Developing navigation graphs for TED talks

Chih Chien Hu*, Han-Lin Li

*Corresponding author for this work

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

TED Talks is one of the most well-known online video providers. However, current TED displaying system is not efficient in helping users to “navigate” among videos. This study utilizes optimization techniques to help users to develop their navigation graphs thus to find TED Talks videos effectively. The synthesized graph representation encodes the visual metaphors among these videos and keywords to enable visual navigation onto a global overview. Such a navigation graph not only allows users to explore the entire collection of videos and keywords, but also supports seeing–sailing–selecting processes for understanding and intuitive guidance for navigation. Our experimental evaluations explicate that the proposed system is more effective and faster than other presentation structures in helping users to explore their preferred materials.

Original languageEnglish
Pages (from-to)26-41
Number of pages16
JournalComputers in Human Behavior
Volume66
DOIs
StatePublished - 1 Jan 2017

Keywords

  • Navigation graph
  • Optimization
  • Recommendation system
  • Seeing-sailing-selecting
  • TED
  • Visualization

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