Abstract of FKI-193-94

Document-Name:  fki-193-94.ps.gz
Title:          HCI Aspects of a Framework for the Qualitative 
                Representation of Space
Authors:        Daniel Hernandez 
Revision-Date:  1994/06/09 
Category:       Technical Report (Forschungsberichte Künstliche Intelligenz)
Abstract:       Good user interfaces cannot be built on top of
                representations that ignore cognitive issues.  This is
                particularly true for the representation of spatial
                knowledge, since space plays a preponderant role in
                human cognition.  In this paper, we lay down the
                theoretical framework for a qualitative representation
                of space that takes cognitive aspects into
                consideration.  A Knowledge Representation Model,
                characterized by making the role of the observer
                explicit, allows us to distinguish various modalities
                of representation (declarative vs. procedural,
                propositional vs.  analogical, qualitative vs.
                quantitative), which are often at the heart of system
                (including GIS) design.  We relate this approach to
                insights from linguistic metaphors, information
                theory, and semiotics.
Keywords:       spatial reasoning, knowledge representation,
                qualitative representations, human-computer
                interaction, system design
Citation:       Daniel Hernandez. HCI Aspects of a Framework for the
                Qualitative Representation of Space.
                Forschungsberichte Künstliche Intelligenz FKI-193-94,
                Institut für Informatik, Technische Universität
                München, June 1994. To appear in: Nyerges, T.L.,
                editor. Cognitive Aspects of Human-Computer
                Interaction for Geographic Information Systems. NATO
                Advanced Research Workshop. Kluwer, Dordrecht.
Size:           17 pages
Language:       English
ISSN:           0941-6358
Copyright:      The ``Forschungsberichte Künstliche Intelligenz''
                series includes primarily preliminary publications,
                specialized partial results, and supplementary
                material. In the interest of a subsequent final
                publication these reports should not be copied. All
                rights and the responsability for the contents of the
                report are with the authors, which would appreciate
                critical comments.

Gerhard Weiss