Search (14 results, page 1 of 1)

Branch, J.L.: Investigating the information-seeking process of adolescents : the value of using think alouds and think afters (2000) 0.02

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Source: Library and information science research. 22(2000) no.4, S.371-382

Cothey, V.: ¬A longitudinal study of World Wide Web users' information-searching behavior (2002) 0.01

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Date: 7. 2.2002 19:32:37

Lee, H.-L.: Navigating hierarchies vs. searching by keyword : two cultural perspectives (2006) 0.01

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Source: Knowledge organization for a global learning society: Proceedings of the 9th International ISKO Conference, 4-7 July 2006, Vienna, Austria. Hrsg.: G. Budin, C. Swertz u. K. Mitgutsch

Ford, N.; Miller, D.; Moss, N.: Web search strategies and human individual differences : cognitive and demographic factors, Internet attitudes, and approaches (2005) 0.01

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Source: Journal of the American Society for Information Science and Technology. 56(2005) no.7, S.741-756

Ford, N.; Miller, D.; Moss, N.: Web search strategies and human individual differences : a combined analysis (2005) 0.01

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Source: Journal of the American Society for Information Science and Technology. 56(2005) no.7, S.757-764

Jansen, B.J.; Booth, D.L.; Spink, A.: Patterns of query reformulation during Web searching (2009) 0.01

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Source: Journal of the American Society for Information Science and Technology. 60(2009) no.7, S.1358-1371

Foss, E.; Druin, A.; Yip, J.; Ford, W.; Golub, E.; Hutchinson, H.: Adolescent search roles (2013) 0.01
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Abstract

In this article, we present an in-home observation and in-context research study investigating how 38 adolescents aged 14-17 search on the Internet. We present the search trends adolescents display and develop a framework of search roles that these trends help define. We compare these trends and roles to similar trends and roles found in prior work with children ages 7, 9, and 11. We use these comparisons to make recommendations to adult stakeholders such as researchers, designers, and information literacy educators about the best ways to design search tools for children and adolescents, as well as how to use the framework of searching roles to find better methods of educating youth searchers. Major findings include the seven roles of adolescent searchers, and evidence that adolescents are social in their computer use, have a greater knowledge of sources than younger children, and that adolescents are less frustrated by searching tasks than younger children.

Byström, K.: Information seekers in context : an analysis of the 'doer' in INSU studies (1999) 0.01

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Date: 22. 3.2002 9:55:52

Aloteibi, S.; Sanderson, M.: Analyzing geographic query reformulation : an exploratory study (2014) 0.01

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Date: 26. 1.2014 18:48:22

Monchaux, S.; Amadieu, F.; Chevalier, A.; Mariné, C.: Query strategies during information searching : effects of prior domain knowledge and complexity of the information problems to be solved (2015) 0.01

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Date: 25. 1.2016 18:46:22

Lucas, W.; Topi, H.: Form and function : the impact of query term and operator usage on Web search results (2002) 0.01

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Date: 7. 2.2002 19:37:32

Kellar, M.; Watters, C.; Shepherd, M.: ¬A field study characterizing Web-based information seeking tasks (2007) 0.01

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Source: Journal of the American Society for Information Science and Technology. 58(2007) no.7, S.999-1018

Vuong, T.; Saastamoinen, M.; Jacucci, G.; Ruotsalo, T.: Understanding user behavior in naturalistic information search tasks (2019) 0.01
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Abstract

Understanding users' search behavior has largely relied on the information available from search engine logs, which provide limited information about the contextual factors affecting users' behavior. Consequently, questions such as how users' intentions, task goals, and substances of the users' tasks affect search behavior, as well as what triggers information needs, remain largely unanswered. We report an experiment in which naturalistic information search behavior was captured by analyzing 24/7 continuous recordings of information on participants' computer screens. Written task diaries describing the participants' tasks were collected and used as real-life task contexts for further categorization. All search tasks were extracted and classified under various task categories according to users' intentions, task goals, and substances of the tasks. We investigated the effect of different task categories on three behavioral factors: search efforts, content-triggers, and application context. Our results suggest four findings: (i) Search activity is integrally associated with the users' creative processes. The content users have seen prior to searching more often triggers search, and is used as a query, within creative tasks. (ii) Searching within intellectual and creative tasks is more time-intensive, while search activity occurring as a part of daily routine tasks is associated with more frequent searching within a search task. (iii) Searching is more often induced from utility applications in tasks demanding a degree of intellectual effort. (iv) Users' leisure information-seeking activity is occurring inherently within social media services or comes from social communication platforms. The implications of our findings for information access and management systems are discussed.

Ennis, M.; Sutcliffe, A.G.; Watkinson, S.J.: Towards a predictive model of information seeking : empirical studies of end-user-searching (1999) 0.01

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Date: 22. 3.2002 9:54:13

Search (14 results, page 1 of 1)

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