Access the full text.
Sign up today, get DeepDyve free for 14 days.
(1988)
A lattice theory of menta l models of complex systems
A. Tversky (1977)
Features of SimilarityPsychological Review, 84
R. Schumacher, M. Czerwinski (1992)
Mental models and the acquisition of expert knowledge
KARMA is a quantitative model which can be used to predict a user's acquisition, retention, maintenance, and transfer of system knowledge. In KARMA, three stages over the course of an operator's model (see Schumacher & Czerwinski, in press) are characterized: pretheoretic - the understanding of system structure centers on the retrieval of superficially similar instances in memory; experiential - some understanding of causal system relationships emerges, as does some reliance upon structural system information. Also, abstraction begins to occur across different, but similar systems; and expert - at this stage, the user makes abstractions across various system representations stored in memory; full reliance upon structural system knowledge emerges. Currently, a programmed simulation is used to compare our theoretical predictions and assumptions with experimental data. The simulation is running in Scheme (a dialect of LISP).
ACM SIGCHI Bulletin – Association for Computing Machinery
Published: Jan 1, 1991
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.