doi:10.1016/j.ijhcs.2005.08.012
Copyright © 2005 Elsevier Ltd All rights reserved.
An empirical investigation into user navigation of digital video using the VCR-like control set
Chris Crockford and Harry Agius
, 
Brunel University, School of Information Systems, Computing and Mathematics, St. John's, Uxbridge, Middlesex UB8 3PH, UK
Received 24 November 2004;
revised 24 July 2005;
accepted 18 August 2005.
Communicated by P. Pendharkar.
Available online 3 October 2005.
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Abstract
There has been an almost explosive growth in digital video in recent years. The convention for enabling users to navigate digital video is the Video Cassette Recorder-like (VCR-like) control set, which is dictated by the proliferation of media players that embody it, including Windows Media Player and QuickTime. However, there is a dearth of research seeking to understand how users relate to this control set and how useful it actually is in practice. This paper details our empirical investigation of the issue. A digital video navigation system with a VCR-like control set was developed and subsequently used by a large sample of users (n=200), who were required to complete a number of goal-directed navigational tasks. Each user's navigational activity was tracked and recorded automatically by the system. Analysis of the navigational data revealed a range of results concerning how the VCR-like control set both enhanced and limited the user's ability to locate sequences of interest, including a number of searching and browsing strategies that were exploited by the users.
Keywords: Digital video; User navigation; Browsing; Searching; VCR; Media players; Multimedia; Empirical study
Fig. 1. VCR-like control set in Windows Media Player 10 (left) and QuickTime 6 (right).
Fig. 2. A typical question screen.
Fig. 3. Mean browse and search times per question across all semantic aspects.
Fig. 4. The mean time taken to perform the search elements of the questions for each semantic aspect.
Fig. 5. The mean time taken to perform the browse elements of the questions for each semantic aspect.
Fig. 6. Circular incremental.
Fig. 7. Circular decremental
Fig. 9. Random selection.
Fig. 10. The distribution of search techniques.
Fig. 11. Usages of search techniques for enacted semantic aspects.
Fig. 12. Usages of search techniques for conveyed semantic aspects.
Fig. 13. Mean completion times for the four identified search techniques.
Fig. 14. Straight viewing technique.
Fig. 15. Speed switching technique.
Fig. 16. Inaccurate shuttle determination technique.
Fig. 17. Accurate shuttle determination technique.
Fig. 18. Halt and refine technique.
Fig. 19. Percentage deployments of identified browse techniques.
Fig. 20. Percentage deployment of the five browse techniques for enacted semantic aspects.
Fig. 21. Percentage deployments of the five browse techniques for conveyed semantic aspects.
Fig. 22. Mean completion times for the five identified browse techniques.
Table 1.
Table showing the completion times for all of the 24 questions undertaken (in minutes and seconds, apart from s.e. which is in seconds and milliseconds)
