Search (7 results, page 1 of 1)

  • × author_ss:"Toms, E.G."
  1. Freund, L.; Toms, E.G.: Interacting with archival finding aids (2016) 0.03 
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    Abstract
    This research aimed to gain a detailed understanding of how genealogists and historians interact with, and make use of, finding aids in print and digital form. The study uses the lens of human information interaction to investigate finding aid use. Data were collected through a lab-based study of 32 experienced archives' users who completed two tasks with each of two finding aids. Participants were able to carry out the tasks, but they were somewhat challenged by the structure of the finding aid and employed various techniques to cope. Their patterns of interaction differed by task type and they reported higher rates of satisfaction, ease of use, and clarity for the assessment task than the known-item task. Four common patterns of interaction were identified: top-down, bottom-up, interrogative, and opportunistic. Results show how users interact with findings aids and identify features that support and hinder use. This research examines process and performance in addition to outcomes. Results contribute to the archival science literature and also suggest ways to extend models of human information interaction.
  2. Toms, E.G.; Taves, A.R.: Measuring user perceptions of Web site reputation (2004) 0.02 
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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.
  3. 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
  4. 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
  5. 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
  6. 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
  7. Toms, E.G.: What motivates the browser? (1999) 0.01 
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    Date
    22. 3.2002 9:44:47

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