Poster: Piece - Towards personalized music video annotations based on the user's physiological data

Ryan Mannschreck, Kai Kunze

研究成果: Conference contribution

抄録

Our overall goal of our is to provide a personalized method to categorize and find media content of interest based for individual users, especially focusing on implicit feedback (facial expressions, posture and other reactions). This paper presents an initial study to understand tagging and annotation processes for music videos, focusing on Korean Pop videos. We present an initial experimental setup of 10 users watching 5 selected K-Pop Videos. We obtained words, key terms, and phrases users use to describe/search for the music video content in question and recording eye gaze as well as body posture and facial expressions for the participants. In addition we explore Tag identification associated with the video content in a study, to look into cultural and individual differences.

本文言語English
ホスト出版物のタイトルUbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers
出版社Association for Computing Machinery, Inc
ページ150-153
ページ数4
ISBN(電子版)9781450359665
DOI
出版ステータスPublished - 2018 10 8
イベント2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018 - Singapore, Singapore
継続期間: 2018 10 82018 10 12

出版物シリーズ

名前UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers

Other

Other2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018
CountrySingapore
CitySingapore
Period18/10/818/10/12

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Information Systems

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