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Web Search with Visual Clues: A User Study

Ravee Malla, Monojit Choudhury, and Kalika Bali

Abstract

We present a user study where subjects are asked to solve fact-finding search tasks, where a visual clue is provided in addition to text. Search tasks with visual clues are often encountered in real life, for example when we come across an object, such as a ower or a landmark, that we would like to know more about. Our study reveals that these tasks are much harder to solve than the text-based ones, and users employ very different strategies for solving them. Furthermore, even though image search is extensively used to solve visual search tasks, there are several features that an ideal image search engine must possess before it can be effectively used for solving such tasks.

Details

Publication typeInproceedings
Published inProceedings of the Fifth Workshop on Human-Computer Interaction and Information Retrieval (HCIR 2011)
URLhttps://docs.google.com/a/kent.edu/viewer?a=v&pid=sites&srcid=ZGVmYXVsdGRvbWFpbnxoY2lyd29ya3Nob3B8Z3g6MjdiMzE3ZTNmZGJjNjg3YQ
PublisherHCIR
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