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The skull beneath the skin; entity-relationship modelling of information artefacts.

Green, Thomas R G and Benyon, David (1996) The skull beneath the skin; entity-relationship modelling of information artefacts. International Journal of Human-Comptuer Studies, 44 (6). pp. 801-828.

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    Abstract/Description

    Data modelling reveals the internal structure of an information system, abstracting away
    from details of the physical representation. We show that entity-relationship modelling, a
    well-tried example of a data-modelling technique, can be applied to both interactive and
    non-interactive information artefacts in the domain of HCI. By extending the conventional
    ER notation slightly (to give ERMIA, Entity-Relationship Modelling for Information
    Artefacts) it can be used to describe differences between different representations of the same
    information, differences between user’s conceptual models of the same device, and the
    structure and update requirements of distributed information in a worksystem. It also yields
    symbolic-level estimates of Card et al.’s (1994) index of ‘cost-of-knowledge’ in an information
    structure, plus a novel index, the ‘cost-of-update’; these symbolic estimates offer a useful
    complement to the highly detailed analyses of time costs obtainable from GOMS-like
    models. We conclude that, as a cheap, coarse-grained, and easy-to-learn modelling
    technique, ERMIA usefully fills a gap in the range of available HCI analysis techniques

    Item Type: Article
    Electronic ISSN: 1071-5819
    Uncontrolled Keywords: data modelling; information system; entity-relationship; HCI; symbolic estimates; ERMIA;
    University Divisions/Research Centres: Faculty of Engineering, Computing and Creative Industries > School of Computing
    Dewey Decimal Subjects: 000 Computer science, information & general works > 000 Computer science, knowledge & systems > 004 Data processing & computer science
    Library of Congress Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Item ID: 3077
    Depositing User: Computing Research
    Date Deposited: 05 Oct 2010 15:43
    Last Modified: 09 Oct 2013 16:06
    URI: http://researchrepository.napier.ac.uk/id/eprint/3077

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