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Comparing the Levels of Frustration between an Eye-Tracker and a Mouse: A Pilot Study

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Human Factors in Computing and Informatics (SouthCHI 2013)

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

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Abstract

This paper tries to identify increases in user frustration when using Eye-Tracking devices as compared to common interfacing devices like a standard mouse. For this, we used an electroencephalograph (EEG) to measure frustration levels while users navigated within a maze using each of the referred devices. Results from the analysis performed on the EEG data indicate that Eye-tracking has the same amount of frustration as a standard mouse for common mouse tracking tasks. In addition, a correlation between the user’s reported frustration and the extracted EEG data could not be found rendering the above result virtually invalid. The users’ self-reported frustration lends support to our hypothesis but it still is not statistically significant and hence does not confirm the hypothesis.

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References

  1. Zuchowski, A.: Eye Tracking Methodology: Theory and Practice. Springer, Berlin (2003)

    Book  Google Scholar 

  2. Carew, T.J.: Behavioral Neurobiology: The Cellular Organization of Natural Behavior. Sinauer Associates Inc. (2004)

    Google Scholar 

  3. Gevins, A., Zeitlin, G., Yingling, C., Doyle, J., Dedon, M., Schaffer, R., Roumasset, J., Yeager, C.: EEG patterns during cognitive tasks. I. Methodology and analysis of complex behaviors. Electroencephalography and Clinical Neurophysiology 47(6), 693–703 (1979)

    Article  Google Scholar 

  4. Wolpaw, J.R., Birbaumer, N., McFarland, D.J., Pfurtscheller, G., Vaughan, T.M.: Braincomputer interfaces for communication and control, Clinical neurophysiology? Official Journal of the International Federation of Clinical Neurophysiology 113, 767–791 (2002)

    Article  Google Scholar 

  5. Lecuyer, A., Lotte, F., Reilly, R.B., Leeb, R., Hirose, M., Slater, M.: Brain-Computer Interfaces, Virtual Reality, and Videogames. Computer 41, 66–72 (2008)

    Article  Google Scholar 

  6. Loudin, J.D., Simanovskii, D.M., Vijayraghavan, K., Sramek, C.K., Butterwick, A.F., Huie, P., McLean, G.Y., Palanker, D.V.: Optoelectronic retinal prosthesis: system design and performance. J. Neural Eng. 4(1), S72–S84 (2007)

    Google Scholar 

  7. Emotiv | EEG System | Electroencephalography, http://emotiv.com/ (accessed: December 16, 2012)

  8. Taylor, G.S., Schmidt, C.: Empirical Evaluation of the Emotiv EPOC BCI Headset for the Detection of Mental Actions. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 56(1), pp. 193–197 (September 2012)

    Google Scholar 

  9. Goldberg, B., Brawner, K.W., Holden, H.K.: Efficacy of Measuring Engagement during Computer-Based Training with Low-Cost Electroencephalogram (EEG) Sensor Outputs. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 56(1), pp. 198–202 (September 2012)

    Google Scholar 

  10. SensoMotoric Instruments GmbH Gaze and Eye Tracking Systems Applications Neuromarketing, http://www.smivision.com/en/gaze-and-eye-tracking-systems/applications/neuromarketing.html (accessed: December 16, 2012)

  11. Klem, G.H., Lders, H.O., Jasper, H.H., Elger, C.: The ten-twenty electrode system of the International Federation. The International Federation of Clinical Neurophysiology, Electroencephalogr. Clin. Neurophysiol. Suppl. 52, 3–6 (1999)

    Google Scholar 

  12. Hart, S.G.: NASA-Task Load Index (NASA-TLX); 20 Years Later. In: Proceedings of the Human Factors and Ergonomics Society 50th Annual Meeting, pp. 904–908. HFES, Santa Monica (2006)

    Google Scholar 

  13. Ashmore, M., Duchowski, A.T., Shoemaker, G.: Efficient Eye Pointing with a Fisheye Lens. In: Proceedings of Graphics interface 2005, ACM International Conference Proceeding Series, vol. 112, pp. 203–210 (2005)

    Google Scholar 

  14. Jacob, R.J.K.: What You Look at is What You Get: Eye Movement-Based Interaction Techniques. In: Proc. CHI 1990, pp. 11–18. ACM Press (1990)

    Google Scholar 

  15. Zhai, S., Morimoto, C., Ihde, S.: Manual and gaze input cascaded (MAGIC) pointing. In: Proc. of CHI 1999, pp. 246–253. ACM (1999)

    Google Scholar 

  16. Salvucci, D.D., Anderson, J.R.: Intelligent Gaze-Added Interfaces. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2000, pp. 273–280. ACM Press (2000)

    Google Scholar 

  17. McGuffin, M., Balakrishnan, R.: Acquisition of Expanding Targets. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems CHI 2002, pp. 57–64. ACM Press (2002)

    Google Scholar 

  18. Miniotas, D., Špakov, O., MacKenzie, I.S.: Eye Gaze Interaction with Expanding Targets. In: CHI 2004 Extended Abstracts on Human Factors in Computing Systems, pp. 1255–1258. ACM Press (2005)

    Google Scholar 

  19. Kumar, M., Paepcke, A., Winograd, T.: EyePoint: Practical Pointing and Selection Using Gaze and Keyboard. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems CHI 2007, pp. 421–430. ACM Press (2007)

    Google Scholar 

  20. Tobii Technology, Tobii TX300 Eye Tracker Users Manual (2011)

    Google Scholar 

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Noronha, H., Sol, R., Vourvopoulos, A. (2013). Comparing the Levels of Frustration between an Eye-Tracker and a Mouse: A Pilot Study. 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_7

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  • DOI: https://doi.org/10.1007/978-3-642-39062-3_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39061-6

  • Online ISBN: 978-3-642-39062-3

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