XV-Pod: An Emotion Aware, Affective Mobile Video Player
2009 (English)In: 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009, 2009, 277-281 p.Conference paper (Refereed)
Today's vast use and frequent uploading of videos on the internet has created a need for a product that would search, select, and recommend videos that would be of interest to the user. Specifically, the video play list will be tailored to the user's emotional mood. In this paper, we proposed XV-Pod, an emotion aware mobile video player that aims to tailor video selection based on a user's emotional mood. In order to select videos that would be best suited to the user, the user's emotional impact of videos was studied through physiological signals collected by BodyMedia SenseWear . We investigated two different approaches on recognizing user's emotional response. In the first approach, we conducted an empirical study to find the emotional intensity change of the user before and after viewing the video. In the second approach, we tried to identify emotions of user by using a decision tree machine-learning algorithm. We discuss the results of both approaches. Finally, we discuss some implications of our findings and future work.
Place, publisher, year, edition, pages
2009. 277-281 p.
Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:kth:diva-79876DOI: 10.1109/CSIE.2009.982OAI: oai:DiVA.org:kth-79876DiVA: diva2:495781
2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009. Los Angeles, CA. 31 March 2009 - 2 April 2009
QC 201202102012-02-092012-02-092012-02-10Bibliographically approved