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dc.contributor.authorKao, Gloria Yi-Mingen_US
dc.contributor.authorLei, Pei-Lanen_US
dc.contributor.authorSun, Chuen-Tsaien_US
dc.date.accessioned2014-12-08T15:20:04Z-
dc.date.available2014-12-08T15:20:04Z-
dc.date.issued2008-07-01en_US
dc.identifier.issn0747-5632en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.chb.2007.07.009en_US
dc.identifier.urihttp://hdl.handle.net/11536/14225-
dc.description.abstractWeb searches entail complex cognitive processes influenced by individual differences, and users with similar cognitive or skill factors tend to develop multiple search strategies. The authors analyze such strategies in terms of level of thinking style (global versus local), search targets, and six search behavior indicators and report (a) a significant relationship between different thinking style levels and individual search target types and (b) that different thinking style level conditions can cause significant differences in search behavior performance regarding maximum depth of exploration, revisited pages, and Web pages visited for refining answers. The findings suggest that high global style users tend to disperse their targets to comprehend the search task while high local style users elaborate on a few specific topics. Furthermore, high global style users skim more, require less explicit answers, and are less likely to explore an issue in depth compared to high local style or bi-high style individuals. The results confirm that thinking style level is an important factor affecting search intention. To improve search experiences, search engine designers should incorporate human factors into their products so as to take advantage of personal learning approaches. (C) 2007 Elsevier Ltd. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectthinking stylesen_US
dc.subjectsearch strategiesen_US
dc.subjectinformation seekingen_US
dc.subjecthuman factorsen_US
dc.subjectsearch interface designen_US
dc.titleThinking style impacts on Web search strategiesen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.chb.2007.07.009en_US
dc.identifier.journalCOMPUTERS IN HUMAN BEHAVIORen_US
dc.citation.volume24en_US
dc.citation.issue4en_US
dc.citation.spage1330en_US
dc.citation.epage1341en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000256133300003-
dc.citation.woscount7-
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