A study on enhancing timeline-like visualization with verbal text

Jia Kai Chou, Isaac Liao, Kwan-Liu Ma, Chuan Kai Yang

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

1 Scopus citations


There has been a long-standing question of whether sound or audio annotations may assist in data visualization tasks. This paper presents our study focusing on enhancing timeline/storyline like visualizations with audio annotations. Timeline visualizations are widely used to illustrate interactions among different entities over time. This type of visualizations facilitate reviewing important activities and their associations. For a long timeline, however, it is difficult for the viewer to remember all the essential information found in the visualization process. Since hearing is another primary human sense for perceiving information, we conjecture that adding audio annotations to selected sections of a timeline visualization can help improve the viewer's recall of important events. We have designed a user study based on augmenting storyline visualizations with verbal text, and tested subjects with three different settings: visual cues only, verbal text only, and both. While our test results do not give a strong indication of the clear advantage of adding verbal text, the lessons learned in our study suggest directions for further study and will help us and others design audio-augmented visualization systems.

Original languageEnglish (US)
Title of host publicationProceedings - 2013 International Conference on Cyberworlds, CW 2013
PublisherIEEE Computer Society
Number of pages8
ISBN (Print)9781479922451
StatePublished - Jan 1 2013
Event2013 International Conference on Cyberworlds, CW 2013 - Yokohama, Japan
Duration: Oct 21 2013Oct 23 2013


Other2013 International Conference on Cyberworlds, CW 2013


  • Improving recall
  • Timeline/storyline visualization
  • Verbal text

ASJC Scopus subject areas

  • Computer Networks and Communications


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