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Pejtersen, A.M.: Design of a classification scheme for fiction based on an analysis of actual user-librarian communication, and use of the scheme for control of librarians' search strategies (1980)
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- 5. 8.2006 13:22:44
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Pejtersen, A.M.: ¬The Book House : Modelling user's needs and search strategies as a basis for system design (1989)
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- RISØ-M-2794
-
Rasmussen, J.; Pejtersen, A.M.; Goodstein, L.P.: Cognitive systems engineering (1994)
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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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Pejtersen, A.M.: Interfaces based on associative semantics for browsing in information retrieval (1990)
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- Abstract
- Explores the extent to which techniques of word association can be applied to the development of interfaces for data browsing and searching for which the present methods are either not adequate or completely ineffective. Focuses on the development, application and evaluation of aids for browsing associative semantics displayed textually in interfaces as a network of related terms, or displayed visually as a network of terms and pictures
- Series
- RISØ-M-2794
-
Pejtersen, A.M.; Albrechtsen, H.: Models for collaborative integration of knowledge (2003)
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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).
- Source
- Challenges in knowledge representation and organization for the 21st century: Integration of knowledge across boundaries. Proceedings of the 7th ISKO International Conference Granada, Spain, July 10-13, 2002. Ed.: M. López-Huertas
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Goodstein, L.P.; Pejtersen, A.M.: ¬The Book House : System functionality and evaluation (1989)
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- RISØ-M-2793
-
Pejtersen, A.M.: ¬A library system for information retrieval based on a cognitive task analysis and supported by a icon-based interface (1989)
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Pejtersen, A.M.: Bogautomaten i Hjortespring (1988)
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Austin, J.; Pejtersen, A.M.: Fiction retrieval: experimental design and evaluation of a search system based on user's value criteria. Pt.1 (1983)
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Pejtersen, A.M.: Design of a computer-aided user-system dialogue based on an analysis of users' search behaviour (1984)
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Pejtersen, A.M.: Implications of users' value perception for the design of a bibliographic retrieval system (1986)
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Austin, J.; Pejtersen, A.M.: Fiction retrieval : experimental design and evaluation of a search system based on user's value criteria. Pt.2 (1984)
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Pejtersen, A.M.: Fiction and library classification (1978)
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Pejtersen, A.M.: ¬The meaning of "about" in fiction indexing and retrieval (1979)
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Albrechtsen, H.; Pejtersen, A.M.: Cognitive work analysis and work centered design of classification schemes (2003)
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- Abstract
- Work centered design of classification schemes is an emerging area of research which poses particular challenges to domain analysis and scheme construction. A key challenge in work centered design of classification schemes is the evolving semantics of work. This article introduces a work centered approach to the design of classification schemes, based an the framework of cognitive work analysis. We launch collaborative task situations as a new unit of analysis for capturing evolving semantic structures in work domains. An example case from a cognitive work analysis of three national film research archives illustrates the application of the framework for identifying actors' needs for a classification scheme to support collaborative knowledge integration. It is concluded that a main contribution of the new approach is support for empirical analysis and overall design of classification schemes that can serve as material interfaces for actors' negotiations and integration of knowledge perspectives during collaborative work.
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Morehead, D.R.; Pejtersen, A.M.; Rouse, W.B.: ¬The value of information and computer-aided information seeking : problem formulation and application to fiction retrieval (1984)
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- Abstract
- Issues concerning the formulation and application of a model of how humans value information are examined. Formulation of a value function is based on research from modelling, value assessment, human information seeking behavior, and human decision making. The proposed function is incorporated into a computer-based fiction retrieval system and evaluated using data from nine searches. Evaluation is based on the ability of an individual's value function to discriminate among novels selected, rejected, and not considered. The results are discussed in terms of both formulation and utilization of a value function as well as the implications for extending the proposed formulation to other information seeking environments
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Pejtersen, A.M.: Cognitive engineering : field analysis and information retrieval systems (1996)
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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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Pejtersen, A.M.; Albrechtsen, H.: Ecological work based classification schemes (2000)
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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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Pejtersen, A.M.: ¬A framework for indexing and representation of information based on work domain analysis : a fiction classification example (1994)
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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
- Type
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Pejtersen, A.M.: ¬A new approach to the classification of fiction (1982)
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