Evaluating WordBars in exploratory Web search scenarios

  • Authors:

  • Orland Hoeber;Xue Dong Yang

  • Affiliations:

  • Department of Computer Science, University of Regina, 3737 Wascana Parkway, Regina, Canada SK S4S 0A2;Department of Computer Science, University of Regina, 3737 Wascana Parkway, Regina, Canada SK S4S 0A2

  • Venue:
  • Information Processing and Management: an International Journal
  • Year:
  • 2008

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Abstract

Web searchers commonly have difficulties crafting queries to fulfill their information needs; even after they are able to craft a query, they often find it challenging to evaluate the results of their Web searches. Sources of these problems include the lack of support for constructing and refining queries, and the static nature of the list-based representations of Web search results. WordBars has been developed to assist users in their Web search and exploration tasks. This system provides a visual representation of the frequencies of the terms found in the first 100 document surrogates returned from an initial query, in the form of a histogram. Exploration of the search results is supported through term selection in the histogram, resulting in a re-sorting of the search results based on the use of the selected terms in the document surrogates. Terms from the histogram can be easily added or removed from the query, generating a new set of search results. Examples illustrate how WordBars can provide valuable support for query refinement and search results exploration, both when vague and specific initial queries are provided. User evaluations with both expert and intermediate Web searchers illustrate the benefits of the interactive exploration features of WordBars in terms of effectiveness as well as subjective measures. Although differences were found in the demographics of these two user groups, both were able to benefit from the features of WordBars.