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

Ryan Mannschreck, Kai Steven Kunze

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationUbiComp/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
PublisherAssociation for Computing Machinery, Inc
Pages150-153
Number of pages4
ISBN (Electronic)9781450359665
DOIs
Publication statusPublished - 2018 Oct 8
Event2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018 - Singapore, Singapore
Duration: 2018 Oct 82018 Oct 12

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

Keywords

  • Music
  • Posture

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Information Systems

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  • Cite this

    Mannschreck, R., & Kunze, K. S. (2018). Poster: Piece - Towards personalized music video annotations based on the user's physiological data. In 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 (pp. 150-153). Association for Computing Machinery, Inc. https://doi.org/10.1145/3267305.3267656