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  • × author_ss:"Pejtersen, A.M."
  1. 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) 0.02
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    Date
    5. 8.2006 13:22:44
    Type
    a
  2. Pejtersen, A.M.: Cognitive engineering in information retrieval domains : merging paradigms? (1995) 0.02
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    Source
    Bibliothek: Forschung und Praxis. 19(1995) H.1, 64-77
    Type
    a
  3. Pejtersen, A.M.: ¬The "BOOKHOUSE" : an icon based database system for fiction retrieval in public libraries (1989) 0.02
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    Source
    Proceedings of the 7th Nordic Conf. for Information and Documentation, Aarhus, Denmark, 28.-30.8.1989. Ed.: H. Clausen
    Type
    a
  4. Pejtersen, A.M.; Albrechtsen, H.; Sandelin, R.; Lundgren, L.: ¬The Scandinavian Book House : indexing methods and OPAC development for subject access to Scandinavian fiction literature (1995) 0.01
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    Type
    a
  5. Albrechtsen, H.; Pejtersen, A.M.: Cognitive work analysis and work centered design of classification schemes (2003) 0.01
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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.
    Type
    a
  6. Pejtersen, A.M.: ¬A framework for indexing and representation of information based on work domain analysis : a fiction classification example (1994) 0.01
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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
    Source
    Knowledge organization and quality management: Proc. of the 3rd International ISKO Conference, 20-24 June 1994, Copenhagen, Denmark. Ed.: H. Albrechtsen et al
    Type
    a
  7. Albrechtsen, H.; Andersen, H.H.K.; Cleal, B.; Pejtersen, A.M.: Categorical complexity in knowledge integration : empirical evaluation of a cross-cultural film research collaboratory (2004) 0.01
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    Abstract
    The paper presents a qualitative empirical evaluation of the Collate collaboratory, with special emphasis on management of knowledge integration and categorical complexity. The empirical evaluation of the Collate collaboratory was conducted in an evaluation workshop where professionals from the archives collaborated an co-creation of film censorship history, interacted with prototypes and discussed the use problems with the evaluators. The collaboratory features two distinct modules for management of knowledge integration in the common workspace, through annotation and indexing of documents. The empirical evaluation indicates that the deeper semantics of knowledge integration evolves in collaborative task situations, where the work processes of annotation and indexing are inexorably linked in the professionals' collaborative decision-making, and that there is a need for a consistent and uniform semantic support of management of knowledge integration in the collaboratory.
    Type
    a
  8. Fidel, R.; Pejtersen, A.M.; Cleal, B.; Bruce, H.: ¬A multidimensional approach to the study of human-information interaction : a case study of collaborative information retrieval (2004) 0.01
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    Abstract
    While most research in the area of human-information behavior has focused an a single dimension-either the psychological or the social-this case study demonstrated the importance of a multidimensional approach. The Cognitive Work Analysis framework guided this field study of one event of collaborative information retrieval (CIR) carried out by design engineers at Microsoft, including observations and interviews. Various dimensions explained the motives for this CIR event and the challenges the participants encountered: the cognitive dimension, the specific task and decision, the organization of the teamwork, and the organizational culture. Even though it is difficult at times to separate one dimension from another, and all are interdependent, the analysis uncovered several reasons for design engineers to engage in CIR, such as when they are new to the organization or the team, when the information lends itself to various interpretations, or when most of the needed information is not documented. Similar multidimensional studies will enhance our understanding of human-information behavior.
    Type
    a
  9. Pejtersen, A.M.; Albrechtsen, H.: Ecological work based classification schemes (2000) 0.01
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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
    Type
    a
  10. Pejtersen, A.M.; Jensen, H.; Speck, P.; Villumsen, S.; Weber, S.: Catalogs for children : the Book House project on visualization of database retrieval and classification (1993) 0.01
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    Abstract
    This paper describes the Book House system which is designed to support children's information retrieval in libraries as part of their education. It is a shareware program available on CD-ROM and discs, and comprises functionality for database searching as well as for the classification and storage of book information in the database. The system concept is based on an understanding of children's domain structures and their capabilities for categorization of information needs in connection with their activities in public libraries, in school libraries or in schools. These structures are visualized in the interface by using metaphors and multimedia technology. Through the use of text, images and animation, the Book House supports children - even at a very early age - to learn by doing in an enjoyable way which plays on their previous experiences with computer games. Both words and pictures can be used for searching; this makes the system suitable for all age groups. Even children who have not yet learned to read properly can by selecting pictures search for and find books they would like to have read aloud. Thus at the very beginning of their school period, they can learn to search for books on their own. For the library community itself, such a system will provide an extended service which will increase the number of children's own searches and also improve the relevance, quality and utilization of the collections in the libraries. A market research on the need for an annual indexing service for books in the Book House format is in preparation by the Danish Library Center
  11. Pejtersen, A.M.; Albrechtsen, H.: Models for collaborative integration of knowledge (2003) 0.01
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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).
    Type
    a
  12. Pejtersen, A.M.: ¬A library system for information retrieval based on a cognitive task analysis and supported by a icon-based interface (1989) 0.00
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    Type
    a
  13. Pejtersen, A.M.: Bogautomaten i Hjortespring (1988) 0.00
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  14. Austin, J.; Pejtersen, A.M.: Fiction retrieval: experimental design and evaluation of a search system based on user's value criteria. Pt.1 (1983) 0.00
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  15. Pejtersen, A.M.: Design of a computer-aided user-system dialogue based on an analysis of users' search behaviour (1984) 0.00
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  16. Pejtersen, A.M.: Implications of users' value perception for the design of a bibliographic retrieval system (1986) 0.00
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  17. Austin, J.; Pejtersen, A.M.: Fiction retrieval : experimental design and evaluation of a search system based on user's value criteria. Pt.2 (1984) 0.00
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  18. Pejtersen, A.M.: Fiction and library classification (1978) 0.00
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  19. Pejtersen, A.M.: ¬The meaning of "about" in fiction indexing and retrieval (1979) 0.00
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  20. 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) 0.00
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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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