Search (102 results, page 1 of 6)

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Abstract

The study reported here tested the efficacy of an information retrieval system output summary and visualization scheme for undergraduates taking a Vietnam War history who were in Kuhlthau's Stage 3 of researching a history essay. The visualization scheme consisted of (a) the undergraduate's own visualization of his or her essay topic, drawn by the student an the bottom half of a sheet of paper, and (b) a visualization of the information space (determined by index term counting) an the tophalf of the same page. To test the visualization scheme, students enrolled in a Vietnam War history course were randomly assigned to either the visualization scheme group, who received a high recall search output, or the nonvisualization group, who received a high precision search output. The dependent variable was the mark awarded the essay by the course instructor. There was no significant difference between the mean marks for the two groups. We were pleasantly surprised with this result given the bad reputation of high recall as a practical search strategy. We hypothesize that a more proactive visualization system is needed that takes the student through the process of using the visualization scheme, including steps that induce student cognition about task-subject objectives.

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Abstract

The article reports a field study which examined the mental models of 80 undergraduates seeking information for either a history or psychology course essay when they were in an early, exploration stage of researching their essay. This group is presently at a disadvantage when using thesaurus-type schemes in indexes and online search engines because there is a disconnect between how domain novice users of IR systems represent a topic space and how this space is represented in the standard IR system thesaurus. The study attempted to (a) ascertain the coding language used by the 80 undergraduates in the study to mentally represent their topic and then (b) align the mental models with the hierarchical structure found in many thesauri. The intervention focused the undergraduates' thinking about their topic from a topic statement to a thesis statement. The undergraduates were asked to produce three mental model diagrams for their real-life course essay at the beginning, middle, and end of the interview, for a total of 240 mental model diagrams, from which we created a 12-category mental model classification scheme. Findings indicate that at the end of the intervention, (a) the percentage of vertical mental models increased from 24 to 35% of all mental models; but that (b) 3rd-year students had fewer vertical mental models than did 1st-year undergraduates in the study, which is counterintuitive. The results indicate that there is justification for pursuing our research based on the hypothesis that rotating a domain novice's mental model into a vertical position would make it easier for him or her to cognitively connect with the thesaurus's hierarchical representation of the topic area.

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Abstract

The Web provides a massive knowledge source, as do intranets and other electronic document collections. However, much of that knowledge is encoded implicitly and cannot be applied directly without processing into some more appropriate structures. Searching, browsing, question answering, for example, could all benefit from domain-specific knowledge contained in the documents, and in applications such as simple search we do not actually need very "deep" knowledge structures such as ontologies, but we can get a long way with a model of the domain that consists of term hierarchies. We combine domain knowledge automatically acquired by exploiting the documents' markup structure with knowledge extracted an the fly to assist a user with ad hoc search requests. Such a search system can suggest query modification options derived from the actual data and thus guide a user through the space of documents. This article gives a detailed account of a task-based evaluation that compares a search system that uses the outlined domain knowledge with a standard search system. We found that users do use the query modification suggestions proposed by the system. The main conclusion we can draw from this evaluation, however, is that users prefer a system that can suggest query modifications over a standard search engine, which simply presents a ranked list of documents. Most interestingly, we observe this user preference despite the fact that the baseline system even performs slightly better under certain criteria.

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Abstract

Purpose - The paper aims to present the results of the first two tasks of a user study looking into mental models of the bibliographic universe and especially their comparison to the Functional Requirements for Bibliographic Records (FRBR) conceptual model, which has not yet been user tested. Design/methodology/approach - The paper employes a combination of techniques for eliciting mental models and consisted of three tasks, two of which, card sorting and concept mapping, are presented herein. Its participants were 30 individuals residing in the general area of Ljubljana, Slovenia. Findings - Cumulative results of concept mapping show a strong resemblance to FRBR. Card sorts did not produce conclusive results. In both tasks, participants paid special attention to the original expression, indicating that a special place for it should be considered. Research limitations/implications - The study was performed using a relatively small sample of participants living in a geographically limited space using relatively straight-forward examples. Practical implications - Some solid evidence is provided for adoption of FRBR as the conceptual basis for cataloguing. Originality/value - This is the first widely published user study of FRBR, applying novel methodological approaches in the field of Library and Information Science.

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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.

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Abstract

Examines the assumption that people want to be presented with as many different media as are possible in a given application. Reports on an exploratory study designed to assess the media preferences og the 'person on the street' when presented with the choice of 7 different media combinations to find out some unknown thing in a public space. Findings suggests that people do not always prefer to access as many different media as are available. There was a bias toward having some media combination that includes graphics, but there was also some bias against having information presented using sound in a public space

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Abstract

The development of visual retrieval methods requires information about user interaction with images, including their description and categorization. This article presents the development of a categorization model for magazine images based on two user studies. In Study 1, we elicited 10 main classes of magazine image categorization criteria through sorting tasks with nonexpert and expert users (N=30). Multivariate methods, namely, multidimensional scaling and hierarchical clustering, were used to analyze similarity data. Content analysis of category names gave rise to classes that were synthesized into a categorization framework. The framework was evaluated in Study 2 by experts (N=24) who categorized another set of images consistent with the framework and found it to be useful in the task. Based on the evaluation study the framework was solidified into a model for categorizing magazine imagery. Connections between classes were analyzed both from the original sorting data and from the evaluation study and included into the final model. The model is a practical categorization tool that may be used in workplaces, such as magazine editorial offices. It may also serve to guide the development of computational methods for image understanding, selection of concepts for automatic detection, and approaches to support browsing and exploratory image search.

Date

22. 1.2011 14:09:26

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Abstract

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

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Abstract

In einem Benutzertest, der im Rahmen der Projektes GIRT stattfand, wurde die Leistungsfähigkeit zweier Retrievalsprachen für die Datenbankrecherche überprüft. Die Ergebnisse werden in diesem Bericht dargestellt: Das System FULCRUM beruht auf automatischer Indexierung und liefert ein nach statistischer Relevanz sortiertes Suchergebnis. Die Standardfreitextsuche des Systems MESSENGER wurde um die intellektuell vom IZ vergebenen Deskriptoren ergänzt. Die Ergebnisse zeigen, dass in FULCRUM das Boole'sche Exakt-Match-Retrieval dem Verktos-Space-Modell (Best-Match-Verfahren) von den Versuchspersonen vorgezogen wurde. Die in MESSENGER realisierte Mischform aus intellektueller und automatischer Indexierung erwies sich gegenüber dem quantitativ-statistischen Ansatz beim Recall als überlegen

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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

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Abstract

Several previous studies have measured differences in the information search success of novices and experts. However, the definitions of novices and experts have varied greatly between the studies, and so have the measures used for search success. Instead of dividing the searchers into different groups based on their expertise, we chose to model search success with task completion speed, TCS. Towards this goal, 22 participants performed three fact-finding tasks and two broader tasks in an observational user study. In our model, there were two variables related to the Web experience of the participants. Other variables included, for example, the speed of query iteration, the length of the queries, the proportion of precise queries, and the speed of evaluating result documents. Our results showed that the variables related to Web experience had expected effects on TCS. The increase in the years of Web use was related to improvement in TCS in the broader tasks, whereas the less frequent Web use was related to a decrease in TCS in the fact-finding tasks. Other variables having significant effects on TCS in either of the task types were the speed of composing queries, the average number of query terms per query, the proportion of precise queries, and the participants' own evaluation of their search skills. In addition to the statistical models, we present several qualitative findings of the participants' search strategies. These results give valuable insight into the successful strategies in Web search beyond the previous knowledge of the expert-novice differences.

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Abstract

This study focuses on the task as a fundamental factor in the context of information seeking. The purpose of the study is to characterize kinds of tasks and to examine how different kinds of task give rise to different kinds of information-seeking behavior on the Web. For this, a model for information-seeking behavior was used employing dimensions of information-seeking strategies (ISS), which are based on several behavioral dimensions. The analysis of strategies was based on data collected through an experiment designed to observe users' behaviors. Three tasks were assigned to 30 graduate students and data were collected using questionnaires, search logs, and interviews. The qualitative and quantitative analysis of the data identified 14 distinct information-seeking strategies. The analysis showed significant differences in the frequencies and patterns of ISS employed between three tasks. The results of the study are intended to facilitate the development of task-based information-seeking models and to further suggest Web information system designs that support the user's diverse tasks.

Date

22. 3.2009 18:54:15

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Abstract

No prior research has been identified that investigates the causal factors for workplace exploratory search task performance. The impact of user, task, and environmental factors on user satisfaction and task performance was investigated through a mixed methods study with 26 experienced information professionals using enterprise search in an oil and gas enterprise. Some participants found 75% of high-value items, others found none, with an average of 27%. No association was found between self-reported search expertise and task performance, with a tendency for many participants to overestimate their search expertise. Successful searchers may have more accurate mental models of both search systems and the information space. Organizations may not have effective exploratory search task performance feedback loops, a lack of learning. This may be caused by management bias towards technology, not capability, a lack of systems thinking. Furthermore, organizations may not "know" they "don't know" their true level of search expertise, a lack of knowing. A metamodel is presented identifying the causal factors for workplace exploratory search task performance. Semistructured qualitative interviews with search staff from the defense, pharmaceutical, and aerospace sectors indicates the potential transferability of the finding that organizations may not know their search expertise levels.

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Abstract

Previous empirical studies of searcher behaviour have drawn attention to a wide variety of factors that affect performance; for instance, the display of retrieved results can alter search strategies (Allen 1991, 1994), the information need type influences search behaviour, (Elkerton et al 1984, Marchionini 1995); while the task complexity, reflected in the information need can affect user's search behaviour (Large et al 1994). Furthermore, information source selection (Bassilli 1977), and the user's model of the system and domain impact on the search process (Michel 1994); while motivation (Solomon 1993, Jacobsen et al 1992) and the importance of the information need (Wendt 1969) also influence search duration and the effort a user will employ. Rouse and Rouse (1984) in a review of empirical studies, summarise a wide variety of variables that can effect searching behaviour, including payoff, costs of searching, resource available, amount of information sought, characteristics of the data and conflicts between documents. It appears that user behaviour is inconsistent in the search strategies adopted even for the same search need and system (Davidson 1977, Iivonen 1995). Theories of searcher behaviour have been proposed that provide explanations of aspects of end-user behaviour, such as the evolution of the user's information need and the problems of articulating a query, [Bates (1979, 1989), Markey and Atherton 1978], effective search strategies in browsing and goal directed searches [Marchionini 1995, Belkin (1987, 1993)], the linguistic problem of matching search terms with indexing terms or content of target documents through an expert intermediary (Ingwersen 1982) or cognitive aspects of IR (Kulthau 1984, Ingwersen 1996).

Date

22. 3.2002 9:54:13

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Abstract

Reviews a series of studies conducted by C.C, Kuhlthau who investigated users' information seeking behaviour in libraries over a 10 year period. In her study she constructed and Information Search Process (ISP) Model which represents aspects of user activities as a whole including feelings, thoughts and actions or behaviour. Argues that, while the ISP model sheds new light on user studies, it has problems in the following areas: problem solving processes; the understanding of 'feelings'; and the method of investigating users' information seeking behaviour. Recommends that the ISP model be reconstructed from different perspectives and verified in areas other than libraries. This may lead to the development of a new model of information seeking

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Content

1. Introduction The title of this paper is taken from a TV show which has gained considerable popularity in North America: A Queer Eye for the Straight Guy, in which a group of gay men subject a helpless straight male to a complete fashion makeover. In facet analysis, this would probably be seen as an "operation upon" something, and the Bliss Bibliographic Classification would place it roughly two-thirds of the way along its facet order, after "types" and "materials," but before "space" and "time." But the link between gay communities and facet analysis extends beyond the facetious title. As Web-based information resources for gay and lesbian users continue to grow, Web sites that cater to, or at least refrain from discriminating against gay and lesbian users are faced with a daunting challenge when trying to organize these diverse resources in a way that facilitates congenial browsing. And principles of faceted classification, with their emphasis an clear and consistent principles of subdivision and their care in defining the order of subdivisions, offer an important opportunity to use time-honoured classification principles to serve the growing needs of these communities. If faceted organization schemes are to work, however, we need to know more about gay and lesbian users, and how they categorize themselves and their information sources. This paper presents the results of an effort to learn more.

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Abstract

This study presents a test of the Anxiety-Expectation Mediation (AEM) model of library anxiety. The AEM model contains variables that are directly or indirectly related to information search performance, as measured by students' scores an their research proposals. This model posits that library anxiety and self-perception serve as factors that mediate the relationship between performance in writing a research proposal and other cognitive, personality, and demographic variables. The model was tested using 225 graduate students enrolled in several sections of an introductory-level course at a midsouthern university. Structural equation modeling techniques supported the AEM model. In particular, library anxiety and research achievement were reciprocally related. Furthermore, library anxiety mediated the relationship between research performance and the following variables: age, grade point average, learning style, academic procrastination, and self-perception. The path analysis also revealed a direct, positive path from self-perception to research performance. In addition, self-perception moderated the relationship between research achievement and academic procrastination, perfectionism, and hope. The AEM model of library anxiety suggests that Wine's (1980) Cognitive-Attentional-Interference theory, Onwuegbuzie, Jiao, and Bostick's (in press) ILP model of library anxiety, and Bandura's (1977) self-efficacy theory can be applied to the library and information context. Findings are discussed within the framework of current social-psychological models of educational achievement.

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Abstract

This study applied the Biglan model of disciplinary differences to the information-seeking behavior patterns of 5,175 undergraduates responding to questions on the College Student Experiences Questionnaire (CSEQ). The Biglan model categorizes academic disciplines along three dimensions: (1) hard-soft, (2) pure-applied, and (3) life-nonlife systems. Using t-tests, this model proved to be valid for distinguishing differences in undergraduates' information-seeking behavior patterns among various academic disciplines. The results indicate that the Biglan model has implications for the redesign of academic library services and use as a valid theoretical framework for future library and information science research.