Siento: an experimental platform for behavior and psychophysiology in HCI

Authors:
Rafael A. Calvo;Md. Sazzad Hussain;Payam Aghaei Pour;Omar Alzoubi
Affiliations:
School of Electrical and Information Engineering, University of Sydney, Australia;School of Electrical and Information Engineering, University of Sydney, Australia;School of Electrical and Information Engineering, University of Sydney, Australia;School of Electrical and Information Engineering, University of Sydney, Australia
Venue:
ACII'11 Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part II
Year:
2011

Citing 2
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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.