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Siento: An Experimental Platform for Behavior and Psychophysiology in HCI

  • Rafael A. Calvo
  • Md. Sazzad Hussain
  • Payam Aghaei Pour
  • Omar Alzoubi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6975)

Abstract

We describe Siento, a system to perform different types of affective computing studies. The platform allows for dimensional or categorical models of emotions, self-reported vs. third party reporting and can record and process multiple types of modalities including video, physiology and text. It has been used already in a number of studies. This type of systems can improve the repeatability of experiments. The system is also used for data acquisition, feature extraction and data analysis applying machine learning techniques.

Keywords

Affective computing psychophysiology machine learning HCI 

References

  1. 1.
    Lang, P.J., Bradley, M.M., Cuthbert, B.N.: International affective picture system (IAPS): Technical manual and affective ratings. The Center for Research in Psychophysiology, University of Florida, Gainesville, FL (1997)Google Scholar
  2. 2.
    Hussain, M.S., Calvo, R.A., Aghaei Pour, P.: Hybrid Fusion Approach for Detecting Affects from Multichannel Physiology. In: D´Mello, S., et al. (eds.) ACII 2011, Part I. LNCS, vol. 6974, pp. 568–577. Springer, Heidelberg (2011)Google Scholar
  3. 3.
    Aghaei Pour, P., Hussain, M.S., AlZoubi, O., D’Mello, S., Calvo, R.: The Impact of System Feedback on Learners’ Affective and Physiological States. In: Aleven, V., Kay, J., Mostow, J. (eds.) ITS 2010. LNCS, vol. 6094, pp. 264–273. Springer, Heidelberg (2010)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Rafael A. Calvo
    • 1
  • Md. Sazzad Hussain
    • 1
  • Payam Aghaei Pour
    • 1
  • Omar Alzoubi
    • 1
  1. 1.School of Electrical and Information EngineeringUniversity of SydneyAustralia

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