Search (36 results, page 1 of 2)

0.021725137 = product of:
  0.043450274 = sum of:
    0.025748521 = weight(_text_:information in 6545) [ClassicSimilarity], result of:
      0.025748521 = score(doc=6545,freq=18.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.2909321 = fieldWeight in 6545, product of:
          4.2426405 = tf(freq=18.0), with freq of:
            18.0 = termFreq=18.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0390625 = fieldNorm(doc=6545)
    0.017701752 = product of:
      0.035403505 = sum of:
        0.035403505 = weight(_text_:organization in 6545) [ClassicSimilarity], result of:
          0.035403505 = score(doc=6545,freq=2.0), product of:
            0.17974974 = queryWeight, product of:
              3.5653565 = idf(docFreq=3399, maxDocs=44218)
              0.050415643 = queryNorm
            0.19695997 = fieldWeight in 6545, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5653565 = idf(docFreq=3399, maxDocs=44218)
              0.0390625 = fieldNorm(doc=6545)
      0.5 = coord(1/2)
  0.5 = coord(2/4)

Abstract

Reports on research into the information-seeking habits of primary schoolchildren conducted under operational conditions. Three workstations with Internet access were installed in a grade-six classroom in suburban Montreal. After a short introductory training session for the entire group followed by short individual sessions for each student, 53 students, working in small groups, used these workstations over a six-week period to seek information on the Web of relevance to a class project assigned by their teacher. The project dealt with the Winter Olympic Games (recently completed at that time). The student objective was to locate relevant information for a poster and an oral presentation on one of the sports represented at the Games. All screen activity was directly captured on videotape and group conversations at the workstation were audiotaped. Demographic and computer literacy information was gathered in a questionnaire. This paper presents a map of the information-seeking landscape based upon an analysis of the descriptive statistics gathered from the Web searches. It reveals that the novice users favored browsing over analytic search strategies, although they did show some sophistication in the construction of the latter. Online help was ignored. The children demonstrated a very high level of interactivity with the interface at the expense of thinking, planning and evaluating. This is a preliminary analysis of data which will subsequently be expanded by the inclusion of qualitative data

Imprint

Medford, NJ : Information Today

Series

Proceedings of the American Society for Information Science; vol.36

Source

Knowledge: creation, organization and use. Proceedings of the 62nd Annual Meeting of the American Society for Information Science, 31.10.-4.11.1999. Ed.: L. Woods

0.017528716 = product of:
  0.035057433 = sum of:
    0.014565565 = weight(_text_:information in 197) [ClassicSimilarity], result of:
      0.014565565 = score(doc=197,freq=4.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.16457605 = fieldWeight in 197, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=197)
    0.02049187 = product of:
      0.04098374 = sum of:
        0.04098374 = weight(_text_:22 in 197) [ClassicSimilarity], result of:
          0.04098374 = score(doc=197,freq=2.0), product of:
            0.17654699 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.050415643 = queryNorm
            0.23214069 = fieldWeight in 197, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046875 = fieldNorm(doc=197)
      0.5 = coord(1/2)
  0.5 = coord(2/4)

Abstract

Four focus groups were held with young Web users (10 to 13 years of age) to explore design criteria for Web portals. The focus group participants commented upon four existing portals designed with young users in mind: Ask Jeeves for Kids, KidsClick, Lycos Zone, and Yahooligans! This article reports their first impressions on using these portals, their likes and dislikes, and their suggestions for improvements. Design criteria for children's Web portals are elaborated based upon these comments under four headings: portal goals, visual design, information architecture, and personalization. An ideal portal should cater for both educational and entertainment needs, use attractive screen designs based especially on effective use of color, graphics, and animation, provide both keyword search facilities and browsable subject categories, and allow individual user personalization in areas such as color and graphics

Date

2. 6.2005 10:34:22

Source

Journal of the American Society for Information Science and technology. 53(2002) no.2, S.79-94

0.017528716 = product of:
  0.035057433 = sum of:
    0.014565565 = weight(_text_:information in 5228) [ClassicSimilarity], result of:
      0.014565565 = score(doc=5228,freq=4.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.16457605 = fieldWeight in 5228, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=5228)
    0.02049187 = product of:
      0.04098374 = sum of:
        0.04098374 = weight(_text_:22 in 5228) [ClassicSimilarity], result of:
          0.04098374 = score(doc=5228,freq=2.0), product of:
            0.17654699 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.050415643 = queryNorm
            0.23214069 = fieldWeight in 5228, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046875 = fieldNorm(doc=5228)
      0.5 = coord(1/2)
  0.5 = coord(2/4)

Abstract

Bilal, in this third part of her Yahooligans! study looks at children's performance with self-generated search tasks, as compared to previously assigned search tasks looking for differences in success, cognitive behavior, physical behavior, and task preference. Lotus ScreenCam was used to record interactions and post search interviews to record impressions. The subjects, the same 22 seventh grade children in the previous studies, generated topics of interest that were mediated with the researcher into more specific topics where necessary. Fifteen usable sessions form the basis of the study. Eleven children were successful in finding information, a rate of 73% compared to 69% in assigned research questions, and 50% in assigned fact-finding questions. Eighty-seven percent began using one or two keyword searches. Spelling was a problem. Successful children made fewer keyword searches and the number of search moves averaged 5.5 as compared to 2.4 on the research oriented task and 3.49 on the factual. Backtracking and looping were common. The self-generated task was preferred by 47% of the subjects.

Source

Journal of the American Society for Information Science and technology. 53(2002) no.13, S.1170-1183

0.017121121 = product of:
  0.034242243 = sum of:
    0.017165681 = weight(_text_:information in 1177) [ClassicSimilarity], result of:
      0.017165681 = score(doc=1177,freq=8.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.19395474 = fieldWeight in 1177, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1177)
    0.01707656 = product of:
      0.03415312 = sum of:
        0.03415312 = weight(_text_:22 in 1177) [ClassicSimilarity], result of:
          0.03415312 = score(doc=1177,freq=2.0), product of:
            0.17654699 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.050415643 = 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)
  0.5 = coord(2/4)

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

Source

Journal of the Association for Information Science and Technology. 65(2014) no.1, S.13-24

0.01597124 = product of:
  0.03194248 = sum of:
    0.014865918 = weight(_text_:information in 2117) [ClassicSimilarity], result of:
      0.014865918 = score(doc=2117,freq=6.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.16796975 = fieldWeight in 2117, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2117)
    0.01707656 = product of:
      0.03415312 = sum of:
        0.03415312 = weight(_text_:22 in 2117) [ClassicSimilarity], result of:
          0.03415312 = score(doc=2117,freq=2.0), product of:
            0.17654699 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.050415643 = queryNorm
            0.19345059 = fieldWeight in 2117, 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=2117)
      0.5 = coord(1/2)
  0.5 = coord(2/4)

Abstract

This paper presents an application of the model described in Part I to the evaluation of Web search engines by undergraduates. The study observed how 36 undergraduate used four major search engines to find information for their own individual problems and how they evaluated these engines based an actual interaction with the search engines. User evaluation was based an 16 performance measures representing five evaluation criteria: relevance, efficiency, utility, user satisfaction, and connectivity. Non-performance (user-related) measures were also applied. Each participant searched his/ her own topic an all four engines and provided satisfaction ratings for system features and interaction and reasons for satisfaction. Each also made relevance judgements of retrieved items in relation to his/her own information need and participated in post-search Interviews to provide reactions to the search results and overall performance. The study found significant differences in precision PR1 relative recall, user satisfaction with output display, time saving, value of search results, and overall performance among the four engines and also significant engine by discipline interactions an all these measures. In addition, the study found significant differences in user satisfaction with response time among four engines, and significant engine by discipline interaction in user satisfaction with search interface. None of the four search engines dominated in every aspect of the multidimensional evaluation. Content analysis of verbal data identified a number of user criteria and users evaluative comments based an these criteria. Results from both quantitative analysis and content analysis provide insight for system design and development, and useful feedback an strengths and weaknesses of search engines for system improvement

Date

24. 1.2004 18:27:22

Source

Journal of the American Society for Information Science and technology. 54(2003) no.13, S.1193-1222

0.014757427 = product of:
  0.029514855 = sum of:
    0.015353453 = weight(_text_:information in 6546) [ClassicSimilarity], result of:
      0.015353453 = score(doc=6546,freq=10.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.1734784 = fieldWeight in 6546, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.03125 = fieldNorm(doc=6546)
    0.014161401 = product of:
      0.028322803 = sum of:
        0.028322803 = weight(_text_:organization in 6546) [ClassicSimilarity], result of:
          0.028322803 = score(doc=6546,freq=2.0), product of:
            0.17974974 = queryWeight, product of:
              3.5653565 = idf(docFreq=3399, maxDocs=44218)
              0.050415643 = queryNorm
            0.15756798 = fieldWeight in 6546, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5653565 = idf(docFreq=3399, maxDocs=44218)
              0.03125 = fieldNorm(doc=6546)
      0.5 = coord(1/2)
  0.5 = coord(2/4)

Abstract

This research continues to explore the user's evaluation of Web search engines using a methodology proposed by Su (1997) and tested in a pilot study (Su, Chen, & Dong, 1998). It seeks to generate useful insight for system design and improvement, and for engine choice. The researchers were interested in how undergraduate students used four selected engines to retrieve information for their studies or personal interests and how they evaluated the interaction and search results retrieved by the four engines. Measures used were based on five evaluation criteria: relevance, efficiency, utility, user satisfaction, and connectivity. Thirty-six undergraduate juniors and seniors were recruited from the disciplines of sciences, social sciences and humanities. Each searched his/her own topic on all four engines in an assigned order and each made relevance judgements of retrieved items in relation to his/her information need or problem. The study found some significant differences among the four engines but none dominated in every aspect of the multidimensional evaluation. Alta Vista had the highest number of relevant and partially relevant documents, the best relative recall and the highest precision ratio based on PR1, Alter Vista had significantly better scores for these three measures than for Lycos. Infoseek had the highest satisfaction rating for response time. Both Infoseek and Excite had significantly higher satisfaction ratings for response time than Lycos. Excite had the best score for output display. Excite and Alta Vista had significantly better scores for output display than Lycos. Excite had the best rating for time saving while Alta Vista achieved the best score for value of search results as a whole and for overall performance. Alta Vista and Excite had significantly better ratings for these three measures than Lycos. Lycos achieved the best relevance ranking performance. Further work will provide more complete picture for engine comparison and choice by taking into account participant characteristics and identify factors contributing to the user's satisfaction to gain better insight for system design and improvement

Imprint

Medford, NJ : Information Today

Series

Proceedings of the American Society for Information Science; vol.36

Source

Knowledge: creation, organization and use. Proceedings of the 62nd Annual Meeting of the American Society for Information Science, 31.10.-4.11.1999. Ed.: L. Woods

0.005946367 = product of:
  0.023785468 = sum of:
    0.023785468 = weight(_text_:information in 4016) [ClassicSimilarity], result of:
      0.023785468 = score(doc=4016,freq=6.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.2687516 = fieldWeight in 4016, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0625 = fieldNorm(doc=4016)
  0.25 = coord(1/4)

Abstract

In der vorgestellten Studie aus dem Bereich des interaktiven Information Retrieval wurde erstmals die Erwartungshaltung von Suchmaschinennutzern als mögliche Determinante der Benutzerzufriedenheit untersucht. Das experimentelle Untersuchungsdesign basiert auf einem betriebswirtschaftlichen Modell, das die Entstehung von Kundenzufriedenheit durch die Bestätigung bzw. Nicht-Bestätigung von Erwartungen erklärt. Ein zentrales Ergebnis dieser Studie ist, das bei der Messung von Benutzerzufriedenheit besonders auf den Messzeitpunkt zu achten ist. Des Weiteren konnte ein von der Systemgüte abhängiger Adaptionseffekt hinsichtlich der Relevanzbewertung der Benutzer nachgewiesen werden.

Source

Information - Wissenschaft und Praxis. 61(2010) H.6/7, S.385-396

0.0056770155 = product of:
  0.022708062 = sum of:
    0.022708062 = weight(_text_:information in 967) [ClassicSimilarity], result of:
      0.022708062 = score(doc=967,freq=14.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.256578 = fieldWeight in 967, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0390625 = fieldNorm(doc=967)
  0.25 = coord(1/4)

Abstract

A user's single session with a Web search engine or information retrieval (IR) system may consist of seeking information on single or multiple topics, and switch between tasks or multitasking information behavior. Most Web search sessions consist of two queries of approximately two words. However, some Web search sessions consist of three or more queries. We present findings from two studies. First, a study of two-query search sessions on the AltaVista Web search engine, and second, a study of three or more query search sessions on the AltaVista Web search engine. We examine the degree of multitasking search and information task switching during these two sets of AltaVista Web search sessions. A sample of two-query and three or more query sessions were filtered from AltaVista transaction logs from 2002 and qualitatively analyzed. Sessions ranged in duration from less than a minute to a few hours. Findings include: (1) 81% of two-query sessions included multiple topics, (2) 91.3% of three or more query sessions included multiple topics, (3) there are a broad variety of topics in multitasking search sessions, and (4) three or more query sessions sometimes contained frequent topic changes. Multitasking is found to be a growing element in Web searching. This paper proposes an approach to interactive information retrieval (IR) contextually within a multitasking framework. The implications of our findings for Web design and further research are discussed.

Source

Information processing and management. 42(2006) no.1, S.264-275

0.005255895 = product of:
  0.02102358 = sum of:
    0.02102358 = weight(_text_:information in 5163) [ClassicSimilarity], result of:
      0.02102358 = score(doc=5163,freq=12.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.23754507 = fieldWeight in 5163, product of:
          3.4641016 = tf(freq=12.0), with freq of:
            12.0 = termFreq=12.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5163)
  0.25 = coord(1/4)

Abstract

This is the first part of a two-part article that reviews 25 years of published research findings on end-user searching in online information retrieval (IR) systems. In Part 1 (Markey, 2007), the author seeks to answer the following questions: What characterizes the queries that end users submit to online IR systems? What search features do people use? What features would enable them to improve on the retrievals they have in hand? What features are hardly ever used? What do end users do in response to the system's retrievals? Are end users satisfied with their online searches? Summarizing searches of online IR systems by the search features people use everyday makes information retrieval appear to be a very simplistic one-stop event. In Part 2, the author examines current models of the information retrieval process, demonstrating that information retrieval is much more complex and involves changes in cognition, feelings, and/or events during the information seeking process. She poses a host of new research questions that will further our understanding about end-user searching of online IR systems.

Source

Journal of the American Society for Information Science and Technology. 58(2007) no.8, S.1071-1081

0.005149705 = product of:
  0.02059882 = sum of:
    0.02059882 = weight(_text_:information in 3454) [ClassicSimilarity], result of:
      0.02059882 = score(doc=3454,freq=8.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.23274569 = fieldWeight in 3454, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=3454)
  0.25 = coord(1/4)

Abstract

Major Web search engines, such as AItaVista, are essential tools in the quest to locate online information. This article reports research that used transaction log analysis to examine the characteristics and changes in AItaVista Web searching that occurred from 1998 to 2002. The research questions we examined are (1) What are the changes in AItaVista Web searching from 1998 to 2002? (2) What are the current characteristics of AItaVista searching, including the duration and frequency of search sessions? (3) What changes in the information needs of AItaVista users occurred between 1998 and 2002? The results of our research show (1) a move toward more interactivity with increases in session and query length, (2) with 70% of session durations at 5 minutes or less, the frequency of interaction is increasing, but it is happening very quickly, and (3) a broadening range of Web searchers' information needs, with the most frequent terms accounting for less than 1% of total term usage. We discuss the implications of these findings for the development of Web search engines.

Source

Journal of the American Society for Information Science and Technology. 56(2005) no.6, S.559-570

0.005149705 = product of:
  0.02059882 = sum of:
    0.02059882 = weight(_text_:information in 4373) [ClassicSimilarity], result of:
      0.02059882 = score(doc=4373,freq=8.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.23274569 = fieldWeight in 4373, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=4373)
  0.25 = coord(1/4)

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.

Source

Journal of the American Society for Information Science and Technology. 62(2011) no.4, S.761-775

0.004797954 = product of:
  0.019191816 = sum of:
    0.019191816 = weight(_text_:information in 443) [ClassicSimilarity], result of:
      0.019191816 = score(doc=443,freq=10.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.21684799 = fieldWeight in 443, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0390625 = fieldNorm(doc=443)
  0.25 = coord(1/4)

Abstract

This is the second part of a two-part article that examines 25 years of published research findings on end-user searching of online information retrieval (IR) systems. In Part 1, it was learned that people enter a few short search statements into online IR systems. Their searches do not resemble the systematic approach of expert searchers who use the full range of IR-system functionality. Part 2 picks up the discussion of research findings about end-user searching in the context of current information retrieval models. These models demonstrate that information retrieval is a complex event, involving changes in cognition, feelings, and/or events during the information seeking process. The author challenges IR researchers to design new studies of end-user searching, collecting data not only on system-feature use, but on multiple search sessions and controlling for variables such as domain knowledge expertise and expert system knowledge. Because future IR systems designers are likely to improve the functionality of online IR systems in response to answers to the new research questions posed here, the author concludes with advice to these designers about retaining the simplicity of online IR system interfaces.

Source

Journal of the American Society for Information Science and Technology. 58(2007) no.8, S.1123-1130

0.0044597755 = product of:
  0.017839102 = sum of:
    0.017839102 = weight(_text_:information in 3112) [ClassicSimilarity], result of:
      0.017839102 = score(doc=3112,freq=6.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.20156369 = fieldWeight in 3112, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=3112)
  0.25 = coord(1/4)

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

0.0042914203 = product of:
  0.017165681 = sum of:
    0.017165681 = weight(_text_:information in 5164) [ClassicSimilarity], result of:
      0.017165681 = score(doc=5164,freq=8.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.19395474 = fieldWeight in 5164, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5164)
  0.25 = coord(1/4)

Abstract

The project proposes and tests a comprehensive and systematic model of user evaluation of Web search engines. The project contains two parts. Part I describes the background and the model including a set of criteria and measures, and a method for implementation. It includes a literature review for two periods. The early period (1995-1996) portrays the settings for developing the model and the later period (1997-2000) places two applications of the model among contemporary evaluation work. Part II presents one of the applications that investigated the evaluation of four major search engines by 36 undergraduates from three academic disciplines. It reports results from statistical analyses of quantitative data for the entire sample and among disciplines, and content analysis of verbal data containing users' reasons for satisfaction. The proposed model aims to provide systematic feedback to engine developers or service providers for system improvement and to generate useful insight for system design and tool choice. The model can be applied to evaluating other compatible information retrieval systems or information retrieval (IR) techniques. It intends to contribute to developing a theory of relevance that goes beyond topicality to include value and usefulness for designing user-oriented information retrieval systems.

Source

Journal of the American Society for Information Science and technology. 54(2003) no.13, S.1175-1192

0.0042914203 = product of:
  0.017165681 = sum of:
    0.017165681 = weight(_text_:information in 3752) [ClassicSimilarity], result of:
      0.017165681 = score(doc=3752,freq=8.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.19395474 = fieldWeight in 3752, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3752)
  0.25 = coord(1/4)

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

0.00424829 = product of:
  0.01699316 = sum of:
    0.01699316 = weight(_text_:information in 6561) [ClassicSimilarity], result of:
      0.01699316 = score(doc=6561,freq=4.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.1920054 = fieldWeight in 6561, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0546875 = fieldNorm(doc=6561)
  0.25 = coord(1/4)

Abstract

This project analyzed 541,920 user queries submitted to and executed in an academic Website during a four-year period (May 1997 to May 2001) using a relational database. The purpose of the study is three-fold: (1) to understand Web users' query behavior; (2) to identify problems encountered by these Web users; (3) to develop appropriate techniques for optimization of query analysis and mining. The linguistic analyses focus an query structures, lexicon, and word associations using statistical measures such as Zipf distribution and mutual information. A data model with finest granularity is used for data storage and iterative analyses. Patterns and trends of querying behavior are identified and compared with previous studies.

Source

Journal of the American Society for Information Science and technology. 54(2003) no.8, S.743-758

0.00424829 = product of:
  0.01699316 = sum of:
    0.01699316 = weight(_text_:information in 5186) [ClassicSimilarity], result of:
      0.01699316 = score(doc=5186,freq=4.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.1920054 = fieldWeight in 5186, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0546875 = fieldNorm(doc=5186)
  0.25 = coord(1/4)

Abstract

Jansen and Pooch review three major search engine studies and compare them to three traditional search system studies and three OPAC search studies, to determine if user search characteristics differ. The web search engine studies indicate that most searchers use two, two search term queries per session, no boolean operators, and look only at the top ten items returned, while reporting the location of relevant information. In traditional search systems we find seven to 16 queries of six to nine terms, while about ten documents per session were viewed. The OPAC studies indicated two to five queries per session of two or less terms, with Boolean search about 1% and less than 50 documents viewed.

Source

Journal of the American Society for Information Science and technology. 52(2001) no.3, S.235-246

0.0037164795 = product of:
  0.014865918 = sum of:
    0.014865918 = weight(_text_:information in 5583) [ClassicSimilarity], result of:
      0.014865918 = score(doc=5583,freq=6.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.16796975 = fieldWeight in 5583, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5583)
  0.25 = coord(1/4)

Abstract

This study reports the results of Part 11 of a research project that investigated the cognitive and physical behaviors of middle school students in using Yahooligans! Seventeen students in the seventh grade searched Yahooligans! to locate relevant information for an assigned research task. Sixty-nine percent partially succeeded, while 31 % failed. Children had difficulty completing the task mainly because they lacked adequate level of research skills and approached the task by seeking specific answers. Children's cognitive and physical behaviors varied by success levels. Similarities and differences in children's cognitive and physical behaviors were found between the research task and the factbased task they performed in the previous study. The present study considers the impact of prior experience in using the Web, domain knowledge, topic knowledge, and reading ability on children's success. It reports the overall patterns of children's behaviors, including searching and browsing moves, backtracking and looping moves, and navigational styles, as well as the time taken to complete the research task. Children expressed their information needs and provided recommendations for improving the interface design of Yahooligans! Implications for formal Web training and system design improvements are discussed

Source

Journal of the American Society for Information Science and technology. 52(2001) no.2, S.118-136

0.0037164795 = product of:
  0.014865918 = sum of:
    0.014865918 = weight(_text_:information in 4573) [ClassicSimilarity], result of:
      0.014865918 = score(doc=4573,freq=6.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.16796975 = fieldWeight in 4573, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4573)
  0.25 = coord(1/4)

Abstract

A large number of studies have investigated the transaction log of general-purpose search engines such as Excite and AItaVista, but few studies have reported an the analysis of search logs for search engines that are limited to particular Web sites, namely, Web site search engines. In this article, we report our research an analyzing the search logs of the search engine of the Utah state government Web site. Our results show that some statistics, such as the number of search terms per query, of Web users are the same for general-purpose search engines and Web site search engines, but others, such as the search topics and the terms used, are considerably different. Possible reasons for the differences include the focused domain of Web site search engines and users' different information needs. The findings are useful for Web site developers to improve the performance of their services provided an the Web and for researchers to conduct further research in this area. The analysis also can be applied in e-government research by investigating how information should be delivered to users in government Web sites.

Source

Journal of the American Society for Information Science and Technology. 56(2005) no.13, S.1363-1376

0.0036413912 = product of:
  0.014565565 = sum of:
    0.014565565 = weight(_text_:information in 2131) [ClassicSimilarity], result of:
      0.014565565 = score(doc=2131,freq=4.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.16457605 = fieldWeight in 2131, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=2131)
  0.25 = coord(1/4)

Abstract

Reports results of a study, conducted at Hawaii University, Department of Information and Computer Science, to understand the novide searchers' experience in learning to use a WWW search engine. Without prior searching instruction, undergraduate novives wrote structured self reports during their first session on a Web search engine. Users choose their own topics and followed written instructions that prompted them to describe thoughts and feelings during specified stages of the search; pre search formulation; search statement formulation; search strategy; and evaluation of the results. The sentences in the self reports were numbered and then coded according to their affective or cognitive function. The affective sentences reveal how users set goals and limit the scope of the cognitive operations. Search acts appear to be governed by an affective filter that organizes incoming information and provides criteria for ranking cognitive relevance to search goal. Content analysis identifies reasons users have for rating self confidence, stress level, satisfaction, usefulness, and success with future searches