Search (32 results, page 1 of 2)

0.05721066 = product of:
  0.22884265 = sum of:
    0.13592258 = weight(_text_:filter in 1177) [ClassicSimilarity], result of:
      0.13592258 = score(doc=1177,freq=4.0), product of:
        0.24899386 = queryWeight, product of:
          6.987357 = idf(docFreq=110, maxDocs=44218)
          0.035634913 = queryNorm
        0.5458873 = fieldWeight in 1177, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          6.987357 = idf(docFreq=110, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1177)
    0.08084996 = weight(_text_:log in 1177) [ClassicSimilarity], result of:
      0.08084996 = score(doc=1177,freq=2.0), product of:
        0.22837062 = queryWeight, product of:
          6.4086204 = idf(docFreq=197, maxDocs=44218)
          0.035634913 = queryNorm
        0.3540296 = fieldWeight in 1177, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          6.4086204 = idf(docFreq=197, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1177)
    0.012070097 = product of:
      0.024140194 = sum of:
        0.024140194 = weight(_text_:22 in 1177) [ClassicSimilarity], result of:
          0.024140194 = score(doc=1177,freq=2.0), product of:
            0.12478739 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.035634913 = queryNorm
            0.19345059 = fieldWeight in 1177, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1177)
      0.5 = coord(1/2)
  0.25 = coord(3/12)

Abstract

Search engine users typically engage in multiquery sessions in their quest to fulfill their information needs. Despite a plethora of research findings suggesting that a significant group of users look for information within a specific geographical scope, existing reformulation studies lack a focused analysis of how users reformulate geographic queries. This study comprehensively investigates the ways in which users reformulate such needs in an attempt to fill this gap in the literature. Reformulated sessions were sampled from a query log of a major search engine to extract 2,400 entries that were manually inspected to filter geo sessions. This filter identified 471 search sessions that included geographical intent, and these sessions were analyzed quantitatively and qualitatively. The results revealed that one in five of the users who reformulated their queries were looking for geographically related information. They reformulated their queries by changing the content of the query rather than the structure. Users were not following a unified sequence of modifications and instead performed a single reformulation action. However, in some cases it was possible to anticipate their next move. A number of tasks in geo modifications were identified, including standard, multi-needs, multi-places, and hybrid approaches. The research concludes that it is important to specialize query reformulation studies to focus on particular query types rather than generically analyzing them, as it is apparent that geographic queries have their special reformulation characteristics.

Date

26. 1.2014 18:48:22

0.042343657 = product of:
  0.12703097 = sum of:
    0.029650755 = weight(_text_:web in 4042) [ClassicSimilarity], result of:
      0.029650755 = score(doc=4042,freq=4.0), product of:
        0.11629491 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.035634913 = queryNorm
        0.25496176 = fieldWeight in 4042, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4042)
    0.029083263 = weight(_text_:world in 4042) [ClassicSimilarity], result of:
      0.029083263 = score(doc=4042,freq=2.0), product of:
        0.13696888 = queryWeight, product of:
          3.8436708 = idf(docFreq=2573, maxDocs=44218)
          0.035634913 = queryNorm
        0.21233483 = fieldWeight in 4042, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.8436708 = idf(docFreq=2573, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4042)
    0.038646206 = weight(_text_:wide in 4042) [ClassicSimilarity], result of:
      0.038646206 = score(doc=4042,freq=2.0), product of:
        0.1578897 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.035634913 = queryNorm
        0.24476713 = fieldWeight in 4042, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4042)
    0.029650755 = weight(_text_:web in 4042) [ClassicSimilarity], result of:
      0.029650755 = score(doc=4042,freq=4.0), product of:
        0.11629491 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.035634913 = queryNorm
        0.25496176 = fieldWeight in 4042, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4042)
  0.33333334 = coord(4/12)

Abstract

Although technology can often correct spelling errors, the complex tasks of information searching and retrieval in an online public access catalog (OPAC) are made more difficult by these errors in users' input and bibliographic records. This study examines the search behaviors of 38 university students, divided into groups with either easy-to-spell or difficult-to-spell search terms, who were asked to find items in the OPAC with these search terms. Search behaviors and strategy use in the OPAC and on the World Wide Web (WWW) were examined. In general, students used familiar Web resources to check their spelling or discover more about the assigned topic. Students with difficult-to-spell search terms checked spelling more often, changed search strategies to look for the general topic and had fewer successful searches. Students unable to find the correct spelling of a search term were unable to complete their search. Students tended to search the OPAC as they would search a search engine, with few search terms or complex search strategies. The results of this study have implications for spell checking, user-focused OPAC design, and cataloging. Students' search behaviors are discussed by expanding Thatcher's (2006) Information-Seeking Process and Tactics for the WWW model to include OPACs.

0.024209742 = product of:
  0.14525844 = sum of:
    0.07262922 = weight(_text_:web in 3623) [ClassicSimilarity], result of:
      0.07262922 = score(doc=3623,freq=24.0), product of:
        0.11629491 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.035634913 = queryNorm
        0.6245262 = fieldWeight in 3623, product of:
          4.8989797 = tf(freq=24.0), with freq of:
            24.0 = termFreq=24.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3623)
    0.07262922 = weight(_text_:web in 3623) [ClassicSimilarity], result of:
      0.07262922 = score(doc=3623,freq=24.0), product of:
        0.11629491 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.035634913 = queryNorm
        0.6245262 = fieldWeight in 3623, product of:
          4.8989797 = tf(freq=24.0), with freq of:
            24.0 = termFreq=24.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3623)
  0.16666667 = coord(2/12)

Abstract

Purpose - This paper aims to report findings from an exploratory study investigating the web interactions and technoliteracy of children in the early childhood years. Previous research has studied aspects of older children's technoliteracy and web searching; however, few studies have analyzed web search data from children younger than six years of age. Design/methodology/approach - The study explored the Google web searching and technoliteracy of young children who are enrolled in a "preparatory classroom" or kindergarten (the year before young children begin compulsory schooling in Queensland, Australia). Young children were video- and audio-taped while conducting Google web searches in the classroom. The data were qualitatively analysed to understand the young children's web search behaviour. Findings - The findings show that young children engage in complex web searches, including keyword searching and browsing, query formulation and reformulation, relevance judgments, successive searches, information multitasking and collaborative behaviours. The study results provide significant initial insights into young children's web searching and technoliteracy. Practical implications - The use of web search engines by young children is an important research area with implications for educators and web technologies developers. Originality/value - This is the first study of young children's interaction with a web search engine.

0.01976717 = product of:
  0.11860302 = sum of:
    0.05930151 = weight(_text_:web in 4624) [ClassicSimilarity], result of:
      0.05930151 = score(doc=4624,freq=16.0), product of:
        0.11629491 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.035634913 = queryNorm
        0.5099235 = fieldWeight in 4624, product of:
          4.0 = tf(freq=16.0), with freq of:
            16.0 = termFreq=16.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4624)
    0.05930151 = weight(_text_:web in 4624) [ClassicSimilarity], result of:
      0.05930151 = score(doc=4624,freq=16.0), product of:
        0.11629491 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.035634913 = queryNorm
        0.5099235 = fieldWeight in 4624, product of:
          4.0 = tf(freq=16.0), with freq of:
            16.0 = termFreq=16.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4624)
  0.16666667 = coord(2/12)

Abstract

Limited research has investigated the role of multitasking, cognitive coordination, and cognitive shifts during web search. Understanding these three behaviors is crucial to web search model development. This study aims to explore characteristics of multitasking behavior, types of cognitive shifts, and levels of cognitive coordination as well as the relationship between them during web search. Data collection included pre- and postquestionnaires, think-aloud protocols, web search logs, observations, and interviews with 42 graduate students who conducted 315 web search sessions with 221 information problems. Results show that web search is a dynamic interaction including the ordering of multiple information problems and the generation of evolving information problems, including task switching, multitasking, explicit task and implicit mental coordination, and cognitive shifting. Findings show that explicit task-level coordination is closely linked to multitasking, and implicit cognitive-level coordination is related to the task-coordination process; including information problem development and task switching. Coordination mechanisms directly result in cognitive state shifts including strategy, evaluation, and view states that affect users' holistic shifts in information problem understanding and knowledge contribution. A web search model integrating multitasking, cognitive coordination, and cognitive shifts (MCC model) is presented. Implications and further research also are discussed.

0.0186715 = product of:
  0.22405799 = sum of:
    0.22405799 = weight(_text_:log in 4304) [ClassicSimilarity], result of:
      0.22405799 = score(doc=4304,freq=6.0), product of:
        0.22837062 = queryWeight, product of:
          6.4086204 = idf(docFreq=197, maxDocs=44218)
          0.035634913 = queryNorm
        0.98111564 = fieldWeight in 4304, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          6.4086204 = idf(docFreq=197, maxDocs=44218)
          0.0625 = fieldNorm(doc=4304)
  0.083333336 = coord(1/12)

Abstract

Die Analyse des Verhaltens von Benutzern von Informationssystemen stellt einen Kern der Informationswissenschaft dar. Die Sammlung von umfangreichen Verhaltensdaten fällt mit den heutigen technischen Möglichkeiten leicht. Der Artikel fasst Möglichkeiten und Chancen der Analyse von Log-Dateien zusammen. Der Track LogCLEF wird vorgestellt, der Forschern erstmals die Möglichkeit eröffnet, mit den denselben Log-Dateien und somit vergleichend arbeiten zu können. Die Datengrundlage und einige Ergebnisse von LogCLEF werden vorgestellt.

0.016946819 = product of:
  0.10168091 = sum of:
    0.050840456 = weight(_text_:web in 4676) [ClassicSimilarity], result of:
      0.050840456 = score(doc=4676,freq=6.0), product of:
        0.11629491 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.035634913 = queryNorm
        0.43716836 = fieldWeight in 4676, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0546875 = fieldNorm(doc=4676)
    0.050840456 = weight(_text_:web in 4676) [ClassicSimilarity], result of:
      0.050840456 = score(doc=4676,freq=6.0), product of:
        0.11629491 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.035634913 = queryNorm
        0.43716836 = fieldWeight in 4676, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0546875 = fieldNorm(doc=4676)
  0.16666667 = coord(2/12)

Abstract

This paper discusses an approach of collecting qualitative data on human information behaviour that is based on mining web data using search engines. The approach is technically the same that has been used for some time in webometric research to make statistical inferences on web data, but the present paper shows how the same tools and data collecting methods can be used to gather data for qualitative data analysis on human information behaviour.

0.014525845 = product of:
  0.08715507 = sum of:
    0.043577533 = weight(_text_:web in 3995) [ClassicSimilarity], result of:
      0.043577533 = score(doc=3995,freq=6.0), product of:
        0.11629491 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.035634913 = queryNorm
        0.37471575 = fieldWeight in 3995, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046875 = fieldNorm(doc=3995)
    0.043577533 = weight(_text_:web in 3995) [ClassicSimilarity], result of:
      0.043577533 = score(doc=3995,freq=6.0), product of:
        0.11629491 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.035634913 = queryNorm
        0.37471575 = fieldWeight in 3995, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046875 = fieldNorm(doc=3995)
  0.16666667 = coord(2/12)

Abstract

This research examined college students' image searching processes on the Web. The study's objective was to collect empirical data on students' search needs and identify what contextual factors had a significant influence on their image searching tactics. While confirming common search behaviors such as Google-dominant use, short queries, rare use of advanced search options, and checking few search result pages, the findings also revealed a significantly different effect of contextual factors on the tactics of querying and navigating, performance, and relevance judgment. In particular, interaction activities were differentiated by task goals, level of searching expertise, and work task stages. The results suggested that context-sensitive services and interface features would better suit Web users' actual needs and enhance their searching experience.

0.012104871 = product of:
  0.07262922 = sum of:
    0.03631461 = weight(_text_:web in 4097) [ClassicSimilarity], result of:
      0.03631461 = score(doc=4097,freq=6.0), product of:
        0.11629491 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.035634913 = queryNorm
        0.3122631 = fieldWeight in 4097, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4097)
    0.03631461 = weight(_text_:web in 4097) [ClassicSimilarity], result of:
      0.03631461 = score(doc=4097,freq=6.0), product of:
        0.11629491 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.035634913 = queryNorm
        0.3122631 = fieldWeight in 4097, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4097)
  0.16666667 = coord(2/12)

Abstract

Although many studies have identified search tactics, few studies have explored tactic transitions. This study investigated the transitions of search tactics during the Web-based search process. Bringing their own 60 search tasks, 31 participants, representing the general public with different demographic characteristics, participated in the study. Data collected from search logs and verbal protocols were analyzed by applying both qualitative and quantitative methods. The findings of this study show that participants exhibited some unique Web search tactics. They overwhelmingly employed accessing and evaluating tactics; they used fewer tactics related to modifying search statements, monitoring the search process, organizing search results, and learning system features. The contributing factors behind applying most and least frequently employed search tactics are in relation to users' efforts, trust in information retrieval (IR) systems, preference, experience, and knowledge as well as limitation of the system design. A matrix of search-tactic transitions was created to show the probabilities of transitions from one tactic to another. By applying fifth-order Markov chain, the results also presented the most common search strategies representing patterns of tactic transition occurring at the beginning, middle, and ending phases within one search session. The results of this study generated detailed and useful guidance for IR system design to support the most frequently applied tactics and transitions, to reduce unnecessary transitions, and support transitions at different phases.

0.012104871 = product of:
  0.07262922 = sum of:
    0.03631461 = weight(_text_:web in 1666) [ClassicSimilarity], result of:
      0.03631461 = score(doc=1666,freq=6.0), product of:
        0.11629491 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.035634913 = queryNorm
        0.3122631 = fieldWeight in 1666, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1666)
    0.03631461 = weight(_text_:web in 1666) [ClassicSimilarity], result of:
      0.03631461 = score(doc=1666,freq=6.0), product of:
        0.11629491 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.035634913 = queryNorm
        0.3122631 = fieldWeight in 1666, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1666)
  0.16666667 = coord(2/12)

Abstract

In recent years, searching the web on mobile devices has become enormously popular. Because mobile devices have relatively small screens and show fewer search results, search behavior with mobile devices may be different from that with desktops or laptops. Therefore, examining these differences may suggest better, more efficient designs for mobile search engines. In this experiment, we use eye tracking to explore user behavior and performance. We analyze web searches with 2 task types on 2 differently sized screens: one for a desktop and the other for a mobile device. In addition, we examine the relationships between search performance and several search behaviors to allow further investigation of the differences engendered by the screens. We found that users have more difficulty extracting information from search results pages on the smaller screens, although they exhibit less eye movement as a result of an infrequent use of the scroll function. However, in terms of search performance, our findings suggest that there is no significant difference between the 2 screens in time spent on search results pages and the accuracy of finding answers. This suggests several possible ideas for the presentation design of search results pages on small devices.

0.011433911 = product of:
  0.13720693 = sum of:
    0.13720693 = weight(_text_:log in 4563) [ClassicSimilarity], result of:
      0.13720693 = score(doc=4563,freq=4.0), product of:
        0.22837062 = queryWeight, product of:
          6.4086204 = idf(docFreq=197, maxDocs=44218)
          0.035634913 = queryNorm
        0.60080814 = fieldWeight in 4563, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          6.4086204 = idf(docFreq=197, maxDocs=44218)
          0.046875 = fieldNorm(doc=4563)
  0.083333336 = coord(1/12)

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.

0.009883585 = product of:
  0.05930151 = sum of:
    0.029650755 = weight(_text_:web in 4095) [ClassicSimilarity], result of:
      0.029650755 = score(doc=4095,freq=4.0), product of:
        0.11629491 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.035634913 = queryNorm
        0.25496176 = fieldWeight in 4095, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4095)
    0.029650755 = weight(_text_:web in 4095) [ClassicSimilarity], result of:
      0.029650755 = score(doc=4095,freq=4.0), product of:
        0.11629491 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.035634913 = queryNorm
        0.25496176 = fieldWeight in 4095, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4095)
  0.16666667 = coord(2/12)

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.

0.009883585 = product of:
  0.05930151 = sum of:
    0.029650755 = weight(_text_:web in 4098) [ClassicSimilarity], result of:
      0.029650755 = score(doc=4098,freq=4.0), product of:
        0.11629491 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.035634913 = queryNorm
        0.25496176 = fieldWeight in 4098, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4098)
    0.029650755 = weight(_text_:web in 4098) [ClassicSimilarity], result of:
      0.029650755 = score(doc=4098,freq=4.0), product of:
        0.11629491 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.035634913 = queryNorm
        0.25496176 = fieldWeight in 4098, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4098)
  0.16666667 = coord(2/12)

Abstract

Although considered proxies for people to interact with a system, mental models have produced limited practical implications for system design. This might be due to the lack of exploration of the elements of mental models resulting from the methodological challenge of measuring mental models. This study employed a new method, concept listing, to elicit people's mental models of an information-rich space, MedlinePlus, after they interacted with the system for 5 minutes. Thirty-eight undergraduate students participated in the study. The results showed that, in this short period of time, participants perceived MedlinePlus from many different aspects in relation to four components: the system as a whole, its content, information organization, and interface. Meanwhile, participants expressed evaluations of or emotions about the four components. In terms of the procedural knowledge, an integral part of people's mental models, only one participant identified a strategy more aligned to the capabilities of MedlinePlus to solve a hypothetical task; the rest planned to use general search and browse strategies. The composition of participants' mental models of MedlinePlus was consistent with that of their models of information-rich Web spaces in general.

0.009883585 = product of:
  0.05930151 = sum of:
    0.029650755 = weight(_text_:web in 379) [ClassicSimilarity], result of:
      0.029650755 = score(doc=379,freq=4.0), product of:
        0.11629491 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.035634913 = queryNorm
        0.25496176 = fieldWeight in 379, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=379)
    0.029650755 = weight(_text_:web in 379) [ClassicSimilarity], result of:
      0.029650755 = score(doc=379,freq=4.0), product of:
        0.11629491 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.035634913 = queryNorm
        0.25496176 = fieldWeight in 379, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=379)
  0.16666667 = coord(2/12)

Abstract

Eye movement data can provide an in-depth view of human reasoning and the decision-making process, and modern information retrieval (IR) research can benefit from the analysis of this type of data. The aim of this research was to examine the relationship between relevance criteria use and visual behavior in the context of predictive relevance judgments. To address this objective, a multimethod research design was employed that involved observation of participants' eye movements, talk-aloud protocols, and postsearch interviews. Specifically, the results reported in this article came from the analysis of 281 predictive relevance judgments made by 24 participants using the Google search engine. We present a novel stepwise methodological framework for the analysis of relevance judgments and eye movements on the Web and show new patterns of relevance criteria use during predictive relevance judgment. For example, the findings showed an effect of ranking order and surrogate components (Title, Summary, and URL) on the use of relevance criteria. Also, differences were observed in the cognitive effort spent between very relevant and not relevant judgments. We conclude with the implications of this study for IR research.

0.008084997 = product of:
  0.097019956 = sum of:
    0.097019956 = weight(_text_:log in 4373) [ClassicSimilarity], result of:
      0.097019956 = score(doc=4373,freq=2.0), product of:
        0.22837062 = queryWeight, product of:
          6.4086204 = idf(docFreq=197, maxDocs=44218)
          0.035634913 = queryNorm
        0.42483553 = fieldWeight in 4373, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          6.4086204 = idf(docFreq=197, maxDocs=44218)
          0.046875 = fieldNorm(doc=4373)
  0.083333336 = coord(1/12)

Abstract

This paper reports on a transaction log analysis of the type and topic of search queries entered into the search engine Google (Australia). Two aspects, in particular, set this apart from previous studies: the sampling and analysis take account of the distribution of search queries, and lifestyle information of the searcher was matched with each search query. A surprising finding was that there was no observed statistically significant difference in search type or topics for different segments of the online population. It was found that queries about popular culture and Ecommerce accounted for almost half of all search engine queries and that half of the queries were entered with a particular Website in mind. The findings of this study also suggest that the Internet search engine is not only an interface to information or a shortcut to Websites, it is equally a site of leisure. This study has implications for the design and evaluation of search engines as well as our understanding of search engine use.

0.008084997 = product of:
  0.097019956 = sum of:
    0.097019956 = weight(_text_:log in 2034) [ClassicSimilarity], result of:
      0.097019956 = score(doc=2034,freq=2.0), product of:
        0.22837062 = queryWeight, product of:
          6.4086204 = idf(docFreq=197, maxDocs=44218)
          0.035634913 = queryNorm
        0.42483553 = fieldWeight in 2034, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          6.4086204 = idf(docFreq=197, maxDocs=44218)
          0.046875 = fieldNorm(doc=2034)
  0.083333336 = coord(1/12)

Abstract

This longitudinal study examined the search behavior of 10 students as they completed assigned exercises for an online professional course in expert searching. The research objective was to identify, describe, and hypothesize about features of the behavior that are indicative of procedural knowledge gained during guided instruction. Log-data of search interaction were coded using a conceptual framework focused on components of search practice hypothesized to organize an expert searcher's attention during search. The coded data were analyzed using a measure of pointwise mutual information and state-transition analysis. Results of the study provide important insight for future investigation of domain-independent search expertise and for the design of systems that assist searchers in gaining expertise.

0.0069887503 = product of:
  0.0419325 = sum of:
    0.02096625 = weight(_text_:web in 3961) [ClassicSimilarity], result of:
      0.02096625 = score(doc=3961,freq=2.0), product of:
        0.11629491 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.035634913 = queryNorm
        0.18028519 = fieldWeight in 3961, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3961)
    0.02096625 = weight(_text_:web in 3961) [ClassicSimilarity], result of:
      0.02096625 = score(doc=3961,freq=2.0), product of:
        0.11629491 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.035634913 = queryNorm
        0.18028519 = fieldWeight in 3961, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3961)
  0.16666667 = coord(2/12)

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.

0.0069887503 = product of:
  0.0419325 = sum of:
    0.02096625 = weight(_text_:web in 4129) [ClassicSimilarity], result of:
      0.02096625 = score(doc=4129,freq=2.0), product of:
        0.11629491 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.035634913 = queryNorm
        0.18028519 = fieldWeight in 4129, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4129)
    0.02096625 = weight(_text_:web in 4129) [ClassicSimilarity], result of:
      0.02096625 = score(doc=4129,freq=2.0), product of:
        0.11629491 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.035634913 = queryNorm
        0.18028519 = fieldWeight in 4129, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4129)
  0.16666667 = coord(2/12)

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.

0.0069887503 = product of:
  0.0419325 = sum of:
    0.02096625 = weight(_text_:web in 961) [ClassicSimilarity], result of:
      0.02096625 = score(doc=961,freq=2.0), product of:
        0.11629491 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.035634913 = queryNorm
        0.18028519 = fieldWeight in 961, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=961)
    0.02096625 = weight(_text_:web in 961) [ClassicSimilarity], result of:
      0.02096625 = score(doc=961,freq=2.0), product of:
        0.11629491 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.035634913 = queryNorm
        0.18028519 = fieldWeight in 961, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=961)
  0.16666667 = coord(2/12)

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.

0.0069887503 = product of:
  0.0419325 = sum of:
    0.02096625 = weight(_text_:web in 1523) [ClassicSimilarity], result of:
      0.02096625 = score(doc=1523,freq=2.0), product of:
        0.11629491 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.035634913 = queryNorm
        0.18028519 = fieldWeight in 1523, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1523)
    0.02096625 = weight(_text_:web in 1523) [ClassicSimilarity], result of:
      0.02096625 = score(doc=1523,freq=2.0), product of:
        0.11629491 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.035634913 = queryNorm
        0.18028519 = fieldWeight in 1523, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1523)
  0.16666667 = coord(2/12)

0.0069887503 = product of:
  0.0419325 = sum of:
    0.02096625 = weight(_text_:web in 1723) [ClassicSimilarity], result of:
      0.02096625 = score(doc=1723,freq=2.0), product of:
        0.11629491 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.035634913 = queryNorm
        0.18028519 = fieldWeight in 1723, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1723)
    0.02096625 = weight(_text_:web in 1723) [ClassicSimilarity], result of:
      0.02096625 = score(doc=1723,freq=2.0), product of:
        0.11629491 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.035634913 = queryNorm
        0.18028519 = fieldWeight in 1723, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1723)
  0.16666667 = coord(2/12)