Search (60 results, page 2 of 3)

  • × theme_ss:"Benutzerstudien"
  • × year_i:[2010 TO 2020}
  1. Shiri, A.: Revealing interdisciplinarity in nanoscience and technology queries : a transaction log analysis approach (2011) 0.00
    0.003743066 = product of:
      0.0112291975 = sum of:
        0.0112291975 = product of:
          0.022458395 = sum of:
            0.022458395 = weight(_text_:of in 4563) [ClassicSimilarity], result of:
              0.022458395 = score(doc=4563,freq=20.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.32781258 = fieldWeight in 4563, product of:
                  4.472136 = tf(freq=20.0), with freq of:
                    20.0 = termFreq=20.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.046875 = fieldNorm(doc=4563)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    The study reported here investigated the search behaviour patterns of nanoscience and nanotechnology searchers as revealed by transaction log analysis of the NANOnetBASE electronic book digital library. This paper examines the patterns and strategies of nano searchers' query formulation and reformulation, then explores the extent of interdisciplinarity in search queries using the INSPEC and Compendex thesauri. The results show certain query formulation patterns associated with searching in an emerging and interdisciplinary area of nanotechnology such as: the use of multiword and compound query terms, extensive use of search terms beginning with the prefix "nano," hyphenated terms, spelling variations, a large number of query reformulations, and the use of acronyms. The results also indicate that 62% of the unique top terms resulting from mapping users' query terms to the INSPEC Classification codes represented two or more disciplines, specifically terms associated with the Classification code "A" representing "physics." The results have implications for information organization and representation, user interface design and federated searching in digital libraries and multi-subject databases.
  2. Kules, B.; Capra, R.: Influence of training and stage of search on gaze behavior in a library catalog faceted search interface (2012) 0.00
    0.0036907129 = product of:
      0.011072138 = sum of:
        0.011072138 = product of:
          0.022144277 = sum of:
            0.022144277 = weight(_text_:of in 4129) [ClassicSimilarity], result of:
              0.022144277 = score(doc=4129,freq=28.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.32322758 = fieldWeight in 4129, product of:
                  5.2915025 = tf(freq=28.0), with freq of:
                    28.0 = termFreq=28.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=4129)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    This study examined how searchers interact with a web-based, faceted library catalog when conducting exploratory searches. It applied multiple methods, including eye tracking and stimulated recall interviews, to investigate important aspects of faceted search interface use, specifically: (a) searcher gaze behavior-what components of the interface searchers look at; (b) how gaze behavior differs when training is and is not provided; (c) how gaze behavior changes as searchers become familiar with the interface; and (d) how gaze behavior differs depending on the stage of the search process. The results confirm previous findings that facets account for approximately 10-30% of interface use. They show that providing a 60-second video demonstration increased searcher use of facets. However, searcher use of the facets did not evolve during the study session, which suggests that searchers may not, on their own, rapidly apply the faceted interfaces. The findings also suggest that searcher use of interface elements varied by the stage of their search during the session, with higher use of facets during decision-making stages. These findings will be of interest to librarians and interface designers who wish to maximize the value of faceted searching for patrons, as well as to researchers who study search behavior.
    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.1, S.114-138
  3. Wilson, V.: Catalog users "in the wild" : the potential of an ethnographic approach to studies of library catalogs and their users (2015) 0.00
    0.0036536194 = product of:
      0.010960858 = sum of:
        0.010960858 = product of:
          0.021921717 = sum of:
            0.021921717 = weight(_text_:of in 2016) [ClassicSimilarity], result of:
              0.021921717 = score(doc=2016,freq=14.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.31997898 = fieldWeight in 2016, product of:
                  3.7416575 = tf(freq=14.0), with freq of:
                    14.0 = termFreq=14.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=2016)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    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.
  4. O'Brien, H.L.; Toms, E.G.: ¬The development and evaluation of a survey to measure user engagement (2010) 0.00
    0.00355646 = product of:
      0.0106693795 = sum of:
        0.0106693795 = product of:
          0.021338759 = sum of:
            0.021338759 = weight(_text_:of in 3312) [ClassicSimilarity], result of:
              0.021338759 = score(doc=3312,freq=26.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.31146988 = fieldWeight in 3312, product of:
                  5.0990195 = tf(freq=26.0), with freq of:
                    26.0 = termFreq=26.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=3312)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    Facilitating engaging user experiences is essential in the design of interactive systems. To accomplish this, it is necessary to understand the composition of this construct and how to evaluate it. Building on previous work that posited a theory of engagement and identified a core set of attributes that operationalized this construct, we constructed and evaluated a multidimensional scale to measure user engagement. In this paper we describe the development of the scale, as well as two large-scale studies (N=440 and N=802) that were undertaken to assess its reliability and validity in online shopping environments. In the first we used Reliability Analysis and Exploratory Factor Analysis to identify six attributes of engagement: Perceived Usability, Aesthetics, Focused Attention, Felt Involvement, Novelty, and Endurability. In the second we tested the validity of and relationships among those attributes using Structural Equation Modeling. The result of this research is a multidimensional scale that may be used to test the engagement of software applications. In addition, findings indicate that attributes of engagement are highly intertwined, a complex interplay of user-system interaction variables. Notably, Perceived Usability played a mediating role in the relationship between Endurability and Novelty, Aesthetics, Felt Involvement, and Focused Attention.
    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.1, S.50-69
  5. Huurnink, B.; Hollink, L.; Heuvel, W. van den; Rijke, M. de: Search behavior of media professionals at an audiovisual archive : a transaction log analysis (2010) 0.00
    0.00355646 = product of:
      0.0106693795 = sum of:
        0.0106693795 = product of:
          0.021338759 = sum of:
            0.021338759 = weight(_text_:of in 3468) [ClassicSimilarity], result of:
              0.021338759 = score(doc=3468,freq=26.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.31146988 = fieldWeight in 3468, product of:
                  5.0990195 = tf(freq=26.0), with freq of:
                    26.0 = termFreq=26.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=3468)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    Finding audiovisual material for reuse in new programs is an important activity for news producers, documentary makers, and other media professionals. Such professionals are typically served by an audiovisual broadcast archive. We report on a study of the transaction logs of one such archive. The analysis includes an investigation of commercial orders made by the media professionals and a characterization of sessions, queries, and the content of terms recorded in the logs. One of our key findings is that there is a strong demand for short pieces of audiovisual material in the archive. In addition, while searchers are generally able to quickly navigate to a usable audiovisual broadcast, it takes them longer to place an order when purchasing a subsection of a broadcast than when purchasing an entire broadcast. Another key finding is that queries predominantly consist of (parts of) broadcast titles and of proper names. Our observations imply that it may be beneficial to increase support for fine-grained access to audiovisual material, for example, through manual segmentation or content-based analysis.
    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.6, S.1180-1197
  6. Yuan, X.; Belkin, N.J.: Investigating information retrieval support techniques for different information-seeking strategies (2010) 0.00
    0.00355646 = product of:
      0.0106693795 = sum of:
        0.0106693795 = product of:
          0.021338759 = sum of:
            0.021338759 = weight(_text_:of in 3699) [ClassicSimilarity], result of:
              0.021338759 = score(doc=3699,freq=26.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.31146988 = fieldWeight in 3699, product of:
                  5.0990195 = tf(freq=26.0), with freq of:
                    26.0 = termFreq=26.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=3699)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    We report on a study that investigated the efficacy of four different interactive information retrieval (IIR) systems, each designed to support a specific information-seeking strategy (ISS). These systems were constructed using different combinations of IR techniques (i.e., combinations of different methods of representation, comparison, presentation and navigation), each of which was hypothesized to be well suited to support a specific ISS. We compared the performance of searchers in each such system, designated experimental, to an appropriate baseline system, which implemented the standard specified query and results list model of current state-of-the-art experimental and operational IR systems. Four within-subjects experiments were conducted for the purpose of this comparison. Results showed that each of the experimental systems was superior to its baseline system in supporting user performance for the specific ISS (that is, the information problem leading to that ISS) for which the system was designed. These results indicate that an IIR system, which intends to support more than one kind of ISS, should be designed within a framework which allows the use and combination of different IR support techniques for different ISSs.
    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.8, S.1543-1563
  7. MacFarlane, A.; Al-Wabil, A.; Marshall, C.R.; Albrair, A.; Jones, S.A.; Zaphiris, P.: ¬The effect of dyslexia on information retrieval : a pilot study (2010) 0.00
    0.0034169364 = product of:
      0.010250809 = sum of:
        0.010250809 = product of:
          0.020501617 = sum of:
            0.020501617 = weight(_text_:of in 3624) [ClassicSimilarity], result of:
              0.020501617 = score(doc=3624,freq=24.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.2992506 = fieldWeight in 3624, product of:
                  4.8989797 = tf(freq=24.0), with freq of:
                    24.0 = termFreq=24.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=3624)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    Purpose - The purpose of this paper is to resolve a gap in the knowledge of how people with dyslexia interact with information retrieval (IR) systems, specifically an understanding of their information-searching behaviour. Design/methodology/approach - The dyslexia cognitive profile is used to design a logging system, recording the difference between two sets of participants: dyslexic and control users. A standard Okapi interface is used - together with two standard TREC topics - in order to record the information searching behaviour of these users. Findings - Using the log data, the differences in information-searching behaviour of control and dyslexic users, i.e. in the way the two groups interact with Okapi, are established and it also established that qualitative information collected (such as experience etc.) may not be able to account for these differences. Evidence from query variables was unable to distinguish between groups, but differences on topic for the same variables were recorded. Users who view more documents tended to judge more documents as being relevant, in terms of either the user group or topic. Session data indicated that there may be an important difference between the number of iterations used in a search between the user groups, as there may be little effect from the topic on this variable. Originality/value - This is the first study of the effect of dyslexia on information search behaviour, and it provides some evidence to take the field forward.
    Source
    Journal of documentation. 66(2010) no.3, S.307-326
  8. Nicholas, D.; Clark, D.; Rowlands, I.; Jamali, H.R.: Information on the go : a case study of Europeana mobile users (2013) 0.00
    0.0034169364 = product of:
      0.010250809 = sum of:
        0.010250809 = product of:
          0.020501617 = sum of:
            0.020501617 = weight(_text_:of in 961) [ClassicSimilarity], result of:
              0.020501617 = score(doc=961,freq=24.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.2992506 = fieldWeight in 961, product of:
                  4.8989797 = tf(freq=24.0), with freq of:
                    24.0 = termFreq=24.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=961)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    According to estimates the mobile device will soon be the main platform for searching the web, and yet our knowledge of how mobile consumers use information, and how that differs from desktops/laptops users, is imperfect. The paper sets out to correct this through an analysis of the logs of a major cultural website, Europeana. The behavior of nearly 70,000 mobile users was examined over a period of more than a year and compared with that for PC users of the same site and for the same period. The analyses conducted include: size and growth of use, time patterns of use; geographical location of users, digital collections used; comparative information-seeking behavior using dashboard metrics, clustering of users according to their information seeking, and user satisfaction. The main findings were that mobile users were the fastest-growing group and will rise rapidly to a million by December 2012 and that their visits were very different in the aggregate from those arising from fixed platforms. Mobile visits could be described as being information "lite": typically shorter, less interactive, and less content viewed per visit. Use took a social rather than office pattern, with mobile use peaking at nights and weekends. The variation between different mobile devices was large, with information seeking on the iPad similar to that for PCs and laptops and that for smartphones very different indeed. The research further confirms that information-seeking behavior is platform-specific and the latest platforms are changing it all again. Websites will have to adapt.
    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.7, S.1311-1322
  9. Lian, T.; Chen, Z.; Lin, Y.; Ma, J.: Temporal patterns of the online video viewing behavior of smart TV viewers (2018) 0.00
    0.0034169364 = product of:
      0.010250809 = sum of:
        0.010250809 = product of:
          0.020501617 = sum of:
            0.020501617 = weight(_text_:of in 4219) [ClassicSimilarity], result of:
              0.020501617 = score(doc=4219,freq=24.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.2992506 = fieldWeight in 4219, product of:
                  4.8989797 = tf(freq=24.0), with freq of:
                    24.0 = termFreq=24.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=4219)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    In recent years, millions of households have shifted from traditional TVs to smart TVs for viewing online videos on TV screens. In this article, we perform extensive analyses on a large-scale online video viewing log on smart TVs. Because time influences almost every aspect of our lives, our aim is to understand temporal patterns of the online video viewing behavior of smart TV viewers at the crowd level. First, we measure the amount of time per hour spent in watching online videos on smart TV by each household on each day. By applying clustering techniques, we identify eight daily patterns whose peak hours occur in different segments of the day. The differences among households can be characterized by three types of temporal habits. We also uncover five periodic weekly patterns. There seems to be a circadian rhythm at the crow level. Further analysis confirms that there exists a holiday effect in the online video viewing behavior on smart TVs. Finally, we investigate the popularity variations of different video categories over the day. The obtained insights shed light on how we can partition a day to improve the performance of time-aware video recommendations for smart TV viewers.
    Source
    Journal of the Association for Information Science and Technology. 69(2018) no.5, S.647-659
  10. Lewandowski, D.; Kerkmann, F.; Rümmele, S.; Sünkler, S.: ¬An empirical investigation on search engine ad disclosure (2018) 0.00
    0.003382594 = product of:
      0.010147782 = sum of:
        0.010147782 = product of:
          0.020295564 = sum of:
            0.020295564 = weight(_text_:of in 4115) [ClassicSimilarity], result of:
              0.020295564 = score(doc=4115,freq=12.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.29624295 = fieldWeight in 4115, product of:
                  3.4641016 = tf(freq=12.0), with freq of:
                    12.0 = termFreq=12.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=4115)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    This representative study of German search engine users (N?=?1,000) focuses on the ability of users to distinguish between organic results and advertisements on Google results pages. We combine questions about Google's business with task-based studies in which users were asked to distinguish between ads and organic results in screenshots of results pages. We find that only a small percentage of users can reliably distinguish between ads and organic results, and that user knowledge of Google's business model is very limited. We conclude that ads are insufficiently labelled as such, and that many users may click on ads assuming that they are selecting organic results.
    Source
    Journal of the Association for Information Science and Technology. 69(2018) no.3, S.420-437
  11. Berget, G.; Sandnes, F.E.: Do autocomplete functions reduce the impact of dyslexia on information-searching behavior? : the case of Google (2016) 0.00
    0.0033478998 = product of:
      0.010043699 = sum of:
        0.010043699 = product of:
          0.020087399 = sum of:
            0.020087399 = weight(_text_:of in 3112) [ClassicSimilarity], result of:
              0.020087399 = score(doc=3112,freq=16.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.2932045 = fieldWeight in 3112, product of:
                  4.0 = tf(freq=16.0), with freq of:
                    16.0 = termFreq=16.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.046875 = fieldNorm(doc=3112)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    Dyslexic users often do not exhibit spelling and reading skills at a level required to perform effective search. To explore whether autocomplete functions reduce the impact of dyslexia on information searching, 20 participants with dyslexia and 20 controls solved 10 predefined tasks in the search engine Google. Eye-tracking and screen-capture documented the searches. There were no significant differences between the dyslexic students and the controls in time usage, number of queries, query lengths, or the use of the autocomplete function. However, participants with dyslexia made more misspellings and looked less at the screen and the autocomplete suggestions lists while entering the queries. The results indicate that although the autocomplete function supported the participants in the search process, a more extensive use of the autocomplete function would have reduced misspellings. Further, the high tolerance for spelling errors considerably reduced the effect of dyslexia, and may be as important as the autocomplete function.
    Source
    Journal of the Association for Information Science and Technology. 67(2016) no.10, S.2320-2328
  12. Tenopir, C.; Levine, K.; Allard, S.; Christian, L.; Volentine, R.; Boehm, R.; Nichols, F.; Nicholas, D.; Jamali, H.R.; Herman, E.; Watkinson, A.: Trustworthiness and authority of scholarly information in a digital age : results of an international questionnaire (2016) 0.00
    0.0033478998 = product of:
      0.010043699 = sum of:
        0.010043699 = product of:
          0.020087399 = sum of:
            0.020087399 = weight(_text_:of in 3113) [ClassicSimilarity], result of:
              0.020087399 = score(doc=3113,freq=16.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.2932045 = fieldWeight in 3113, product of:
                  4.0 = tf(freq=16.0), with freq of:
                    16.0 = termFreq=16.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.046875 = fieldNorm(doc=3113)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    An international survey of over 3,600 researchers examined how trustworthiness and quality are determined for making decisions on scholarly reading, citing, and publishing and how scholars perceive changes in trust with new forms of scholarly communication. Although differences in determining trustworthiness and authority of scholarly resources exist among age groups and fields of study, traditional methods and criteria remain important across the board. Peer review is considered the most important factor for determining the quality and trustworthiness of research. Researchers continue to read abstracts, check content for sound arguments and credible data, and rely on journal rankings when deciding whether to trust scholarly resources in reading, citing, or publishing. Social media outlets and open access publications are still often not trusted, although many researchers believe that open access has positive implications for research, especially if the open access journals are peer reviewed.
    Source
    Journal of the Association for Information Science and Technology. 67(2016) no.10, S.2344-2361
  13. Gwizdka, J.: Distribution of cognitive load in Web search (2010) 0.00
    0.003271467 = product of:
      0.009814401 = sum of:
        0.009814401 = product of:
          0.019628802 = sum of:
            0.019628802 = weight(_text_:of in 4095) [ClassicSimilarity], result of:
              0.019628802 = score(doc=4095,freq=22.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.28651062 = fieldWeight in 4095, product of:
                  4.690416 = tf(freq=22.0), with freq of:
                    22.0 = termFreq=22.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=4095)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    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
  14. Cleverley, P.H.; Burnett, S.; Muir, L.: Exploratory information searching in the enterprise : a study of user satisfaction and task performance (2017) 0.00
    0.003271467 = product of:
      0.009814401 = sum of:
        0.009814401 = product of:
          0.019628802 = sum of:
            0.019628802 = weight(_text_:of in 3319) [ClassicSimilarity], result of:
              0.019628802 = score(doc=3319,freq=22.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.28651062 = fieldWeight in 3319, product of:
                  4.690416 = tf(freq=22.0), with freq of:
                    22.0 = termFreq=22.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=3319)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    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
  15. Niu, X.; Hemminger, B.M.: ¬A study of factors that affect the information-seeking behavior of academic scientists (2012) 0.00
    0.0031316737 = product of:
      0.009395021 = sum of:
        0.009395021 = product of:
          0.018790042 = sum of:
            0.018790042 = weight(_text_:of in 4986) [ClassicSimilarity], result of:
              0.018790042 = score(doc=4986,freq=14.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.2742677 = fieldWeight in 4986, product of:
                  3.7416575 = tf(freq=14.0), with freq of:
                    14.0 = termFreq=14.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.046875 = fieldNorm(doc=4986)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    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
  16. Kaba, B.; Touré, B.: Understanding information and communication technology behavioral intention to use : applying the UTAUT model to social networking site adoption by young people in a least developed country (2014) 0.00
    0.0031316737 = product of:
      0.009395021 = sum of:
        0.009395021 = product of:
          0.018790042 = sum of:
            0.018790042 = weight(_text_:of in 1336) [ClassicSimilarity], result of:
              0.018790042 = score(doc=1336,freq=14.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.2742677 = fieldWeight in 1336, product of:
                  3.7416575 = tf(freq=14.0), with freq of:
                    14.0 = termFreq=14.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.046875 = fieldNorm(doc=1336)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    According to many studies, social network sites (SNS) have become some of the most popular online destinations. It has been pointed out that very little is known about the psychosocial variables that predict people's use of these websites. In this article, our general objective is to understand behavioral intentions to use SNS employing the well-known unified theory of acceptance and use of technology (UTAUT), which has been validated in a number of studies. Data were collected through a questionnaire survey from a final sample of 1,039 social networking website users in Africa. We have shown that there are contexts, such as the African context, in which the UTAUT does not hold up. Explanations are provided to support the findings.
    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.8, S.1662-1674
  17. Ramdeen, S.; Hemminger, B.M.: ¬A tale of two interfaces : how facets affect the library catalog search (2012) 0.00
    0.0031192217 = product of:
      0.009357665 = sum of:
        0.009357665 = product of:
          0.01871533 = sum of:
            0.01871533 = weight(_text_:of in 87) [ClassicSimilarity], result of:
              0.01871533 = score(doc=87,freq=20.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.27317715 = fieldWeight in 87, product of:
                  4.472136 = tf(freq=20.0), with freq of:
                    20.0 = termFreq=20.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=87)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    In the summer of 2008 all University of North Carolina libraries switched from a traditional library catalog interface supporting text-based searching (TextOnly) to a text and facet-based interface (TextFacet) to improve users' search experiences. This study seeks to understand the differences between these two interfaces and how they affect the search experience of the novice user. In this study, 40 participants were asked to search for resources using both interfaces. Their search times and accuracy were measured across three types of search tasks (known, partially known, and exploratory). After completing the searches, they were asked a series of questions about their experiences. The data were analyzed in order to identify strengths and weaknesses in both search interfaces. Thirty-six out of 40 participants preferred the TextFacet interface to the TextOnly interface. Using three dependent variables-time, accuracy, and rating-the two interfaces were compared and interactions were tested with the three task types. Search times for the TextFacet were shorter and participants preferred the TextFacet search interface over the TextOnly search interface. Performances across the three task types were different in terms of search time. The partially known and exploratory task types showed similar distributions for rating and accuracy. These distributions were distinctly different from the known task type. The results of this study may assist libraries in developing improved library catalog search interfaces that utilize facets as well as text searching.
    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.4, S.702-715
  18. Clewley, N.; Chen, S.Y.; Liu, X.: Cognitive styles and search engine preferences : field dependence/independence vs holism/serialism (2010) 0.00
    0.0029591531 = product of:
      0.008877459 = sum of:
        0.008877459 = product of:
          0.017754918 = sum of:
            0.017754918 = weight(_text_:of in 3961) [ClassicSimilarity], result of:
              0.017754918 = score(doc=3961,freq=18.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.25915858 = fieldWeight in 3961, product of:
                  4.2426405 = tf(freq=18.0), with freq of:
                    18.0 = termFreq=18.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=3961)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    Purpose - Cognitive style has been identified to be significantly influential in deciding users' preferences of search engines. In particular, Witkin's field dependence/independence has been widely studied in the area of web searching. It has been suggested that this cognitive style has conceptual links with the holism/serialism. This study aims to investigate the differences between the field dependence/independence and holism/serialism. Design/methodology/approach - An empirical study was conducted with 120 students from a UK university. Riding's cognitive style analysis (CSA) and Ford's study preference questionnaire (SPQ) were used to identify the students' cognitive styles. A questionnaire was designed to identify users' preferences for the design of search engines. Data mining techniques were applied to analyse the data obtained from the empirical study. Findings - The results highlight three findings. First, a fundamental link is confirmed between the two cognitive styles. Second, the relationship between field dependent users and holists is suggested to be more prominent than that of field independent users and serialists. Third, the interface design preferences of field dependent and field independent users can be split more clearly than those of holists and serialists. Originality/value - The contributions of this study include a deeper understanding of the similarities and differences between field dependence/independence and holists/serialists as well as proposing a novel methodology for data analyses.
    Source
    Journal of documentation. 66(2010) no.4, S.585-603
  19. Unkel, J.; Haas, A.: ¬The effects of credibility cues on the selection of search engine results (2017) 0.00
    0.0029591531 = product of:
      0.008877459 = sum of:
        0.008877459 = product of:
          0.017754918 = sum of:
            0.017754918 = weight(_text_:of in 3752) [ClassicSimilarity], result of:
              0.017754918 = score(doc=3752,freq=18.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.25915858 = fieldWeight in 3752, product of:
                  4.2426405 = tf(freq=18.0), with freq of:
                    18.0 = termFreq=18.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=3752)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    Web search engines act as gatekeepers when people search for information online. Research has shown that search engine users seem to trust the search engines' ranking uncritically and mostly select top-ranked results. This study further examines search engine users' selection behavior. Drawing from the credibility and information research literature, we test whether the presence or absence of certain credibility cues influences the selection probability of search engine results. In an observational study, participants (N?=?247) completed two information research tasks on preset search engine results pages, on which three credibility cues (source reputation, message neutrality, and social recommendations) as well as the search result ranking were systematically varied. The results of our study confirm the significance of the ranking. Of the three credibility cues, only reputation had an additional effect on selection probabilities. Personal characteristics (prior knowledge about the researched issues, search engine usage patterns, etc.) did not influence the preference for search results linked with certain credibility cues. These findings are discussed in light of situational and contextual characteristics (e.g., involvement, low-cost scenarios).
    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.8, S.1850-1862
  20. Liu, J.; Zhang, X.: ¬The role of domain knowledge in document selection from search results (2019) 0.00
    0.0029591531 = product of:
      0.008877459 = sum of:
        0.008877459 = product of:
          0.017754918 = sum of:
            0.017754918 = weight(_text_:of in 5410) [ClassicSimilarity], result of:
              0.017754918 = score(doc=5410,freq=18.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.25915858 = fieldWeight in 5410, product of:
                  4.2426405 = tf(freq=18.0), with freq of:
                    18.0 = termFreq=18.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=5410)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    It is a frequently seen scenario that when people are not familiar with their search topics, they use a simple keyword search, which leads to a large amount of search results in multiple pages. This makes it difficult for users to pick relevant documents, especially given that they are not knowledgeable of the topics. To explore how systems can better help users find relevant documents from search results, the current research analyzed document selection behaviors of users with different levels of domain knowledge (DK). Data were collected in a laboratory study with 35 participants each searching on four tasks in the genomics domain. The results show that users with high and low DK levels selected different sets of documents to view; those high in DK read more documents and gave higher relevance ratings for the viewed documents than those low in DK did. Users with low DK tended to select documents ranking toward the top of the search result lists, and those with high in DK tended to also select documents ranking down the search result lists. The findings help design search systems that can personalize search results to users with different levels of DK.
    Source
    Journal of the Association for Information Science and Technology. 70(2019) no.11, S.1236-1247

Languages

  • e 59
  • d 1
  • More… Less…

Types

  • a 59
  • el 1
  • More… Less…