Search (24 results, page 1 of 2)

0.044585004 = product of:
  0.11146251 = sum of:
    0.062146567 = weight(_text_:index in 577) [ClassicSimilarity], result of:
      0.062146567 = score(doc=577,freq=6.0), product of:
        0.18579477 = queryWeight, product of:
          4.369764 = idf(docFreq=1520, maxDocs=44218)
          0.04251826 = queryNorm
        0.3344904 = fieldWeight in 577, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          4.369764 = idf(docFreq=1520, maxDocs=44218)
          0.03125 = fieldNorm(doc=577)
    0.049315944 = weight(_text_:system in 577) [ClassicSimilarity], result of:
      0.049315944 = score(doc=577,freq=14.0), product of:
        0.13391352 = queryWeight, product of:
          3.1495528 = idf(docFreq=5152, maxDocs=44218)
          0.04251826 = queryNorm
        0.36826712 = fieldWeight in 577, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          3.1495528 = idf(docFreq=5152, maxDocs=44218)
          0.03125 = fieldNorm(doc=577)
  0.4 = coord(2/5)

Abstract

Users move from one state (or task) to another in an information system's labyrinth as they try to accomplish their work, and the amount of time they spend in each state varies. This article uses continuous-time stochastic models, mainly based on semi-Markov chains, to derive user state transition patterns (both in rates and in probabilities) in a Web-based information system. The methodology was demonstrated with 126,925 search sessions drawn from the transaction logs of the University of California's MELVYL® library catalog system (www.melvyLucop.edu). First, user sessions were categorized into six groups based on their similar use of the system. Second, by using a three-layer hierarchical taxonomy of the system Web pages, user sessions in each usage group were transformed into a sequence of states. All the usage groups but one have third-order sequential dependency in state transitions. The sole exception has fourth-order sequential dependency. The transition rates as well as transition probabilities of the semi-Markov model provide a background for interpreting user behavior probabilistically, at various levels of detail. Finally, the differences in derived usage patterns between usage groups were tested statistically. The test results showed that different groups have distinct patterns of system use. Knowledge of the extent of sequential dependency is beneficial because it allows one to predict a user's next move in a search space based on the past moves that have been made. It can also be used to help customize the design of the user interface to the system to facilitate interaction. The group CL6 labeled "knowledgeable and sophisticated usage" and the group CL7 labeled "unsophisticated usage" both had third-order sequential dependency and had the same most-frequently occurring search pattern: screen display, record display, screen display, and record display. The group CL8 called "highly interactive use with good search results" had fourth-order sequential dependency, and its most frequently occurring pattern was the same as CL6 and CL7 with one more screen display action added. The group CL13, called "known-item searching" had third-order sequential dependency, and its most frequently occurring pattern was index access, search with retrievals, screen display, and record display. Group CL14 called "help intensive searching," and CL18 called "relatively unsuccessful" both had thirdorder sequential dependency, and for both groups the most frequently occurring pattern was index access, search without retrievals, index access, and again, search without retrievals.

0.0215282 = product of:
  0.107641 = sum of:
    0.107641 = weight(_text_:index in 5482) [ClassicSimilarity], result of:
      0.107641 = score(doc=5482,freq=8.0), product of:
        0.18579477 = queryWeight, product of:
          4.369764 = idf(docFreq=1520, maxDocs=44218)
          0.04251826 = queryNorm
        0.5793543 = fieldWeight in 5482, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          4.369764 = idf(docFreq=1520, maxDocs=44218)
          0.046875 = fieldNorm(doc=5482)
  0.2 = coord(1/5)

Abstract

The paper presents the results of a study on usability methods for evaluating Web sites. It summarizes the "Heuristics for Web Communications," and reports the practical experiences with these heuristics, contrasting them with the "Keevil Index" and combining them with user testing with thinking aloud. It concludes that working with the "Heuristics for Web Communications" takes more time and effort than working with the "Keevil Index," but produces more consistent results. The heuristics proved to be applicable both in heuristic evaluation and in combination with user testing.

Content

Der Beitrag präsentiert eine Studie über Evaluationsmethoden zur WebUsability. Er beschreibt die "Heuristics for Web Communications" und berichtet von den praktischen Erfahrungen mit den Heuristiken, die mit dem "Keevil Index" verglichen und mit Benutzertests mit lautem Denken kombiniert werden. Das Ergebnis zeigt, dass eine Evaluation mit den beschriebenen Heuristiken gegenüber dem "Keevil Index" mehr Zeit und Aufwand erfordert, aber konsistentere Ergebnisse bringt. Die Heuristiken haben sich sowohl in der experten-zentrierten Evaluation als auch in Kombination mit dem Benutzertest insgesamt als geeignete Evaluationsmethode erwiesen

0.020057717 = product of:
  0.100288585 = sum of:
    0.100288585 = weight(_text_:index in 5158) [ClassicSimilarity], result of:
      0.100288585 = score(doc=5158,freq=10.0), product of:
        0.18579477 = queryWeight, product of:
          4.369764 = idf(docFreq=1520, maxDocs=44218)
          0.04251826 = queryNorm
        0.5397815 = fieldWeight in 5158, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          4.369764 = idf(docFreq=1520, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5158)
  0.2 = coord(1/5)

Abstract

Usability of Web sites has become an increasingly important area of research as Web sites proliferate and problems with use are noted. Generally, aspects of Web sites that have been investigated focus on such areas as overall design and navigation. The exploratory study reported on here investigates one specific component of a Web site-the index structure. By employing index usability metrics developed by Liddy and Jörgensen (1993; Jörgensen & Liddy, 1996) and modified to accommodate a hypertext environment, the study compared the effectiveness and efficiency of 20 subjects who used one existing index (the A-Z index on the FedStats Web site at http://www.fedstats.gov) and three experimental variants to complete five researcher-generated tasks. User satisfaction with the indexes was also evaluated. The findings indicate that a hypertext index with multiple access points for each concept, all linked to the same resource, led to greater effectiveness and efficiency of retrieval on almost all measures. Satisfaction measures were more variable. The study offers insight into potential improvements in the design of Web-based indexes and provides preliminary assessment of the validity of the measures employed

0.013195123 = product of:
  0.032987807 = sum of:
    0.023299592 = weight(_text_:system in 5584) [ClassicSimilarity], result of:
      0.023299592 = score(doc=5584,freq=2.0), product of:
        0.13391352 = queryWeight, product of:
          3.1495528 = idf(docFreq=5152, maxDocs=44218)
          0.04251826 = queryNorm
        0.17398985 = fieldWeight in 5584, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.1495528 = idf(docFreq=5152, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5584)
    0.009688215 = product of:
      0.029064644 = sum of:
        0.029064644 = weight(_text_:29 in 5584) [ClassicSimilarity], result of:
          0.029064644 = score(doc=5584,freq=2.0), product of:
            0.14956595 = queryWeight, product of:
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.04251826 = queryNorm
            0.19432661 = fieldWeight in 5584, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5584)
      0.33333334 = coord(1/3)
  0.4 = coord(2/5)

Abstract

This article reports on a model and patterns of use of a library catalog that can be accessed through the Internet. Three categories of users are identified. individuals who perform a search of the catalog, tourists who look only at opening pages of the library catalog's site, and Web spiders that come to the site to obtain pages for indexing the Web. A number of types of use activities are also identified, and can be grouped with the presearch phase (which takes place before any searching begins): the search phase, the display phase (in which users display the results of their search), and phases in which users make errors, ask the system for help or assistance, and take other actions. An empirical investigation of patterns of use of a university Web-based library catalog was conducted for 479 days. During that period, the characteristics of about 2.5 million sessions were recorded and analyzed, and usage trends were identified. Of the total, 62% of the sessions were for users who performed a search, 27% were from spiders, and 11% were for tourists. During the study period, the average search session lasted about 5 minutes when the study began and had increased to about 10 minutes 16 months later. An average search consisted of about 1.5 presearch actions lasting about 25 seconds, about 5.3 display actions, and 2.5 searches per session. The latter two categories are in the range of 35-37 seconds per session each. There were major differences in usage (number of searches, search time, number of display actions, and display time), depending upon the database accessed

Date

29. 9.2001 13:59:04

0.009683615 = product of:
  0.04841807 = sum of:
    0.04841807 = weight(_text_:context in 897) [ClassicSimilarity], result of:
      0.04841807 = score(doc=897,freq=2.0), product of:
        0.17622331 = queryWeight, product of:
          4.14465 = idf(docFreq=1904, maxDocs=44218)
          0.04251826 = queryNorm
        0.27475408 = fieldWeight in 897, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.14465 = idf(docFreq=1904, maxDocs=44218)
          0.046875 = fieldNorm(doc=897)
  0.2 = coord(1/5)

Abstract

Finding information an the Web can be a much more complex search process than previously experienced an many pre-Web information retrieval systems given that finding content online does not have to happen via a search algorithm typed into a search field. Rather, the Web allows for a myriad of search strategies. Although there are numerous studies of Web search techniques, these studies often limit their focus to just one part of the search process and are not based an the behavior of the general user population, nor do they include information about the users. To remedy these shortcomings, this project looks at how peopie find information online in the context of their other media use, their general Internet use patterns, in addition to using information about their demographic background and social support networks. This article describes the methodology in detail, and suggests that a mix of survey instruments and in-person observations can yield the type of rich data set that is necessary to understand in depth the differences in people's information retrieval behavior online.

0.009683615 = product of:
  0.04841807 = sum of:
    0.04841807 = weight(_text_:context in 2246) [ClassicSimilarity], result of:
      0.04841807 = score(doc=2246,freq=2.0), product of:
        0.17622331 = queryWeight, product of:
          4.14465 = idf(docFreq=1904, maxDocs=44218)
          0.04251826 = queryNorm
        0.27475408 = fieldWeight in 2246, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.14465 = idf(docFreq=1904, maxDocs=44218)
          0.046875 = fieldNorm(doc=2246)
  0.2 = coord(1/5)

Abstract

As more people gain at-home access to the Internet, information seeking an the Web has become embedded in everyday life. The objective of this study was to characterize the home as an information use environment and to identify a range of information seeking and Websearch behaviors at home. Twelve Northern California residents were recruited, and the data were collected through semi-structured at-home interviews based an a self-reported Search Activities Diary that subjects kept over a 3-5 day period. The data were analyzed an four levels: home environment, information seeking goals, information retrieval interaction, and search query. Eindings indicated that the home, indeed, provided a distinct information use environment beyond physical setting alone in which the subjects used the Web for diverse purposes and interests. Based an the findings, the relationships among home environment, Web context, and interaction situation were identified with respect to user goals and information-seeking behaviors.

0.009683615 = product of:
  0.04841807 = sum of:
    0.04841807 = weight(_text_:context in 5255) [ClassicSimilarity], result of:
      0.04841807 = score(doc=5255,freq=2.0), product of:
        0.17622331 = queryWeight, product of:
          4.14465 = idf(docFreq=1904, maxDocs=44218)
          0.04251826 = queryNorm
        0.27475408 = fieldWeight in 5255, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.14465 = idf(docFreq=1904, maxDocs=44218)
          0.046875 = fieldNorm(doc=5255)
  0.2 = coord(1/5)

Abstract

In this article, we investigate the criteria used by online searchers when assessing the relevance of Web pages for information-seeking tasks. Twenty-four participants were given three tasks each, and they indicated the Features of Web pages that they used when deciding about the usefulness of the pages in relation to the tasks. These tasks were presented within the context of a simulated work-task situation. We investigated the relative utility of features identified by participants (Web page content, structure, and quality) and how the importance of these features is affected by the type of information-seeking task performed and the stage of the search. The results of this study provide a set of criteria used by searchers to decide about the utility of Web pages for different types of tasks. Such criteria can have implications for the design of systems that use or recommend Web pages.

0.009683615 = product of:
  0.04841807 = sum of:
    0.04841807 = weight(_text_:context in 431) [ClassicSimilarity], result of:
      0.04841807 = score(doc=431,freq=2.0), product of:
        0.17622331 = queryWeight, product of:
          4.14465 = idf(docFreq=1904, maxDocs=44218)
          0.04251826 = queryNorm
        0.27475408 = fieldWeight in 431, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.14465 = idf(docFreq=1904, maxDocs=44218)
          0.046875 = fieldNorm(doc=431)
  0.2 = coord(1/5)

Abstract

This study examines the influence of time constraints on Internet and Web search goals and search behavior. Specifically, it looks at the searching behavior of public library Internet users who, previously limited to 30 minutes per Internet session, are given an unlimited amount of time for use. Interviews and observations were conducted with 34 participants searching on their own queries. Despite an increase in the time allowed for searching, most people spent less than 30 minutes on the Internet, carrying out tasks like paying bills, shopping, browsing, and making reservations. Those who took more than 30 minutes were looking for jobs or browsing. E-mail use was universal. In this context, influences like time-dependent and time-independent tasks, use of search hubs to perform more efficient searches, and search diversity were recorded. Though there are a number of large and small studies of Internet and Web use, few of them focus on temporal influences. This study extends knowledge in this area of inquiry.

0.009683615 = product of:
  0.04841807 = sum of:
    0.04841807 = weight(_text_:context in 1336) [ClassicSimilarity], result of:
      0.04841807 = score(doc=1336,freq=2.0), product of:
        0.17622331 = queryWeight, product of:
          4.14465 = idf(docFreq=1904, maxDocs=44218)
          0.04251826 = queryNorm
        0.27475408 = fieldWeight in 1336, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.14465 = idf(docFreq=1904, maxDocs=44218)
          0.046875 = fieldNorm(doc=1336)
  0.2 = coord(1/5)

Abstract

According to many studies, social network sites (SNS) have become some of the most popular online destinations. It has been pointed out that very little is known about the psychosocial variables that predict people's use of these websites. In this article, our general objective is to understand behavioral intentions to use SNS employing the well-known unified theory of acceptance and use of technology (UTAUT), which has been validated in a number of studies. Data were collected through a questionnaire survey from a final sample of 1,039 social networking website users in Africa. We have shown that there are contexts, such as the African context, in which the UTAUT does not hold up. Explanations are provided to support the findings.

0.0092261685 = product of:
  0.04613084 = sum of:
    0.04613084 = weight(_text_:system in 769) [ClassicSimilarity], result of:
      0.04613084 = score(doc=769,freq=4.0), product of:
        0.13391352 = queryWeight, product of:
          3.1495528 = idf(docFreq=5152, maxDocs=44218)
          0.04251826 = queryNorm
        0.34448233 = fieldWeight in 769, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.1495528 = idf(docFreq=5152, maxDocs=44218)
          0.0546875 = fieldNorm(doc=769)
  0.2 = coord(1/5)

Abstract

Increased enrollments, changing student expectations, and shifting patterns of Internet access and usage continue to generate resource and administrative challenges for colleges and universities. Computer center staff and college administrators must balance increased access demands, changing system loads, and system security within constrained resources. To assess the changing academic computing environment, computer center directors from several geographic regions were asked to respond to an online questionnaire that assessed patterns of usage, resource allocation, policy formulation, and threats. Survey results were compared with data from a study conducted by the authors in 1999. The analysis includes changing patterns in Internet usage, access, and supervision. The paper also presents details of usage by institutional type and application as well as recommendations for more precise resource assessment by college administrators.

0.008069678 = product of:
  0.040348392 = sum of:
    0.040348392 = weight(_text_:context in 6714) [ClassicSimilarity], result of:
      0.040348392 = score(doc=6714,freq=2.0), product of:
        0.17622331 = queryWeight, product of:
          4.14465 = idf(docFreq=1904, maxDocs=44218)
          0.04251826 = queryNorm
        0.22896172 = fieldWeight in 6714, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.14465 = idf(docFreq=1904, maxDocs=44218)
          0.0390625 = fieldNorm(doc=6714)
  0.2 = coord(1/5)

Abstract

In this paper, we report on the second part of an empirical study designed to observe how users interact with World Wide Web resources. Applying a holistic approach, the researches examine users' cognitive, affective, and physical behaviors during user-Web interaction in order to understand better the nature of information retrieval on the Web, the needs of Web users, and the problem-solving strategies Web users employ. From analyses and the participant verbalizations collected during monitored searches, the researchers developed a taxonomy of problem solving strategies. The coding scheme was developed based on a content analysis of the integrated process data. Information from triangulation follow-up with participants via anonymously completed questionnaires, the taxonomy, and analyses of search transcripts were collected to determine 1) what problems users encountered during the interaction and how users solved these problems; and 2) which problem-solving strategies Web users considered and selected for finding factual information. The focus of the coding was on the participants' cognitive, affective, and physical behaviors in response to the components of the problems encountered, which included problems of the following types: Web interfaces, users' mental models, and the Web information sources. Searching behavior and problem-solving patterns are described and interpreted within the relevant situational context and the problems users encountered are identified and analyzed. Both the problems users faced and their problem-solving approaches endeavored evidence a strong reliance on mental models of the features available on sites, the location of those features, and other interface design concepts

0.007908144 = product of:
  0.03954072 = sum of:
    0.03954072 = weight(_text_:system in 4433) [ClassicSimilarity], result of:
      0.03954072 = score(doc=4433,freq=4.0), product of:
        0.13391352 = queryWeight, product of:
          3.1495528 = idf(docFreq=5152, maxDocs=44218)
          0.04251826 = queryNorm
        0.29527056 = fieldWeight in 4433, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.1495528 = idf(docFreq=5152, maxDocs=44218)
          0.046875 = fieldNorm(doc=4433)
  0.2 = coord(1/5)

Abstract

The Alexandria Digital Library (ADL) is one of the 6 digital library projects funded by NSF, DARPA, and NASA. ADL's collection and services focus on information containing georeferences: maps, images, data sets, text and other information sources with links to geographic locations. During this study period, 3 different user interfaces were developed and tested by user groups. User feedback was collected through various formal and informal approaches and the results fed back into the design and implementation cycle. This article describes the evolution of the ADL system and the effect of user evaluation on that evolution. ADL is an ongoing project; user feedback and evaluation plans for the remainder of the project are described

0.006523886 = product of:
  0.03261943 = sum of:
    0.03261943 = weight(_text_:system in 2023) [ClassicSimilarity], result of:
      0.03261943 = score(doc=2023,freq=2.0), product of:
        0.13391352 = queryWeight, product of:
          3.1495528 = idf(docFreq=5152, maxDocs=44218)
          0.04251826 = queryNorm
        0.2435858 = fieldWeight in 2023, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.1495528 = idf(docFreq=5152, maxDocs=44218)
          0.0546875 = fieldNorm(doc=2023)
  0.2 = coord(1/5)

Abstract

Internet use research has focused on user surveys and novice learner studies, using survey, experimental, and ethnographic methods. They share a focus on user-based categories in the affective and cognitve domains. Information behaviour has an affective component that influences the direction of cognitive processing through hierarchically organized goals, characterized by both an individual and a cultural component. Research in human-computer interaction is evolving a user-centred methodology for system design and instruction that focuses on integrating affective and cognitive user variables to increase productivity, creativity, and human growth

0.0055919024 = product of:
  0.027959513 = sum of:
    0.027959513 = weight(_text_:system in 1547) [ClassicSimilarity], result of:
      0.027959513 = score(doc=1547,freq=2.0), product of:
        0.13391352 = queryWeight, product of:
          3.1495528 = idf(docFreq=5152, maxDocs=44218)
          0.04251826 = queryNorm
        0.20878783 = fieldWeight in 1547, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.1495528 = idf(docFreq=5152, maxDocs=44218)
          0.046875 = fieldNorm(doc=1547)
  0.2 = coord(1/5)

Abstract

Examines the problem of a compelling online news delivery system by focusing on how mass media audiences and online users differ in their assessment of news. It employed a 2-wave USA national survey to study the perception of interactivity in mass media and computer networks and its relationship to the assessment of news. The 1st wave looked a national probability sample, ahile the 2nd targeted viewers of NBC Nightly News who responded to the show via e-mail. NBC respondents rated mass media to be less interactive, while they rated computer communication more interactive than the national sample. The NBC group also rated mass media news less important and of lower quality than did the national sample. Interactivity ratings did not predict mass media credibility assessment for either group. However, respondents who defined interactivity as cybernetic feedback or who contacted NBC by e-mail rated computer communication to be more credible than thos who did not

0.0055919024 = product of:
  0.027959513 = sum of:
    0.027959513 = weight(_text_:system in 2949) [ClassicSimilarity], result of:
      0.027959513 = score(doc=2949,freq=2.0), product of:
        0.13391352 = queryWeight, product of:
          3.1495528 = idf(docFreq=5152, maxDocs=44218)
          0.04251826 = queryNorm
        0.20878783 = fieldWeight in 2949, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.1495528 = idf(docFreq=5152, maxDocs=44218)
          0.046875 = fieldNorm(doc=2949)
  0.2 = coord(1/5)

Abstract

This article analyzes Web searching behavior for homework assignments of high school students through field observations in class and the terminal with students thinking alound, and through interviews with various participants, including the teacher and librarian. Students performed focused searching and progressed through a search swiftly and flexibly. They used landmarks and assumed that one can always start a new search and ask for help. They were satisfied with their searches and the results, but impatient with slow response. The students enjoyed searching the Web because it had a variety of formats, it showed pictures, it covered a multitude of subjects and it provided easy access to information. Difficulties and problems students encountered emphasize the need for training to all involved, and for a system design that is based on user seeking and searching behavior

0.0055919024 = product of:
  0.027959513 = sum of:
    0.027959513 = weight(_text_:system in 2261) [ClassicSimilarity], result of:
      0.027959513 = score(doc=2261,freq=2.0), product of:
        0.13391352 = queryWeight, product of:
          3.1495528 = idf(docFreq=5152, maxDocs=44218)
          0.04251826 = queryNorm
        0.20878783 = fieldWeight in 2261, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.1495528 = idf(docFreq=5152, maxDocs=44218)
          0.046875 = fieldNorm(doc=2261)
  0.2 = coord(1/5)

Abstract

The emergence of information portal systems in the past few years has led to a greatly enhanced Web-based environment for users seeking information online. While considerable research has been conducted an user information-seeking behavior in regular IR environments over the past decade, this paper focuses specifically an how users in a medical science and clinical setting carry out their daily information seeking through a customizable information portal system (MyWelch). We describe our initial study an analyzing Web usage data from MyWelch to see whether the results conform to the features and patterns established in current information-seeking models, present several observations regarding user information-seeking behavior in a portal environment, outline possible long-term user information-seeking patterns based an usage data, and discuss the direction of future research an user information-seeking behavior in the MyWelch portal environment.

0.0055919024 = product of:
  0.027959513 = sum of:
    0.027959513 = weight(_text_:system in 3103) [ClassicSimilarity], result of:
      0.027959513 = score(doc=3103,freq=2.0), product of:
        0.13391352 = queryWeight, product of:
          3.1495528 = idf(docFreq=5152, maxDocs=44218)
          0.04251826 = queryNorm
        0.20878783 = fieldWeight in 3103, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.1495528 = idf(docFreq=5152, maxDocs=44218)
          0.046875 = fieldNorm(doc=3103)
  0.2 = coord(1/5)

Abstract

There's something magical about interface design. The research done to determine user behavior that leads to design decisions is positively fascinating. This time round we have a group at Penn State testing the proficiency of users on their brand new OPAC. The users were divided into two groups, "experienced" and "first-time". Results confirm other studies in this area, namely, that when confronting an OPAC, users both experienced and not, assume they're in front of something similar to Google. They go for keywords by default, expect results ranked by relevancy (as opposed to chronology), make no use of Boolean Operators, have no idea of what information is actually indexed, and lack the curiosity or time to "learn the system". "We can either abandon this population," the author stresses, "or design systems that do not require expert knowledge to be used effectively.

0.0023251716 = product of:
  0.011625858 = sum of:
    0.011625858 = product of:
      0.034877572 = sum of:
        0.034877572 = weight(_text_:29 in 205) [ClassicSimilarity], result of:
          0.034877572 = score(doc=205,freq=2.0), product of:
            0.14956595 = queryWeight, product of:
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.04251826 = queryNorm
            0.23319192 = fieldWeight in 205, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.046875 = fieldNorm(doc=205)
      0.33333334 = coord(1/3)
  0.2 = coord(1/5)

Date

29. 4.2007 19:59:00

0.0023042548 = product of:
  0.011521274 = sum of:
    0.011521274 = product of:
      0.03456382 = sum of:
        0.03456382 = weight(_text_:22 in 177) [ClassicSimilarity], result of:
          0.03456382 = score(doc=177,freq=2.0), product of:
            0.1488917 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.04251826 = queryNorm
            0.23214069 = fieldWeight in 177, 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=177)
      0.33333334 = coord(1/3)
  0.2 = coord(1/5)

Abstract

This study investigated Simon's behavioral decisionmaking theories of bounded rationality and satisficing in relation to young people's decision making in the World Wide Web, and considered the role of personal preferences in Web-based decisions. It employed a qualitative research methodology involving group interviews with 22 adolescent females. Data analysis took the form of iterative pattern coding using QSR NUD*IST Vivo qualitative data analysis software. Data analysis revealed that the study participants did operate within the limits of bounded rationality. These limits took the form of time constraints, information overload, and physical constraints. Data analysis also uncovered two major satisficing behaviors-reduction and termination. Personal preference was found to play a major role in Web site evaluation in the areas of graphic/multimedia and subject content preferences. This study has related implications for Web site designers and for adult intermediaries who work with young people and the Web

0.0023042548 = product of:
  0.011521274 = sum of:
    0.011521274 = product of:
      0.03456382 = sum of:
        0.03456382 = weight(_text_:22 in 1540) [ClassicSimilarity], result of:
          0.03456382 = score(doc=1540,freq=2.0), product of:
            0.1488917 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.04251826 = queryNorm
            0.23214069 = fieldWeight in 1540, 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=1540)
      0.33333334 = coord(1/3)
  0.2 = coord(1/5)

Date

18.11.2014 13:22:03