EmoPlayer: A media player for video clips with affective annotations

  • Authors:

  • Ling Chen;Gen-Cai Chen;Cheng-Zhe Xu;Jack March;Steve Benford

  • Affiliations:

  • College of Computer Science, Zhejiang University, Hangzhou 310027, PR China and School of Computer Science, The University of Nottingham, Nottingham NG8 1BB, UK;College of Computer Science, Zhejiang University, Hangzhou 310027, PR China;College of Computer Science, Zhejiang University, Hangzhou 310027, PR China;School of Computer Science, The University of Nottingham, Nottingham NG8 1BB, UK;School of Computer Science, The University of Nottingham, Nottingham NG8 1BB, UK

  • Venue:
  • Interacting with Computers
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

The development of multimedia annotation technique provides the possibility to redesign the interfaces of widely used media players, and EmoPlayer is such a media player that can be used to play video clips with affective annotations. A user can select a character in a video clip and view the distribution of his/her emotions along the video timeline through a colour bar based interface. Two experiments were conducted to evaluate the efficiency of affective annotation. The results of these experiments indicate that affective annotation is effective in both improving the speed of locating a specific scene within a video clip and helping comprehend a video clip in a limited viewing time period. Based on the analysis of recorded operations of participants, the strategies employed by participants and the factors that might influence the utilization of affective annotation are also highlighted.