Chapter

Affective Computing and Intelligent Interaction

Volume 6975 of the series Lecture Notes in Computer Science pp 307-308

Siento: An Experimental Platform for Behavior and Psychophysiology in HCI

  • Rafael A. CalvoAffiliated withSchool of Electrical and Information Engineering, University of Sydney
  • , Md. Sazzad HussainAffiliated withSchool of Electrical and Information Engineering, University of Sydney
  • , Payam Aghaei PourAffiliated withSchool of Electrical and Information Engineering, University of Sydney
  • , Omar AlzoubiAffiliated withSchool of Electrical and Information Engineering, University of Sydney

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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