Abstract
PT, the personalised text system enables authors to create hypertext customised to match the individual user's preferences, interests, current goals, background and other attributes. This chapter describes the motivation for such a system in terms of its use in tutoring systems that generate a hypertext layout dynamically, based on a user model. The customisation is driven by two essential elements: a meta-hypertext which is an augmented-html document and a user model that tracks relevant information about the user. This chapter describes the ways that we have constructed these elements and explains how this has been driven by a commitment to user control. We also describe some fundamental elements of the design and implementation of such a system. One of the challenges of managing PT's meta-hypertext documents derives from the increased complexity of author's task. We describe our approach to this problem.
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References
Student Modelling: The Key to Individualized Knowledge-based Instruction, Springer-Verlag NATO ASI Series (1994).
G. Boy, “On-line user model acquisition in hypertext documentation”, Proc. IJCAI Workshop Agent Modelling for Intelligent Interaction, pp. 34–42, Sydney, Australia (1991).
C Boyle and A O Encarnacion, “MetaDoc: an adaptive hypertext reading system,” User models and user adapted interaction (In press).
P Brusilovsky, “Adaptive hypertext: an attempt to analyze and generalise” in Multimedia, Hypermedia and Virtual Reality Models, Systems and Applications, ed. P Brusilovsky, P Kommers, and N Streitz, Springer (1996).
Kaplan C, Fenwick J, and Chen J, “Adaptive hypertext navigation based on user goals and context,” User models and user adapted interaction, 3, 2(1993).
Paul R Cohen, Heuristic reasoning about uncertainty: an artificial intelligence approach, Morgan Kaufmann, Los Altos, California (1985).
R Cook and J Kay, “The justified user model: a viewable, explained user model” in UM94: User Modeling Conference, pp. 145–150, Hyannis, Cape Cod, USA (1994). Also available as Technical Report 483 (ISBN 0 86758 9221).
A Encarnacion and C Boyle, “A user model based hypertext documentation system”, in Proc IJCAI Workshop W.4: Agent Modeling for Intelligent Interaction, ed. J Kay and A Quilici, pp. 43–66. IJCAI-91, Sydney, Australia (1990).
I P Goldstein, “The genetic graph: a representation for the evolution of procedural knowledge” in Intelligent tutoring systems, ed. D Sleeman and J S Brown, Academic Press, New York (1982).
H Hohl, H-D Bocker, and R Gunzenhauser, “Hypadapter: An Adaptive Hypertext System for Exploratory Learning and Programming,” User Modeling and User-Adapted Interaction, 6, 2–3(1996).
Andrew Hong, A preprocessor for customising HTML documents: the Tailor customisation language, Honours Thesis, Basser Dept of Computer Science, University of Sydney (1995).
K Hook, J Karlgren, A Waern, N Dahlback, C G Jansson, K karlgren, and B Lemaire, “A glass box approach to adaptive hypermedia,” User Modeling and User-Adapted Interaction, 6, 2-3, pp. 157–184 (1996).
J Kay and R J Kummerfeld, C in the UNIX Environment, p. 340, AssisonWesley (1989).
J Kay, “Invited keynote address — Lies, damned lies and stereotypes: pragmatic approximations of users,” UM94-1994 User Modeling Conference, pp. 175—184, Boston, USA (1994). Also available as Technical Report 482 (ISBN 0 86758 919 1).
J Kay, “um: a user modelling toolkit,” Second Intl User Modelling Workshop, p. 11, Hawaii (1990).
J Kay, “The um toolkit for cooperative user modelling,” User Modeling and User-Adapted Interaction, 4, 4, Kluwer (1995). And as SSRG Report 94/3/36.3.
A Kobsa and W Wahlster, User models in dialog systems, Springer-Verlag, Berlin (1989).
W H Lie and B Bos,Cascading Style Sheets, level 1,(Sept, 1996). http://www.w3.org/pub/WWW/TR/
R Lithgo, A hypertext user modelling Unix manual system, Honours Thesis, Basser Dept of Computer Science, University of Sydney (1991).
C L Paris, “The user of explicit user models in a generation system for tailoring answers to the user's level of expertise” in User models in dialog systems, ed. A Kobsa and W Wahlster, pp. 200–232, Springer-Verlag (1989).
E Rich, “Users are individuals: individualizing user models,” Intl J of ManMachine Studies, 18, pp. 199–214 (1983).
Brooke Smith, CUSTOR, Honours Thesis, Basser Dept of Computer Science, University of Sydney (1995).
P Tamir, “What do learing theories and research have to say to practitioners in science education?”, in Research and Development in Higher Education, ed. J Lublin, 7, pp. 162–166 (1984).
D Tyerman, Personal communications, (1996).
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Kay, J., Kummerfeld, B. (1997). User models for customized hypertext. In: Nicholas, C., Mayfield, J. (eds) Intelligent Hypertext. WIH WIH 1994 1993. Lecture Notes in Computer Science, vol 1326. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0023959
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DOI: https://doi.org/10.1007/BFb0023959
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