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  1. The role of cognitive modeling for user interface design representations: An epistemological analysis of knowledge engineering in the context of human-computer interaction. [REVIEW]Markus F. Peschl & Chris Stary - 1998 - Minds and Machines 8 (2):203-236.
    In this paper we review some problems with traditional approaches for acquiring and representing knowledge in the context of developing user interfaces. Methodological implications for knowledge engineering and for human-computer interaction are studied. It turns out that in order to achieve the goal of developing human-oriented (in contrast to technology-oriented) human-computer interfaces developers have to develop sound knowledge of the structure and the representational dynamics of the cognitive system which is interacting with the computer.We show that in a first step (...)
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  • The making of a risk aversive society.Henry J. Perkinson - 1991 - AI and Society 5 (1):70-73.
  • ‘Adaptive’ and ‘Cooperative’ computer systems — A challenge for sociological research.Michael Paetau - 1991 - AI and Society 5 (1):61-70.
    The vision of the new generation of office systems is based on the hypothesis that an automatic support system is all the more useful and acceptable, the more systems behaviour and performance are in accordance with features ofhuman behaviour. Consequently recent development activities are influenced by the paradigm of the computer as man's “cooperative assistant”. The metaphors ofassistance andcooperation illustrate some major requirements to be met by new office systems. Cooperative office systems will raise a set of new questions about (...)
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  • Experts' systems instead of expert systems.Thomas Hermann & Katharina Just - 1995 - AI and Society 9 (4):321-355.
    By studying several cases of expert systems' use, a variety of difficulties were identified as directly depending on specific characteristics of experts and their tasks. This concerns more than the questions: “May experts be replaced by machines?” or “Is experts' knowledge explicable?”. The organisational structure of their work as well as the cyclic, non-plannable way of their task performing have further relevance. The paper introduces the concept of experts' systems to deal with diversities of their expertise and complexities of their (...)
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