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Image-based evaluation of video-acquired research skills
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Source International Conference on Digital Libraries archive
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries table of contents
Chapel Hill, NC, USA
SESSION: Images and sound table of contents
Pages: 200 - 201  
Year of Publication: 2006
ISBN:1-59593-354-9
Authors
Unmil P. Karadkar  Texas A&M University, College Station, TX
Marlo Nordt  Texas A&M University, College Station, TX
Richard Furuta  Texas A&M University, College Station, TX
Cody Lee  Texas A&M University, College Station, TX
Christopher Quick  Texas A&M University, College Station, TX
Sponsors
ACM: Association for Computing Machinery
SIGIR: ACM Special Interest Group on Information Retrieval
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
Publisher
ACM  New York, NY, USA
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ABSTRACT

We are exploring the use of image interfaces for testing video-acquired research skills. We studied user performance on three testing image layouts that differ in their use of the available display real estate and in the flexibility of managing the time available to them. Our results confirm that image layout affects user performance on particular tasks and that experts use different strategies from novices. These alternative layouts will be useful for viewing and understanding digital image collections.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Google Image Search, http://images.google.com/ (accessed January 2006)
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Collaborative Colleagues:
Unmil P. Karadkar: colleagues
Marlo Nordt: colleagues
Richard Furuta: colleagues
Cody Lee: colleagues
Christopher Quick: colleagues