Decision making in intelligent user interfaces

Intelligent user interfaces are characterised by their capability to adapt at run-time and make several communication decisions concerning ‘what’, ‘when’, ‘why’ and ‘how’ to communicate, through a certain adaptation strategy. In this paper, we present a methodological approach to assist this decision making process, which is btyed on a clear separation of the important attributes that characterise the adaptation strategy, namely the adaptation determinants, constituents, goals and rules. Based on this separation, we also present a methodological approach for the formulation of adaptation rules, which utilises techniques from the domain of multiple criteria decision making. It is argued that, following the proposed approach, the adaptation strategy can be easily customised to the requirements of different application domains and user groups, and can be re-used with minor modifications in different applications. As a result, developers of intelligent user interfaces can be significantly assisted, and users can be empowered to exploit the benefits of intelligent interfaces.

[1]  Eric R. Zieyel Operations research : applications and algorithms , 1988 .

[2]  Dimitar Filev,et al.  On the concept of immediate probabilities , 1995, Int. J. Intell. Syst..

[3]  Alistair G. Sutcliffe,et al.  Designing presentation in multimedia interfaces , 1994, CHI '94.

[4]  Jerzy W. Grzymala-Busse,et al.  Rough Sets , 1995, Commun. ACM.

[5]  William E. Hefley,et al.  Intelligent Multimedia Presentation Systems: Research and Principles , 1991, AAAI Workshop on Intelligent Multimedia Interfaces.

[6]  Adamantios Koumpis,et al.  INTEGRATING MEDIA AND MODALITIES IN THE USER-MACHINE INTERFACE , 1996 .

[7]  Jean Vanderdonckt,et al.  On the Problem of Selecting Interaction Objects , 1994, BCS HCI.

[8]  Mike Norman,et al.  Adaptive user interfaces , 1990 .

[9]  C. C. Waid,et al.  An Experimental Comparison of Different Approaches to Determining Weights in Additive Utility Models , 1982 .

[10]  Ernest A. Edmonds The future of intelligent interfaces: not just “how?”, but “what?” and “why?” , 1993, IUI '93.

[11]  Angel R. Puerta The study of models of intelligent interfaces , 1993, IUI '93.

[12]  Eduard H. Hovy,et al.  On the Knowledge Underlying Multimedia Presentations , 1991, AAAI Workshop on Intelligent Multimedia Interfaces.

[13]  Michael D. Wilson,et al.  Knowledge-based design of graphical responses , 1993, IUI '93.

[14]  Stephen T. C. Wong,et al.  Preference-based decision making for cooperative knowledge-based systems , 1994, TOIS.

[15]  Jock D. Mackinlay,et al.  Search Architectures for the Automatic Design of Graphical Presentations , 1988, SGCH.

[16]  J. Mendel Fuzzy logic systems for engineering: a tutorial , 1995, Proc. IEEE.

[17]  Pedro Szekely Structuring programs to support intelligent interfaces , 1991 .

[18]  Marc Roubens,et al.  Multiple criteria decision making , 1994 .

[19]  John D. Burger,et al.  The Application of Natural Language Models to Intelligent Multimedia , 1991, AAAI Workshop on Intelligent Multimedia Interfaces.

[20]  James D. Foley,et al.  Supporting adaptive interfaces in a knowledge-based user interface environment , 1993, IUI '93.

[21]  Mark T. Maybury,et al.  Intelligent multimedia interfaces , 1994, CHI Conference Companion.

[22]  Thomas Rist,et al.  Intelligent Multimedia Presentation Systems: A Proposal for a Reference Model , 1996, MMM.