Development of an instrument measuring user satisfaction of the human-computer interface
CHI '88 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Deriving concept hierarchies from text
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Measuring usability: are effectiveness, efficiency, and satisfaction really correlated?
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Journal of the American Society for Information Science and Technology
Which user interaction for cross-language information retrieval? Design issues and reflections
Journal of the American Society for Information Science and Technology
Selection and merging strategies for multilingual information retrieval
CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
On the role of user-centred evaluation in the advancement of interactive information retrieval
Information Processing and Management: an International Journal
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This paper describes our results from the image retrieval task of iCLEF 2005 based on a comparative user evaluation of two interfaces: one displaying search results as a list; the other organising retrieved images into a hierarchy of concepts displayed on the interface as an interactive menu. Based on a known-item retrieval task, data was analysed with respect to effectiveness, efficiency and user satisfaction. Effectiveness and efficiency were calculated at both the set cut-off time of 5 minutes, and the time after finding the target image (final time). Results showed the list was marginally more effective than the menu at 5 minutes, but the two were equal at final time indicating the menu requires more time to be used effectively. The list was more efficient at both 5 minutes and final time (difference not statistically significant) and users preferred using the menu indicating this could be a potentially interesting and engaging feature for image retrieval.