Search (50 results, page 1 of 3)

  • × language_ss:"e"
  • × theme_ss:"Benutzerstudien"
  • × year_i:[2010 TO 2020}
  1. Mizrachi, D.; Bates, M.J.: Undergraduates' personal academic information management and the consideration of time and task-urgency (2013) 0.06
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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.
    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.8, S.1590-1607
  2. 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) 0.02
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    Date
    25. 1.2016 18:46:22
    Source
    Information processing and management. 51(2015) no.5, S.557-569
  3. Bergman, O.; Gradovitch, N.; Bar-Ilan, J.; Beyth-Marom, R.: Folder versus tag preference in personal information management (2013) 0.02
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    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.10, S.1995-2012
  4. Cleverley, P.H.; Burnett, S.; Muir, L.: Exploratory information searching in the enterprise : a study of user satisfaction and task performance (2017) 0.02
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    Abstract
    No prior research has been identified that investigates the causal factors for workplace exploratory search task performance. The impact of user, task, and environmental factors on user satisfaction and task performance was investigated through a mixed methods study with 26 experienced information professionals using enterprise search in an oil and gas enterprise. Some participants found 75% of high-value items, others found none, with an average of 27%. No association was found between self-reported search expertise and task performance, with a tendency for many participants to overestimate their search expertise. Successful searchers may have more accurate mental models of both search systems and the information space. Organizations may not have effective exploratory search task performance feedback loops, a lack of learning. This may be caused by management bias towards technology, not capability, a lack of systems thinking. Furthermore, organizations may not "know" they "don't know" their true level of search expertise, a lack of knowing. A metamodel is presented identifying the causal factors for workplace exploratory search task performance. Semistructured qualitative interviews with search staff from the defense, pharmaceutical, and aerospace sectors indicates the potential transferability of the finding that organizations may not know their search expertise levels.
    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.1, S.62-76
  5. Vuong, T.; Saastamoinen, M.; Jacucci, G.; Ruotsalo, T.: Understanding user behavior in naturalistic information search tasks (2019) 0.02
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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.
    Source
    Journal of the Association for Information Science and Technology. 70(2019) no.11, S.1248-1261
  6. Griesbaum, J.; Mahrholz, N.; Kiedrowski, K. von Löwe; Rittberger, M.: Knowledge generation in online forums : a case study in the German educational domain (2015) 0.02
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    Date
    20. 1.2015 18:30:22
    Source
    Aslib journal of information management. 67(2015) no.1, S.2-26
  7. Okoli, C.; Mehdi, M.; Mesgari, M.; Nielsen, F.A.; Lanamäki, A.: Wikipedia in the eyes of its beholders : a systematic review of scholarly research on Wikipedia readers and readership (2014) 0.02
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    Date
    18.11.2014 13:22:03
    Series
    Advances in information science
    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.12, S.2381-2403
  8. 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
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.2, S.295-313
  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
    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.1, S.13-24
  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
    Source
    Journal of the Association for Information Science and Technology. 67(2016) no.2, S.350-365
  11. Borlund, P.; Dreier, S.: ¬An investigation of the search behaviour associated with Ingwersen's three types of information needs (2014) 0.01
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    Source
    Information processing and management. 50(2014) no.4, S.493-507
  12. Niu, X.; Hemminger, B.M.: ¬A study of factors that affect the information-seeking behavior of academic scientists (2012) 0.00
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    Abstract
    In an effort to understand how academic scientists seek information relevant to their research in today's environment of ubiquitous electronic access, a correlation framework is built and regression analysis is applied to the survey results from 2,063 academic researchers in natural science, engineering, and medical science at five research universities in the United States. Previous work has reported descriptive statistics about these scientists' information-seeking behavior. This study extends that work to examine relationships between scientists' information-seeking behaviors and their personal and environmental factors. Several regression models, including the Poisson model, the logit model, and the ordered logit model, are built to interpret the correlation among scientists' behaviors. In addition, exploratory factor analysis is used for data reduction. Overall, many factors were found to affect the specific information-seeking behaviors of scientists, including demographic, psychological, role-related, and environmental factors. Of the factors having an effect, academic position was the most important determinant of information behavior.
    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.2, S.336-353
  13. Gregory, K.; Groth, P.; Cousijn, H.; Scharnhorst, A.; Wyatt, S.: Searching data : a review of observational data retrieval practices in selected disciplines (2019) 0.00
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    Abstract
    A cross-disciplinary examination of the user behaviors involved in seeking and evaluating data is surprisingly absent from the research data discussion. This review explores the data retrieval literature to identify commonalities in how users search for and evaluate observational research data in selected disciplines. Two analytical frameworks, rooted in information retrieval and science and technology studies, are used to identify key similarities in practices as a first step toward developing a model describing data retrieval.
    Source
    Journal of the Association for Information Science and Technology. 70(2019) no.5, S.419-432
  14. Gwizdka, J.: Distribution of cognitive load in Web search (2010) 0.00
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    Abstract
    The search task and the system both affect the demand on cognitive resources during information search. In some situations the demands may become too high for a person. This article has a three-fold goal. First, it presents and critiques methods to measure cognitive load. Second, it explores the distribution of load across search task stages. Finally, it seeks to improve our understanding of factors affecting cognitive load levels in information search. To this end, a controlled Web search experiment with 48 participants was conducted. Interaction logs were used to segment search tasks semiautomatically into task stages. Cognitive load was assessed using a new variant of the dual-task method. Average cognitive load was found to vary by search task stages. It was significantly higher during query formulation and user description of a relevant document as compared to examining search results and viewing individual documents. Semantic information shown next to the search results lists in one of the studied interfaces was found to decrease mental demands during query formulation and examination of the search results list. These findings demonstrate that changes in dynamic cognitive load can be detected within search tasks. Dynamic assessment of cognitive load is of core interest to information science because it enriches our understanding of cognitive demands imposed on people engaged in the search process by a task and the interactive information retrieval system employed.
    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.11, S.2167-2187
  15. Wu, Y.; Liu, Y.; Tsai, Y.-H.R.; Yau, S.-T.: Investigating the role of eye movements and physiological signals in search satisfaction prediction using geometric analysis (2019) 0.00
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    Footnote
    Beitrag in einem 'Special issue on neuro-information science'.
    Source
    Journal of the Association for Information Science and Technology. 70(2019) no.9, S.981-999
  16. Wilson, V.: Catalog users "in the wild" : the potential of an ethnographic approach to studies of library catalogs and their users (2015) 0.00
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    Abstract
    An increasing number of library user studies are employing ethnographic techniques as an alternative to more traditional qualitative methods such as surveys. Such techniques, however, are only beginning to see significant application to catalog user studies. Beginning with a discussion of the applied ethnographic method and its current usage within the field of Library and Information Science research, this article will assess methods that have traditionally been applied to studies of catalog users and present the case for the potential of an ethnographic approach for future catalog evaluation and design.
  17. Lewandowski, D.; Kerkmann, F.; Rümmele, S.; Sünkler, S.: ¬An empirical investigation on search engine ad disclosure (2018) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 69(2018) no.3, S.420-437
  18. Choi, Y.: Effects of contextual factors on image searching on the Web (2010) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.10, S.2011-2028
  19. Waller, V.: Not just information : who searches for what on the search engine Google? (2011) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.4, S.761-775
  20. Foss, E.; Druin, A.; Brewer, R.; Lo, P.; Sanchez, L.; Golub, E.; Hutchinson, H.: Children's search roles at home : implications for designers, researchers, educators, and parents (2012) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.3, S.558-573