Search (8 results, page 1 of 1)

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Abstract

Reports on part of the results of a longitudinal study of information seeking behaviour and document selection and use by 15 faculty and graduate students, in the Agricultural and Resource Economics Department, Maryland University, undertaking a research project. This project is a follow up to a similar project undertaken in 1992 and the 15 participants in this study were among the 25 engaged in the 1992 study

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a

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Abstract

Reports on part of a study of real users' behaviour in selecting documents from a list of citations resulting from a search of an information retrieval system. Document selection involves value judgements and decision making. Understanding how users evaluate documents and make decisions provides a basis for designing intelligent information retrieval system that can do a better job of predicting usefulness

Type

a

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Abstract

Reports a qualitative study of the citing motivations of 12 agricultural economists (faculty and doctoral students), identifying several factors they considered in making citing decisions. Reports citing behaviour derived from a larger empirical, longitudinal study tracing document use during research projects and thus includes behaviour related to decisions both to cite and not to cite. An important finding is the existence of metalevel concerns that influence a decision to cite a document, in addition to situational factors related to its actual use during research

Type

a

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Abstract

This article proposes a model of document selection by real users of a bibliographic retrieval system. It reports on Part 1 of a longitudinal study of decision making on document use by academics during a actual research project. (Part 2 followed up the same users on how the selected documents were actually used in subsequent stages). The participants are 25 self-selected faculty and graduate students in Agricultural Economics. After a reference interview, the researcher conducted a search of DIALOG databases and prepared a printout. The users selected documents from this printout, They were asked to read and think aloud while selecting documents. There verbal reports were recorded and analyzed from a utiliy-theoretic perspective. The following model of the decision-making in the selection process emerged: document information lemenets (DIEs) in document records provide the information for judging the documents on 11 criteria (including topicality, orientation, quality, novelty, and authority); the criteria judgments are comninded in an assessment of document value along 5 dimensions (Epistemic, functional, conditional, social, and emotional values), leading to the use decision. This model accounts for the use of personal knowledge and decision strategies applied in the selection process. The model has implications for the design of an intelligent document selection assistant

Type

a

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Abstract

This article reports on the follow-up study of a two-part project designed to study the decision-making process underlying how academic researchers select documents retrieved from online databases, consult or read, and cite documents during a research project. The participants are 15 of the the 25 agricultural economics users who participated in the original study of document-selection conducted in 1992. They were interviewed about subsequent decisions on document considered relevant and selected in 1992, as well as documents cited in their written products but not in the original searches. Of particular interest in this article are the decision criteria and rules they apply to documents as they progress through the project. The first study in 1992 emphasized the selection processes and resulted in a document selection model; the 1995 study concentrates on the reading and citing decisions. The model derived from this project shows document use as a decision-making process with decisions occuring at 3 points or stages during a research project: selecting, reading, and citing. It is an expansion pf the document selection model developed in the 1992 study, ientifies more criteria, and clarifies the criteria and rules that are in use at each stage. The follow-up study not only found that all but one of the criteria identified in selection re-occur in connection with reading and citing decisions, but also identified 14 new criteria. It also found that decision rules applied in selection descisions are applied throughout the project

Type

a

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Abstract

How knowledge is organized in human memory is of interest to both information science and cognitive science. The current information retrieval (IR) systems can be improved if we understand which conceptual structures could facilitate users in information processing and seeking. This project examined twenty-two cognitive maps on ten research topics generated by ten experts and eleven non-experts. Experts were those who had completed a research project on the topic prior to participating in this study, while non-experts were from the same academic department who were familiar with the topic but had not conducted any in-depth research on it. A research topic can be represented by a vocabulary and the relationships among the terms in the vocabulary. A cognitive map visualizes the vocabulary and its configuration in a plane. We observed that experts did not generate the maps much faster than non-experts. Both experts and non-experts modified the given vocabulary by either adding or dropping terms. The dominant configuration for the maps was top-down, while five maps were orientated in left-right or radical structure (from a center). Experts tended to use problem-oriented approach to organize the vocabulary while non-experts often applied discipline-oriented hierarchical structure. Despite of many differences in vocabulary and structure by individuals, there are terms clustered in a similar ways across maps indicating an agreed-upon semantic closeness among these terms

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a

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Abstract

Identifies aspects of citing behaviour by directly questioning researchers about decisions to cite or not to cite specific docuements. Finds the existence of meta-level concerns which may indictae documentation styles which influence a decision to cite a document in addition to situation factors related to its actual use during research. Reports the preliminary results of the citing decisions in an empirical, longitudinal study of document use by academic economists and gradutae students during several phases of their research projects

Type

a

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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

Type

a