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Predicting audience responses to movie content from electro-dermal activity signals
2013
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing - UbiComp '13
The ability to assess fine-scale user responses has applications in advertising, content creation, recommendation, and psychology research. Unfortunately, current approaches, such as focus groups and audience surveys, are limited in size and scope. In this paper, we propose a combined biometric sensing and analysis methodology to leverage audience-scale electro-dermal activity (EDA) data for the purpose of evaluating user responses to video. We provide detailed characterization of how temporal
doi:10.1145/2493432.2493508
dblp:conf/huc/SilveiraESS13
fatcat:wz2n7d2lrbbplnrkue3cskqhci