標題: Thinking style impacts on Web search strategies
作者: Kao, Gloria Yi-Ming
Lei, Pei-Lan
Sun, Chuen-Tsai
資訊工程學系
Department of Computer Science
關鍵字: thinking styles;search strategies;information seeking;human factors;search interface design
公開日期: 1-七月-2008
摘要: Web 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.
URI: http://dx.doi.org/10.1016/j.chb.2007.07.009
http://hdl.handle.net/11536/14225
ISSN: 0747-5632
DOI: 10.1016/j.chb.2007.07.009
期刊: COMPUTERS IN HUMAN BEHAVIOR
Volume: 24
Issue: 4
起始頁: 1330
結束頁: 1341
顯示於類別:期刊論文


文件中的檔案:

  1. 000256133300003.pdf