@inproceedings{0211fecab1664dd3933ae3459f2c73cd,
title = "Towards an Affective Video Recommendation System",
abstract = "Video streaming services are prominent in people's lives and there is a need for improved video recommendation systems that adapt to their users in a personalized way. This project uses affective computing and non-invasive sensing to address this issue. Our objective is to develop an approach that uses the viewer's emotional reactions as the basis for recommending new content. To achieve this goal, we must first understand how viewers react to videos. We conducted a study where subjects' facial expressions and skin-estimated pulse were monitored while watching videos. Results showed that our approach can estimate dominant emotions 70\% of the time. We found no correlation between the number of emotional reactions people have and how they rate the videos they watch. The pulse estimation is reliable to measure important changes in pulse, however it can still be improved.",
keywords = "Affective computing, photoplethysmography, video recommendation",
author = "Yancarlos Diaz and Alm, \{Cecilia O.\} and Ifeoma Nwogu and Reynold Bailey",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 16th IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018 ; Conference date: 19-03-2018 Through 23-03-2018",
year = "2018",
month = oct,
day = "2",
doi = "10.1109/PERCOMW.2018.8480130",
language = "English",
series = "2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "137--142",
booktitle = "Proceedings - 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018",
address = "United States",
}