Search (10 results, page 1 of 1)

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Source

Expert systems in agricultural research. Ed.: Fl. Skov et al

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Abstract

Cognitive systems engineering is the discipline underlying the design of computer-based information systems to support human work and endeavor. The book describes a cross-disciplinary framework for the integration of model concenpts from many different disciplines, such as engineering, psychology, cognitive science, management science, information and computer science. It is based on actual work performance in several domains

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Date

5. 8.2006 13:22:44

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Source

Universal classification I: subject analysis and ordering systems. Proc. of the 4th Int. Study Conf. on Classification Research, Augsburg, 28.6.-2.7.1982. Ed. I. Dahlberg

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Abstract

This paper presents a framework for design of work support systems for modern, dynamic work environemnt in which stable work procedures are replaced with discretionary tasks and many action possibilities are available to the user. In this situation, classic task analysis is less effective and a framework is therefore presented for work analysis, separating a representation of the work domain, its means and ends, its relational structure, and the effective task strategies among which the user may choose, from a representation of the users' general background, resources, cognitive style and subjective preferences. The aim is to design systems for information seeking in complex work domains characterized by rapid changes in users' information needs that leave the freedom open to a user to choose a task strategy that suites the user in the particular situation. An important feature of this approach is a human-work interface with a transparent presentation of the action possibilities and functional/intentional boundaries of the work domain relevant for typical task situations and user categories. This is illustrated by examples from 2 different domains that merge the cognitive engineering approach with information science disciplines: the library domain, and information seeking in the engineering design domain using the Internet

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Abstract

This paper describes a new OPAC system called The Book House and discusses its relevance as a solution to current OPAC developments. The Book House is an interactive, multimedia, online public access catalogue system designed to support casual and/or novice end-users in information retrieval. It runs on a Macintosh and is available on CD-ROM and disks in English and Danish (it can be purchased from Risø for $100). It comprises an interface and module for classifying and indexing fact and fiction books in the database called Book House Write. It uses icons, text and animation in the display interface in order to enhance the utility of the system for the general public. Both words and pictures can be used for searching, which makes the system suitable for all age groups. It plays on users' previous experiencees with computer games to support learning by doing something in an enjoyable way. A prerequisite for the design of The Book House was a new approach to cognitive analysis of retrieval in libraries. Based on the success of this approach, it is claimed that OPAC systems will only be really useful and widespread (1) when their domain and task characteristics allow supplementary information to be added to existing descriptions of book content in online card catalogues in order to match end-users' intentions and needs, and (2) when the user interface and routes to the databases are configured as an integrated and uniform set of displays which match the search strategies of users, as well as their mental capabilities and limitations

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Abstract

Information retrieval and exploration of work domains through databases and integrated information systems has become increasingly important in many modern work settings (as well as in libraries). The problem space of the users is defined on occasion by the dynamically changing requirements from their tasks and goals. it is argued that IR system design should be based on an analysis of the properties of the work domain, the task situation and the user characteristics. The paper describes a general framework for IR system design that has been used in the design of a library system. A special problem identified from use of the framework in domain analysis of fiction retrieval is treated in more detail: mapping the authors' domain structures to the domain structures expressed in users' needs in indexing and representation of fiction

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Abstract

This paper introduces a new approach to the design of classification schemes for complex work domains to help structure the knowledge domains in databases for single users and multiple users in co-operative work. Ecological work based classification schemes are designed on the basis of an empirical analysis of the invariant structures of the work domain and of the information needs of its actors. Invariant structures of a work domain can be explicit or implicit (hidden structures). The invariant structures are identified through empirical analysis of field studies in work domains, guided by the use of a means ends abstraction hierarchy. This hierarchy provides a model for analyzing, or-ganizing and relating different levels of properties within a work domain. The resulting structure is an ecological classification scheme, comprising the different dimensions or categories of domain information that needs to be available for an actor to make a decision. Contrary to traditional classification systems which usually are designed from one particular point of view (a single discipline, paradigm or purpose), ecological classification schemes provide a transparent and structured information environment in which actors can navigate freely according to their current perspectives of work and subjective preferences

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Abstract

Collaborative integration of knowledge in distributed and cross-disciplinary work domains poses a number of challenges to classification, comprising: 1) how to analyze the actors' current practice of integration of knowledge and 2) how to model consistent semantic support of diverse interpretive perspectives among the actors. This paper introduces a cognitive systems engineering approach to modelling collaborative integration of knowledge in work domains. A generic means-ends model provides a theoretical foundation for mapping the territory of collaborative work. A decision task model captures the actors' distributed decision-making in integration of knowledge. The problem of collaborative integration of knowledge in a distributed web-based film collaboratory is explored through an empirical case of collaborative film indexing. The empirical study identified a lack of tools for consistent support of integration of knowledge. The means-ends model and the decision task model guided the design of a conceptual structure of the common workspace of film indexing. The paper concludes with a proposal for further work an models for integration of knowledge through ecological classification schemes. 1. Introduction Current work practice and knowledge production to an increasing degree involves actors from different disciplines, cultures and organisations. Additionally, current work practice not only relies an authoritative orderings of knowledge, but also relies an the dynamism of the actors' ongoing collaborative integration of knowledge, i.e. their shared interpretations of knowledge, exchange of perspectives and joint knowledge production. Consequently, in order to support the actors' ongoing collaborative integration of knowledge, the design of support tools, like classification schemes, must address not only the order of knowledge, but also the situational contexts where collaborative integration of knowledge occurs. This paper introduces an ecological approach to integration of knowledge across boundaries in distributed collaboratory work environments, which is founded an (a) work domain analysis (b) the development of models for collaborative integration of knowledge. The work domain analysis is based an means-ends analysis of the territory of work and the actors' information needs during decision making. The result is conceptual structures of collaborative work that can be used to create collaborative classification schemes. Previous work an design of ecological classification schemes proposed that such schemes should be based an a finegrained empirical analysis of actors' collaborative decision tasks in order to identify the knowledge produced and needed by the actors (Pejtersen & Albrechtsen, 2000).