Search (74 results, page 4 of 4)

  • × theme_ss:"Benutzerstudien"
  1. Cole, C.; Beheshti, J.; Abuhimed, D.; Lamoureux, I.: ¬The end game in Kuhlthau's ISP Model : knowledge construction for grade 8 students researching an inquiry-based history project (2015) 0.01
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  2. 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.
  3. 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
  4. Wildemuth, B.M.: Effective methods for studying information seeking and use : Introduction and overview (2002) 0.01
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    Date
    20. 1.2003 9:37:22
  5. Aula, A.; Nordhausen, K.: Modeling successful performance in Web searching (2006) 0.01
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    Abstract
    Several previous studies have measured differences in the information search success of novices and experts. However, the definitions of novices and experts have varied greatly between the studies, and so have the measures used for search success. Instead of dividing the searchers into different groups based on their expertise, we chose to model search success with task completion speed, TCS. Towards this goal, 22 participants performed three fact-finding tasks and two broader tasks in an observational user study. In our model, there were two variables related to the Web experience of the participants. Other variables included, for example, the speed of query iteration, the length of the queries, the proportion of precise queries, and the speed of evaluating result documents. Our results showed that the variables related to Web experience had expected effects on TCS. The increase in the years of Web use was related to improvement in TCS in the broader tasks, whereas the less frequent Web use was related to a decrease in TCS in the fact-finding tasks. Other variables having significant effects on TCS in either of the task types were the speed of composing queries, the average number of query terms per query, the proportion of precise queries, and the participants' own evaluation of their search skills. In addition to the statistical models, we present several qualitative findings of the participants' search strategies. These results give valuable insight into the successful strategies in Web search beyond the previous knowledge of the expert-novice differences.
  6. Shiri, A.A.; Revie, C.: Query expansion behavior within a thesaurus-enhanced search environment : a user-centered evaluation (2006) 0.01
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    Date
    22. 7.2006 16:32:43
  7. Westman, S.; Laine-Hernandez, M.; Oittinen, P.: Development and evaluation of a multifaceted magazine image categorization model (2011) 0.01
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    Date
    22. 1.2011 14:09:26
  8. Mizrachi, D.; Bates, M.J.: Undergraduates' personal academic information management and the consideration of time and task-urgency (2013) 0.01
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    Abstract
    Young undergraduate college students are often described as "digital natives," presumed to prefer living and working in completely digital information environments. In reality, their world is part-paper/part-digital, in constant transition among successive forms of digital storage and communication devices. Studying for a degree is the daily work of these young people, and effective management of paper and digital academic materials and resources contributes crucially to their success in life. Students must also constantly manage their work against deadlines to meet their course and university requirements. This study, following the "Personal Information Management" (PIM) paradigm, examines student academic information management under these various constraints and pressures. A total of 41 18- to 22-year-old students were interviewed and observed regarding the content, structure, and uses of their immediate working environment within their dormitory rooms. Students exhibited remarkable creativity and variety in the mixture of automated and manual resources and devices used to support their academic work. The demands of a yearlong procession of assignments, papers, projects, and examinations increase the importance of time management activities and influence much of their behavior. Results provide insights on student use of various kinds of information technology and their overall planning and management of information associated with their studies.
  9. 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
  10. Beaudoin, J.E.: Content-based image retrieval methods and professional image users (2016) 0.01
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    Date
    22. 1.2016 12:32:25
  11. 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
  12. 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
  13. Borgman, C.L.; Smart, L.J.; Millwood, K.A.; Finley, J.R.; Champeny, L.; Gilliland, A.J.; Leazer, G.H.: Comparing faculty information seeking in teaching and research : implications for the design of digital libraries (2005) 0.01
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    Date
    3. 6.2005 20:40:22
  14. Griesbaum, J.; Mahrholz, N.; Kiedrowski, K. von Löwe; Rittberger, M.: Knowledge generation in online forums : a case study in the German educational domain (2015) 0.01
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    Date
    20. 1.2015 18:30:22

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