Towards optimal navigation through video content on interactive TV

Jinwoo Kim, Hyunho Kim, Kyungwook Park

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)


A wide variety of video content-news programs, documentaries, sports shows, movies, and the like-is broadcast today in digital format to interactive TVs. Unlike a conventional TV, an interactive TV allows the viewer to navigate back and forth in time through the available content. Surprisingly, few studies have addressed the problems that arise when navigation along the time dimension becomes possible. The aim of this study was to develop navigation aids for interactive TVs that are theoretically grounded and empirically verified. Toward this end, we first designed two new navigation aids based on episodic indexing theory (EIT): a recency-frame and a short-reminder. Second, we built an interactive TV simulator (ITS) to test the new navigation aids in a controlled experiment. Finally, we devised several measures appropriate for evaluating navigation aids for interactive TV in addition to traditional usability measures. Subsequently, employing the interactive TV simulator and the newly devised measures, we conducted an experiment to evaluate the effectiveness of the two proposed navigation aids. We found that both navigation aids enhanced the quality of the viewer's experience. The paper concludes with a discussion of the study's limitations and implications.

Original languageEnglish
Pages (from-to)723-746
Number of pages24
JournalInteracting with Computers
Issue number4
Publication statusPublished - 2006 Jul

Bibliographical note

Funding Information:
This research was funded by Korea Research Foundation (KRF-2001-C00340). The authors would like to thank Dr. Joonah Park at Samsung Advanced Institute of Technology, Dr. Woohun Lee at Korea Advanced Institute of Science and Technology, Mr. Dongseog Ryu at Daewoo Electronics, and Mr. Hoyoung Jeong at LG Electronics. They also appreciate Dianne Murray, the general editor of IwC, and three anonymous reviewers.

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction


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