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Bridging the gap between expert and novice users for video search

Bridging the gap between expert and novice users for video search Contemporary video retrieval systems are wanting in terms of helping users find appropriate videos. There are a number of reasons for this, including a lack of appropriate representations for video and the semantic gap. These problems are amplified by the fact that the importance of expertise for effective video search is not well understood. In an attempt to garner a greater understanding of the impact of expertise on video search, a user evaluation that is designed to investigate the role of expertise in video search was conducted. In our evaluation participants were given a number of video search tasks and were asked to find relevant videos using two different interfaces: the first interface required users to use background knowledge to find relevant videos and the second interface allowed users to use video search tools to complete the task. Three groups of users with varying search expertise carried out these video search tasks, with the objective that the behaviour and success of the different user groups could be examined. It was discovered that the behaviour of novice users begins to emulate that of the expert users as the novice users gain more expertise. However, it was also found that the perceptions of novice users, even with additional background knowledge, of the tools, collection and performance do not always match that of the expert users. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Multimedia Information Retrieval Springer Journals

Bridging the gap between expert and novice users for video search

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References (12)

Publisher
Springer Journals
Copyright
Copyright © 2012 by Springer-Verlag London Limited
Subject
Computer Science; Image Processing and Computer Vision; Multimedia Information Systems; Computer Science, general; Data Mining and Knowledge Discovery; Information Systems Applications (incl. Internet); Information Storage and Retrieval
ISSN
2192-6611
eISSN
2192-662X
DOI
10.1007/s13735-012-0007-3
Publisher site
See Article on Publisher Site

Abstract

Contemporary video retrieval systems are wanting in terms of helping users find appropriate videos. There are a number of reasons for this, including a lack of appropriate representations for video and the semantic gap. These problems are amplified by the fact that the importance of expertise for effective video search is not well understood. In an attempt to garner a greater understanding of the impact of expertise on video search, a user evaluation that is designed to investigate the role of expertise in video search was conducted. In our evaluation participants were given a number of video search tasks and were asked to find relevant videos using two different interfaces: the first interface required users to use background knowledge to find relevant videos and the second interface allowed users to use video search tools to complete the task. Three groups of users with varying search expertise carried out these video search tasks, with the objective that the behaviour and success of the different user groups could be examined. It was discovered that the behaviour of novice users begins to emulate that of the expert users as the novice users gain more expertise. However, it was also found that the perceptions of novice users, even with additional background knowledge, of the tools, collection and performance do not always match that of the expert users.

Journal

International Journal of Multimedia Information RetrievalSpringer Journals

Published: Mar 7, 2012

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