Minds and Machines 8 (2):203-236 (1998)

Authors
Markus F. Peschl
University of Vienna
Abstract
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 it is necessary to study and investigate the different levels and forms of representation that are involved in the interaction processes between computers and human cognitive systems. Only if designers have achieved some understanding about these representational mechanisms, user interfaces enabling individual experiences and skill development can be designed. In this paper we review mechanisms and processes for knowledge representation on a conceptual, epistemological, and methodologieal level, and sketch some ways out of the identified dilemmas for cognitive modeling in the domain of human-computer interaction.
Keywords Cognitive Modeling   Cognitive Systems   Human-Computer Interaction Knowledge Engineering   Knowledge Representation   Knowledge-based User Interfaces
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Reprint years 2004
DOI 10.1023/A:1008223113903
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The Structure of Scientific Revolutions.Thomas Samuel Kuhn - 1962 - Chicago: University of Chicago Press.
Unified Theories of Cognition.Allen Newell - 1990 - Harvard University Press.
The Tacit Dimension. --.Michael Polanyi & Amartya Sen - 1966 - Chicago, IL: University of Chicago.

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