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.
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Calvo, R.A., Hussain, M.S., Aghaei Pour, P., Alzoubi, O. (2011). Siento: An Experimental Platform for Behavior and Psychophysiology in HCI. In: D’Mello, S., Graesser, A., Schuller, B., Martin, JC. (eds) Affective Computing and Intelligent Interaction. ACII 2011. Lecture Notes in Computer Science, vol 6975. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24571-8_35
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DOI: https://doi.org/10.1007/978-3-642-24571-8_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24570-1
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