Search (7 results, page 1 of 1)

Toms, E.G.; Freund, L.; Li, C.: WilRE: the Web Interactive information retrieval experimentation system prototype (2004) 0.02
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Abstract

We introduce WiIRE, a prototype system for conducting interactive information retrieval (IIR) experiments via the Internet. We conceived Wi IRE to increase validity while streamlining procedures and adding efficiencies to the conduct of IIR experiments. The system incorporates password-controlled access, online questionnaires, study instructions and tutorials, conditional interface assignment, and conditional query assignment as well as provision for data collection. As an initial evaluation, we used WiIRE inhouse to conduct a Web-based IIR experiment using an external search engine with customized search interfaces and the TREC 11 Interactive Track search queries. Our evaluation of the prototype indicated significant cost efficiencies in the conduct of IIR studies, and additionally had some novel findings about the human perspective: about half participants would have preferred some personal contact with the researcher, and participants spent a significantly decreasing amount of time on tasks over the course of a session.
Toms, E.G.; Taves, A.R.: Measuring user perceptions of Web site reputation (2004) 0.01
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Abstract

In this study, we compare a search tool, TOPIC, with three other widely used tools that retrieve information from the Web: AltaVista, Google, and Lycos. These tools use different techniques for outputting and ranking Web sites: external link structure (TOPIC and Google) and semantic content analysis (AltaVista and Lycos). TOPIC purports to output, and highly rank within its hit list, reputable Web sites for searched topics. In this study, 80 participants reviewed the output (i.e., highly ranked sites) from each tool and assessed the quality of retrieved sites. The 4800 individual assessments of 240 sites that represent 12 topics indicated that Google tends to identify and highly rank significantly more reputable Web sites than TOPIC, which, in turn, outputs more than AltaVista and Lycos, but this was not consistent from topic to topic. Metrics derived from reputation research were used in the assessment and a factor analysis was employed to identify a key factor, which we call 'repute'. The results of this research include insight into the factors that Web users consider in formulating perceptions of Web site reputation, and insight into which search tools are outputting reputable sites for Web users. Our findings, we believe, have implications for Web users and suggest the need for future research to assess the relationship between Web page characteristics and their perceived reputation.

Bartlett, J.C.; Toms, E.G.: Developing a protocol for bioinformatics analysis : an integrated information behavior and task analysis approach (2005) 0.01

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Date: 22. 7.2006 14:28:55

O'Brien, H.L.; Toms, E.G.: What is user engagement? : a conceptual framework for defining user engagement with technology (2008) 0.01

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Date: 21. 3.2008 13:39:22

Dufour, C.; Bartlett, J.C.; Toms, E.G.: Understanding how webcasts are used as sources of information (2011) 0.01

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Date: 22. 1.2011 14:16:14

Wildemuth, B.; Freund, L.; Toms, E.G.: Untangling search task complexity and difficulty in the context of interactive information retrieval studies (2014) 0.01

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Date: 6. 4.2015 19:31:22

Toms, E.G.: What motivates the browser? (1999) 0.00

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Date: 22. 3.2002 9:44:47

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