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Improving voluntary pupil size changes for HCI

Published: 20 May 2014 Publication History

Abstract

Previous research [11] refers to pupil size as a passive information channel that provides insight into the affective state of the viewer but defies any voluntary control. However, since physiological arousal is influenced by various cognitive processes, we assume that pupil behavior can be brought under control by strategies of emotional regulation and cognitive processing. In the present paper we provide a methodological approach for examining the potentials and limits of active control of pupil dilation. Based on [3], we developed methods applying graphical feedback on systematic pupil diameter changes to utilize mechanisms of operant conditioning to gradually enable voluntary control over pupil size. Calculation models are introduced to carefully disentangle task relevant and irrelevant pupil dynamics. Based on mean values, single measuring and interpolation, we conceived computational rules to validate pupil data in real-time and determine criteria for artefact rejection. Extensive research based on the depicted methodology may shed further light on learning achievements related to emotional control and will reveal the potential of pupil-based input channels for the future development of affective Human-Computer Interfaces.

References

[1]
Ark, W., Dryer, D. and Lu, D. 1999. The Emotion Mouse. In Human-Computer Interaction: Ergonomics and User Interfaces, H. J. Bullinger and J. Ziegler, Eds. Lawrence Erlbaum, 818--823.
[2]
Bremner, F. D. 2012. Pupillometric Evaluation of the Dynamics of the Pupillary Response to a Brief Light Stimulus in Healthy Subjects. Investigative Ophthalmology & Visual Science 53 (October 2012), 7343--7347. DOI= 10.1167/iovs.12--10881.
[3]
Ekman, I., Poikola, A., Mäkäräinen, M., Takal, T. and Hämäläinen, P. 2008. Voluntary Pupil Size Change as Control in Eyes Only Interaction. In Proceedings of the 2008 symposium on Eye tracking research & applications. ETRA '08. ACM, New York, NY, 115--118. DOI= 10.1145/1344471.1344501.
[4]
Healey, J. and Picard, R. W. 2005. Detecting stress during real-world driving tasks using physiological sensors. IEEE Transactions on Intelligent Transportation Systems 6 (June 2005), 156--166. DOI= 10.1109/TITS.2005.848368.
[5]
Hess, E. H. 1972. Pupillometrics. In Handbook of Psychology, N. S. Greenfield and R. A. Sternbach, Eds. Holt, Rinehart & Winston, 491--531.
[6]
Hyönä, J., Tommola, J. and Alaja, A. M. 1995. Pupil dilation as a measure of processing load in simultaneous interpretation and other language tasks. Q. J. Exp. Psychol. A 48 (August 1995), 598--612.
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Jacobs, R. J. K. 1996. The future of input devices. ACM Comput. Surv. 28, 4es, Article 138 (December 1996). DOI= http://doi.acm.org/10.1145/242224.242400.
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Kahneman, D. and Beatty, J. 1966. Pupil diameter and load on memory. Science, 154 (December 1966), 1583--1585. DOI= 10.1126/science.154.3756.1583.
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Loewenstein, G. and Lerner, J. S. 2003. The role of affect in decision making. In Handbook of Affective Science, R. Davidson, H. Goldsmith and K. Scherer, Eds. Oxford University Press, 619--642.
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Partala, T., Jokiniemi, M. and Surakka, V. 2000. In Proceedings of the 2000 symposium on Eye tracking research & applications. ETRA '00. ACM, New York, NY, 123--129. DOI= http://doi.acm.org/10.1145/355017.355042.
[11]
Partala, T. and Surakka, V. 2003. Pupil size variation as an indication of affective processing. International Journal of Human-Computer Studies 59 (July 2003), 185--198. DOI= http://dx.doi.org/10.1016/S1071--5819(03)00017-X.
[12]
Picard, R. W. 1997. Affective Computing. MIT Press, Cambrigde, MA.
[13]
SensoMotoric Instruments, iView XTM Hi-Speed 1250, http://www.smivision.com/en/gaze-and-eye-tracking-systems/.
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Wilhelm, B., Giedke, H., Luèdtke, H., Bittner, E., Hofmann, A. and Wilhelm, H. 2001. Daytime variations in central nervous system activation measured by pupillographic sleepiness test. Journal of Sleep Research 10, 1--7.

Cited By

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  • (2021)Emergence of Metacognitive Knowledge via Audible Pupil SizeProceedings of the 32nd European Conference on Cognitive Ergonomics10.1145/3452853.3452870(1-7)Online publication date: 26-Apr-2021
  • (2020)Voluntary Pupil Control in Noisy EnvironmentsACM Symposium on Eye Tracking Research and Applications10.1145/3379156.3391358(1-5)Online publication date: 2-Jun-2020
  • (2018)Pupil responses signal less inhibition for own relative to other namesProceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications10.1145/3204493.3204576(1-5)Online publication date: 14-Jun-2018

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    PervasiveHealth '14: Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare
    May 2014
    459 pages
    ISBN:9781631900112

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    ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)

    Brussels, Belgium

    Publication History

    Published: 20 May 2014

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    Author Tags

    1. affective human-computer interface
    2. biofeedback
    3. emotions
    4. pupil size
    5. voluntary control

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    View all
    • (2021)Emergence of Metacognitive Knowledge via Audible Pupil SizeProceedings of the 32nd European Conference on Cognitive Ergonomics10.1145/3452853.3452870(1-7)Online publication date: 26-Apr-2021
    • (2020)Voluntary Pupil Control in Noisy EnvironmentsACM Symposium on Eye Tracking Research and Applications10.1145/3379156.3391358(1-5)Online publication date: 2-Jun-2020
    • (2018)Pupil responses signal less inhibition for own relative to other namesProceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications10.1145/3204493.3204576(1-5)Online publication date: 14-Jun-2018

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