Article  Google Scholar 

  26. Sterman, M., Mann, C.: Concepts and applications of EEG analysis in aviation performance evaluation. Biol. Psychol. 40(1–2), 115–130 (1995)

    Article  Google Scholar 

  27. Suwa, M., Purcell, T., Gero, J.: Macroscopic analysis of design processes based on a scheme for coding designers’ cognitive actions. Des. Stud. 19(4), 455–483 (1998)

    Article  Google Scholar 

  28. Tang, Y., Zeng, Y.: Quantifying designer mental stress in the conceptual design process using kinesics study. In: DS 58–9: Proceedings of ICED 09, The 17th International Conference on Engineering Design, vol. 9, Human Behavior in Design, Palo Alto, CA, USA, 24–27 August 2009

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. VISOR (Virtual and Interactive Simulations of Reality) Research Group, Department of Computing, Macquarie University, Sydney, Australia

    Muhammad Zeeshan Baig & Manolya Kavakli

Authors
  1. Muhammad Zeeshan Baig
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Manolya Kavakli
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Muhammad Zeeshan Baig .

Editor information

Editors and Affiliations

  1. The Chinese Academy of Sciences, Beijing, China

    Long Cheng

  2. City University of Hong Kong, Kowloon, Hong Kong

    Andrew Chi Sing Leung

  3. Kobe University, Kobe, Japan

    Seiichi Ozawa

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Baig, M.Z., Kavakli, M. (2018). EEG Signal Analysis in 3D Modelling to Identify Correlations Between Task Completion in Design User’s Cognitive Activities. In: Cheng, L., Leung, A., Ozawa, S. (eds) Neural Information Processing. ICONIP 2018. Lecture Notes in Computer Science(), vol 11306. Springer, Cham. https://doi.org/10.1007/978-3-030-04224-0_29

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-04224-0_29

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-04223-3

  • Online ISBN: 978-3-030-04224-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation