Search (18 results, page 1 of 1)

0.032002483 = product of:
  0.048003722 = sum of:
    0.027719175 = weight(_text_:on in 2404) [ClassicSimilarity], result of:
      0.027719175 = score(doc=2404,freq=6.0), product of:
        0.109763056 = queryWeight, product of:
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.04990557 = queryNorm
        0.25253648 = fieldWeight in 2404, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.046875 = fieldNorm(doc=2404)
    0.020284547 = product of:
      0.040569093 = sum of:
        0.040569093 = weight(_text_:22 in 2404) [ClassicSimilarity], result of:
          0.040569093 = score(doc=2404,freq=2.0), product of:
            0.1747608 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.04990557 = queryNorm
            0.23214069 = fieldWeight in 2404, 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=2404)
      0.5 = coord(1/2)
  0.6666667 = coord(2/3)

Abstract

Reports on a study of the search tactics used in searching the WWW and in dealing with difficulties such as too many postings and no relevant postings. Describes how the study was carried out, the analytical techniques used in it, and the results. Notes that with regard to tactics used to address search difficulties, no differences were found between searchers for texts and those for graphic information, and between those for known items and subject searches. Comments on the similarities and differences between the tactics used and and those used in online searching, including online catalogue searching

Date

25.12.1998 19:22:31

Footnote

Part of an issue devoted to electronic resources and their use in libraries, from the viewpoint of reference services, with an emphasis on the Internet and Geographic Information Systems

0.01968091 = product of:
  0.05904273 = sum of:
    0.05904273 = weight(_text_:on in 2277) [ClassicSimilarity], result of:
      0.05904273 = score(doc=2277,freq=20.0), product of:
        0.109763056 = queryWeight, product of:
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.04990557 = queryNorm
        0.53791076 = fieldWeight in 2277, product of:
          4.472136 = tf(freq=20.0), with freq of:
            20.0 = termFreq=20.0
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.0546875 = fieldNorm(doc=2277)
  0.33333334 = coord(1/3)

Abstract

This article reviews studies, conducted between 1995 and 2000, on Web search behavior. These studies reported on children as well as on adults. Most of the studies on children described their interaction with the Web. Research on adult searchers focused on describing search patterns, and many studies investigated effects of selected factors on search behavior, including information organization and presentation, type of search task, Web experience, cognitive abilities, and affective states. What distinguishes the research on adult searchers is the use of multiple data-gathering methods. The research on Web search behavior reflects researchers' commitment to examine users in their information environment and exhibits rigor in design and data analysis. However, many studies lack external validity. Implications of this body of research are discussed.

0.0139165055 = product of:
  0.041749515 = sum of:
    0.041749515 = weight(_text_:on in 199) [ClassicSimilarity], result of:
      0.041749515 = score(doc=199,freq=10.0), product of:
        0.109763056 = queryWeight, product of:
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.04990557 = queryNorm
        0.38036036 = fieldWeight in 199, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.0546875 = fieldNorm(doc=199)
  0.33333334 = coord(1/3)

Abstract

Users' individual differences and tasks are important factors that influence the use of information systems. Two independent investigations were conducted to study the impact of differences in users' cognition and search tasks on Web search activities and outcomes. Strong task effects were found on search activities and outcomes, whereas interactions between cognitive and task variables were found on search activities only. These results imply that the flexibility of the Web and Web search engines allows different users to complete different search tasks successfully. However, the search techniques used and the efficiency of the searches appear to depend on how well the individual searcher fits with the specific task

0.010669115 = product of:
  0.032007344 = sum of:
    0.032007344 = weight(_text_:on in 3294) [ClassicSimilarity], result of:
      0.032007344 = score(doc=3294,freq=8.0), product of:
        0.109763056 = queryWeight, product of:
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.04990557 = queryNorm
        0.29160398 = fieldWeight in 3294, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.046875 = fieldNorm(doc=3294)
  0.33333334 = coord(1/3)

Abstract

This study focuses on the impact of age, prior domain knowledge and cognitive abilities on performance, query production and navigation strategies during information searching. Twenty older adults and nineteen young adults had to answer 12 information search problems of varying nature within two domain knowledge: health and manga. In each domain, participants had to perform two simple fact-finding problems (keywords provided and answer directly accessible on the search engine results page), two difficult fact-finding problems (keywords had to be inferred) and two open-ended information search problems (multiple answers possible and navigation necessary). Results showed that prior domain knowledge helped older adults improve navigation (i.e. reduced the number of webpages visited and thus decreased the feeling of disorientation), query production and reformulation (i.e. they formulated semantically more specific queries, and they inferred a greater number of new keywords).

0.010058938 = product of:
  0.030176813 = sum of:
    0.030176813 = weight(_text_:on in 2791) [ClassicSimilarity], result of:
      0.030176813 = score(doc=2791,freq=4.0), product of:
        0.109763056 = queryWeight, product of:
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.04990557 = queryNorm
        0.27492687 = fieldWeight in 2791, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.0625 = fieldNorm(doc=2791)
  0.33333334 = coord(1/3)

Abstract

Offers 10 tips for finding information on the Internet. Define the area and level of expertise. Require end users to complete a request form defining the query. Categorize the Internat in lay terms for casual users. Establich a realistic time for retrieving results. Adopt a disciplined, systematic approach to the search. Understand the operating platform and the major tools available. Maintain a file of important services and addresses and users. Develop bookmarks and home pages. Learn shortcuts. Participate in the Internet Hunt (a monthly series of questions that allows searchers to practice and perfect search skills)

0.008890929 = product of:
  0.026672786 = sum of:
    0.026672786 = weight(_text_:on in 198) [ClassicSimilarity], result of:
      0.026672786 = score(doc=198,freq=8.0), product of:
        0.109763056 = queryWeight, product of:
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.04990557 = queryNorm
        0.24300331 = fieldWeight in 198, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.0390625 = fieldNorm(doc=198)
  0.33333334 = coord(1/3)

Abstract

Conventional wisdom holds that queries to information retrieval systems will yield more relevant results if they contain multiple topic-related terms and use Boolean and phrase operators to enhance interpretation. Although studies have shown that the users of Web-based search engines typically enter short, term-based queries and rarely use search operators, little information exists concerning the effects of term and operator usage on the relevancy of search results. In this study, search engine users formulated queries on eight search topics. Each query was submitted to the user-specified search engine, and relevancy ratings for the retrieved pages were assigned. Expert-formulated queries were also submitted and provided a basis for comparing relevancy ratings across search engines. Data analysis based on our research model of the term and operator factors affecting relevancy was then conducted. The results show that the difference in the number of terms between expert and nonexpert searches, the percentage of matching terms between those searches, and the erroneous use of nonsupported operators in nonexpert searches explain most of the variation in the relevancy of search results. These findings highlight the need for designing search engine interfaces that provide greater support in the areas of term selection and operator usage

0.008890929 = product of:
  0.026672786 = sum of:
    0.026672786 = weight(_text_:on in 221) [ClassicSimilarity], result of:
      0.026672786 = score(doc=221,freq=8.0), product of:
        0.109763056 = queryWeight, product of:
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.04990557 = queryNorm
        0.24300331 = fieldWeight in 221, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.0390625 = fieldNorm(doc=221)
  0.33333334 = coord(1/3)

Abstract

In this article, we report results of an investigation into the effect of sponsored links on ecommerce information seeking on the Web. In this research, 56 participants each engaged in six ecommerce Web searching tasks. We extracted these tasks from the transaction log of a Web search engine, so they represent actual ecommerce searching information needs. Using 60 organic and 30 sponsored Web links, the quality of the Web search engine results was controlled by switching nonsponsored and sponsored links on half of the tasks for each participant. This allowed for investigating the bias toward sponsored links while controlling for quality of content. The study also investigated the relationship between searching self-efficacy, searching experience, types of ecommerce information needs, and the order of links on the viewing of sponsored links. Data included 2,453 interactions with links from result pages and 961 utterances evaluating these links. The results of the study indicate that there is a strong preference for nonsponsored links, with searchers viewing these results first more than 82% of the time. Searching self-efficacy and experience does not increase the likelihood of viewing sponsored links, and the order of the result listing does not appear to affect searcher evaluation of sponsored links. The implications for sponsored links as a long-term business model are discussed.

0.008890929 = product of:
  0.026672786 = sum of:
    0.026672786 = weight(_text_:on in 335) [ClassicSimilarity], result of:
      0.026672786 = score(doc=335,freq=8.0), product of:
        0.109763056 = queryWeight, product of:
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.04990557 = queryNorm
        0.24300331 = fieldWeight in 335, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.0390625 = fieldNorm(doc=335)
  0.33333334 = coord(1/3)

Abstract

Previous studies have examined various aspects of user behavior on the Web, including general information-seeking patterns, search engine use, and revisitation habits. Little research has been conducted to study how users navigate and interact with their Web browser across different information-seeking tasks. We have conducted a field study of 21 participants, in which we logged detailed Web usage and asked participants to provide task categorizations of their Web usage based on the following categories: Fact Finding, Information Gathering, Browsing, and Transactions. We used implicit measures logged during each task session to provide usage measures such as dwell time, number of pages viewed, and the use of specific browser navigation mechanisms. We also report on differences in how participants interacted with their Web browser across the range of information-seeking tasks. Within each type of task, we found several distinguishing characteristics. In particular, Information Gathering tasks were the most complex; participants spent more time completing this task, viewed more pages, and used the Web browser functions most heavily during this task. The results of this analysis have been used to provide implications for future support of information seeking on the Web as well as direction for future research in this area.

0.008890929 = product of:
  0.026672786 = sum of:
    0.026672786 = weight(_text_:on in 2565) [ClassicSimilarity], result of:
      0.026672786 = score(doc=2565,freq=8.0), product of:
        0.109763056 = queryWeight, product of:
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.04990557 = queryNorm
        0.24300331 = fieldWeight in 2565, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2565)
  0.33333334 = coord(1/3)

Abstract

Purpose - This paper aims to report a number of factors that are perceived by web users as influential elements in their search procedure. The paper introduces a new conceptual measure called "web search efficacy" (hereafter WSE) to evaluate the performance of searches mainly based on users' perceptions. Design/methodology/approach - A rich dataset of a wider study was inductively re-explored to identify different categories that are perceived influential by web users on the final outcome of their searches. A selective review of the literature was carried out to discover to what extent previous research supports the findings of the current study. Findings - The analysis of the dataset led to the identification of five categories of influential factors. Within each group different factors have been recognized. Accordingly, the concept of WSE has been introduced. The five "Ss" which determine WSE are searcher's performance, search tool's performance, search strategy, search topic, and search situation. Research limitations/implications - The research body is scattered in different areas and it is difficult to carry out a comprehensive review. The WSE table, which is derived from the empirical data and was supported by previous research, can be employed for further research in various groups of web users. Originality/value - The paper contributes to the area of information seeking on the web by providing researchers with a new conceptual framework to evaluate the efficiency of each search session and identify the underlying factors on the final outcome of web searching.

0.008711295 = product of:
  0.026133886 = sum of:
    0.026133886 = weight(_text_:on in 3412) [ClassicSimilarity], result of:
      0.026133886 = score(doc=3412,freq=12.0), product of:
        0.109763056 = queryWeight, product of:
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.04990557 = queryNorm
        0.23809364 = fieldWeight in 3412, product of:
          3.4641016 = tf(freq=12.0), with freq of:
            12.0 = termFreq=12.0
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.03125 = fieldNorm(doc=3412)
  0.33333334 = coord(1/3)

Abstract

Information extraction systems discover structured information in natural language text. Having information in structured form enables much richer querying and data mining than possible over the natural language text. However, information extraction is a computationally expensive task, and hence improving the efficiency of the extraction process over large text collections is of critical interest. In this paper, we focus on an especially valuable family of text collections, namely, the so-called deep-web text collections, whose contents are not crawlable and are only available via querying. Important steps for efficient information extraction over deep-web text collections (e.g., selecting the collections on which to focus the extraction effort, based on their contents; or learning which documents within these collections-and in which order-to process, based on their words and phrases) require having a representative document sample from each collection. These document samples have to be collected by querying the deep-web text collections, an expensive process that renders impractical the existing sampling approaches developed for other data scenarios. In this paper, we systematically study the space of query-based document sampling techniques for information extraction over the deep web. Specifically, we consider (i) alternative query execution schedules, which vary on how they account for the query effectiveness, and (ii) alternative document retrieval and processing schedules, which vary on how they distribute the extraction effort over documents. We report the results of the first large-scale experimental evaluation of sampling techniques for information extraction over the deep web. Our results show the merits and limitations of the alternative query execution and document retrieval and processing strategies, and provide a roadmap for addressing this critically important building block for efficient, scalable information extraction.

0.007112743 = product of:
  0.021338228 = sum of:
    0.021338228 = weight(_text_:on in 1664) [ClassicSimilarity], result of:
      0.021338228 = score(doc=1664,freq=2.0), product of:
        0.109763056 = queryWeight, product of:
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.04990557 = queryNorm
        0.19440265 = fieldWeight in 1664, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.0625 = fieldNorm(doc=1664)
  0.33333334 = coord(1/3)

Abstract

Many information professionals still seem loathe to conduct searches on the Internet, preferring instead to continue to use commercial, proprietary systems. Compares the characteristics and advantages of search strategies for traditional databases with those for the Internet. Discusses future developments in Internet search engines and concludes that the merger of commercial database expertise with Internet technology and accessibility will enrich and simplify the end user's expectation

0.0062868367 = product of:
  0.01886051 = sum of:
    0.01886051 = weight(_text_:on in 194) [ClassicSimilarity], result of:
      0.01886051 = score(doc=194,freq=4.0), product of:
        0.109763056 = queryWeight, product of:
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.04990557 = queryNorm
        0.1718293 = fieldWeight in 194, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.0390625 = fieldNorm(doc=194)
  0.33333334 = coord(1/3)

Source

Exploring the contexts of information behaviour: Proceedings of the 2nd International Conference on Research in Information Needs, Seeking and Use in Different Contexts, 13-15 August 1998, Sheffield, UK. Ed. by D.K. Wilson u. D.K. Allen

0.0062868367 = product of:
  0.01886051 = sum of:
    0.01886051 = weight(_text_:on in 283) [ClassicSimilarity], result of:
      0.01886051 = score(doc=283,freq=4.0), product of:
        0.109763056 = queryWeight, product of:
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.04990557 = queryNorm
        0.1718293 = fieldWeight in 283, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.0390625 = fieldNorm(doc=283)
  0.33333334 = coord(1/3)

Abstract

As a result of the Internet, electronic networks occupy a more visible place in everyday life. Until the early nineties, the use of electronic networks was limited to a rather small number of people working in enterprises and universities. Since then, the networks have become more accessible for other citizens. Currently at least 60-70 million people all over the world are estimated to use the Internet (Gaines et al., 1997: 990). In 2000, the number of WWW users alone is expected to reach 160 million (Aldridge & Darwood 1997: 283). The rapid growth of network use has given rise to a lot of research needs. For example, what are the main purposes of network use and to what extent may the Internet replace other channels in information seeking? Thus far, the utilization of networks has been mainly surveyed in the USA but, in recent years issues of use have also attracted increasing attention in Western Europe. This study is a continuation of a research project focusing on the ways in which citizens seek information in the context of everyday life (see Savolainen 1995). An attempt is made to analyze how citizens utilize the electronic networks, primarily for non-work purposes. This paper communicates part of an empirical study; a detailed report is available in Finnish (Savolainen 1998b).

Source

Exploring the contexts of information behaviour: Proceedings of the 2nd International Conference on Research in Information Needs, Seeking and Use in Different Contexts, 13-15 August 1998, Sheffield, UK. Ed. by D.K. Wilson u. D.K. Allen

0.0062868367 = product of:
  0.01886051 = sum of:
    0.01886051 = weight(_text_:on in 587) [ClassicSimilarity], result of:
      0.01886051 = score(doc=587,freq=4.0), product of:
        0.109763056 = queryWeight, product of:
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.04990557 = queryNorm
        0.1718293 = fieldWeight in 587, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.0390625 = fieldNorm(doc=587)
  0.33333334 = coord(1/3)

Abstract

Subject content analysis of Web query terms is essential to understand Web searching interests. Such analysis includes exploring search topics and observing changes in their frequency distributions with time. To provide a basis for in-depth analysis of users' search interests on a larger scale, this article presents a query categorization approach to automatically classifying Web query terms into broad subject categories. Because a query is short in length and simple in structure, its intended subject(s) of search is difficult to judge. Our approach, therefore, combines the search processes of real-world search engines to obtain highly ranked Web documents based on each unknown query term. These documents are used to extract cooccurring terms and to create a feature set. An effective ranking function has also been developed to find the most appropriate categories. Three search engine logs in Taiwan were collected and tested. They contained over 5 million queries from different periods of time. The achieved performance is quite encouraging compared with that of human categorization. The experimental results demonstrate that the approach is efficient in dealing with large numbers of queries and adaptable to the dynamic Web environment. Through good integration of human and machine efforts, the frequency distributions of subject categories in response to changes in users' search interests can be systematically observed in real time. The approach has also shown potential for use in various information retrieval applications, and provides a basis for further Web searching studies.

0.0062868367 = product of:
  0.01886051 = sum of:
    0.01886051 = weight(_text_:on in 615) [ClassicSimilarity], result of:
      0.01886051 = score(doc=615,freq=4.0), product of:
        0.109763056 = queryWeight, product of:
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.04990557 = queryNorm
        0.1718293 = fieldWeight in 615, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.0390625 = fieldNorm(doc=615)
  0.33333334 = coord(1/3)

Abstract

Purpose - A common criticism of research into information seeking on the internet is that information seekers are restricted by the demands of the researcher. Another criticism is that the search topics, are often imposed by the researcher, and; particularly when working with children, domain knowledge could be as important as information-seeking skills. The research reported here attempts to address both these problems. Design/methodology/approach - A total of 15 children, aged 11 to 16, were each set three "think aloud" internet searches. In the first, they were asked to recall the last time they had sought information on the internet, and to repeat the search. For the second, they were given a word, asked to interpret it, then asked to search for their interpretation. For the third, they were asked to recall the last time they had been unsuccessful in a search, and to repeat the search. While performing each task, the children were encouraged to explain their actions. Findings - The paper finds that the factors that determined a child's ability to search successfully appeared to be: the amount of experience the child had of using the internet; the amount of guidance, both from adults and from peers; and the child's ability to explore the virtual environment, and to use the tools available for so doing. Originality/value - Many of the searches performed by participants in this paper were not related to schoolwork, and so some of the search approaches differed from those taught by teachers. Instead, they evolved through exploration and exchange of ideas. Further studies of this sort could provide insights of value to designers of web environments.

0.0045076776 = product of:
  0.013523032 = sum of:
    0.013523032 = product of:
      0.027046064 = sum of:
        0.027046064 = weight(_text_:22 in 1188) [ClassicSimilarity], result of:
          0.027046064 = score(doc=1188,freq=2.0), product of:
            0.1747608 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.04990557 = queryNorm
            0.15476047 = fieldWeight in 1188, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03125 = fieldNorm(doc=1188)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)

Date

22. 9.1997 19:16:05

0.0044454644 = product of:
  0.013336393 = sum of:
    0.013336393 = weight(_text_:on in 5119) [ClassicSimilarity], result of:
      0.013336393 = score(doc=5119,freq=2.0), product of:
        0.109763056 = queryWeight, product of:
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.04990557 = queryNorm
        0.121501654 = fieldWeight in 5119, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5119)
  0.33333334 = coord(1/3)

Abstract

Adapting the consumer behavior selectivity model to the Web environment, this paper's key contribution is the introduction of a self-concept orientation model of Web information seeking. This model, which addresses gender, effort, and information content factors, questions the commonly assumed equivalence of sex and gender by specifying the measurement of gender-related selfconcept traits known as self- and other-orientation. Regression analyses identified associations between self-orientation, other-orientation, and self-reported search frequencies for content with identical subject domain (e.g., medical information, government information) and differing relevance (i.e., important to the individual personally versus important to someone close to him or her). Self- and other-orientation interacted such that when individuals were highly self-oriented, their frequency of search for both self- and other-relevant information depended on their level of other-orientation. Specifically, high-self/high-other individuals, with a comprehensive processing strategy, searched most often, whereas high-self/low-other respondents, with an effort minimization strategy, reported the lowest search frequencies. This interaction pattern was even more pronounced for other-relevant information seeking. We found no sex differences in search frequency for either self-relevant or other-relevant information.

0.0044454644 = product of:
  0.013336393 = sum of:
    0.013336393 = weight(_text_:on in 5945) [ClassicSimilarity], result of:
      0.013336393 = score(doc=5945,freq=2.0), product of:
        0.109763056 = queryWeight, product of:
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.04990557 = queryNorm
        0.121501654 = fieldWeight in 5945, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5945)
  0.33333334 = coord(1/3)

Abstract

In using the Internet to solve everyday problems, older adults tend to find fewer correct answers compared to younger adults. Some authors have argued that these differences could be explained by age-related decline. The present study aimed to analyze the relationship between web-searching navigation and users' age, considering the Intelligence Quotient (IQ) and frequency of Internet and personal computer use. The intent was to identify differences due to age and not to other variables (that is, cognitive decline, expertise with the tool). Eighteen students (18-30?years) and 18 older adults (60-75?years) took part in the experiment. Inclusion criteria were the frequent use of computers and a web-searching activity; the older adults performed the Mini-Mental State Examination to exclude cognitive impairment. Participants were requested to perform the Kaufman Brief Intelligence Test 2nd ed. to measure their IQ level, and nine everyday web-searching tasks of differing complexity. The results showed that older participants spent more time on solving tasks than younger participants, but with the same accuracy as young people. Furthermore, nonverbal IQ improved performance in terms of time among the older participants. Age did not influence web-searching behavior in users with normal expertise and intelligence.