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An Explorative Study of Interface Support for Image Searching

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Adaptive Multimedia Retrieval: User, Context, and Feedback (AMR 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3877))

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Abstract

In this paper we study interfaces for image retrieval systems. Current image retrieval interfaces are limited to providing query facilities and result presentation. The user can inspect the results and possibly provide feedback on their relevance for the current query. Our approach, in contrast, encourages the user to group and organise their search results and thus provide more fine-grained feedback for the system. It combines the search and management process, which – according to our hypothesis – helps the user to conceptualise their search tasks and to overcome the query formulation problem. An evaluation, involving young design-professionals and different types of information seeking scenarios, shows that the proposed approach succeeds in encouraging the user to conceptualise their tasks and that it leads to increased user satisfaction. However, it could not be shown to increase performance. We identify the problems in the current setup, which when eliminated should lead to more effective searching overall.

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Urban, J., Jose, J.M. (2006). An Explorative Study of Interface Support for Image Searching. In: Detyniecki, M., Jose, J.M., Nürnberger, A., van Rijsbergen, C.J. (eds) Adaptive Multimedia Retrieval: User, Context, and Feedback. AMR 2005. Lecture Notes in Computer Science, vol 3877. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11670834_17

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  • DOI: https://doi.org/10.1007/11670834_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-32174-3

  • Online ISBN: 978-3-540-32175-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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