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User evaluation of Físchlár-News: an automatic broadcast news delivery system

Lee, Hyowon and Smeaton, Alan F. and O'Connor, Noel E. and Smyth, Barry (2006) User evaluation of Físchlár-News: an automatic broadcast news delivery system. ACM Transactions on Information Systems (TOIS), 24 (2). pp. 145-189. ISSN 1046-8188

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Abstract

Technological developments in content-based analysis of digital video information are undergoing much progress, with ideas for fully automatic systems now being proposed and demonstrated. Yet because we do not yet have robust operational video retrieval systems that can be deployed and used, the usual HCI practise of conducting a usage study and an informed iterative system design is thus not possible. Físchlár-News is one of the first automatic, content-based broadcast news analysis and archival systems that process broadcast news video so that users can search, browse, and play it in an easy-to-use manner with a conventional web browser. The system incorporates a number of state-of-the-art research components, some of which are not yet considered mature technology, yet it has been built to be robust enough to be deployed to users who are interested in access to daily news throughout a university campus. In this article we report and discuss a user-evaluation study conducted with 16 users, each of whom utilized the system freely for a one month period. Results from a detailed qualitative analysis are presented, looking at collected questionnaires, incident diaries, and interaction-log data. The findings suggest that our users employed the system in conjunction with their other news update methods, such as watching TV news at home and browsing online news websites at their workplace, their major concerns being up-to-dateness and coverage of the news content. They tried to accommodate the system to fit their established web browsing habits, and they found local news content and the ability to play self-contained news stories on their desktop as major values of the system. Our study also resulted in a detailed wishlist of new features which will help in the further development of both our and others' systems.

Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:User evaluation; usage analysis; content-based video retrieval;
Subjects:Computer Science > Multimedia systems
Computer Science > Digital video
Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Research Initiatives and Centres > Adaptive Information Cluster (AIC)
Publisher:Association for Computing Machinery
Official URL:http://doi.acm.org/10.1145/1148020.1148021
Copyright Information:© ACM, 2006. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution.
Funders:Enterprise Ireland, Science Foundation Ireland, SFI 03/IN.3/I361
ID Code:211
Deposited On:04 Mar 2008 by DORAS Administrator. Last Modified 05 May 2010 14:16

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