2006
DOI: 10.1016/j.ipm.2005.10.001
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The influence of task and gender on search and evaluation behavior using Google

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Cited by 213 publications
(166 citation statements)
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“…Lorigo, Pan, Hembrooke, Joachims, Granka, and Gay (2006) demonstrate that new methods of collecting information about the search process can uncover important aspects of how people search. Methods such as eye-tracking can uncover patterns of information assessment previously possible only through log analysis or verbal reporting.…”
Section: Implicit Evidence and Indicators Of Interestmentioning
confidence: 98%
See 1 more Smart Citation
“…Lorigo, Pan, Hembrooke, Joachims, Granka, and Gay (2006) demonstrate that new methods of collecting information about the search process can uncover important aspects of how people search. Methods such as eye-tracking can uncover patterns of information assessment previously possible only through log analysis or verbal reporting.…”
Section: Implicit Evidence and Indicators Of Interestmentioning
confidence: 98%
“…Novel elicitation methods such as eyetracking allow us to learn more about how people use such surrogates in searching. Lorigo et al (2006) indicate that, in more than half of the Web searches they investigated, users reformulate queries based on scanning the surrogates without examining any pages and that navigational (Web site-finding) queries are often answered by surrogates alone. Surrogates can be useful in these cases if searchers are willing to accept occasional false hits.…”
Section: Surrogatesmentioning
confidence: 99%
“…Therefore, it is important to report such characteristics, even if they are not independent variables, and carefully consider how they might impact the study results. Morahan-Martin [198] reviews research related to sex differences and internet usage, while Ford et al [100] and Lorigo et al [185] investigate sex differences related to information search. Ford et al [99] investigate internet perceptions and cognitive complexity as additional ways to measure individual differences.…”
Section: Individual Differencesmentioning
confidence: 99%
“…Several factors have been identified to contribute to the user satisfaction typically, experience (NavarroPrieto Scaife et al, 1999;Ward and Lee, 1999;Liaw and Huang, 2006;Aula and Nordhausen, 2006), domain knowledge (Hirsh, 1995), gender (Steinerova and Susol, 2007;Large et al, 2000;Lorigo et al, 2006) and cognitive process.…”
Section: Determinants Of User Search Satisfactionmentioning
confidence: 99%