Publication statistics

Pub. period:1987-1998
Pub. count:4
Number of co-authors:4



Co-authors

Number of publications with 3 favourite co-authors:

Randy Pausch:1
Martin Brunecky:1
Jeff Barr:1

 

 

Productive colleagues

Alain Rappaport's 3 most productive colleagues in number of publications:

Randy Pausch:31
Richard Chimera:4
Jeff Barr:2
 
 
 

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Alain Rappaport

 

Publications by Alain Rappaport (bibliography)

 what's this?
1998
 
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Rappaport, Alain (1998): Constructive Cognition in a Situated Background. In International Journal of Human-Computer Studies, 49 (6) pp. 927-933.

In the present commentary, situatedness, or context dependence is seen as a general principle of human knowledge and activities, and cognition is a constructive process taking place in a situated background. We contend that a "constructive cognition" model would encompass situatedness, regardless of the paradigm in use for its implementation and that there is no fundamental incompatibility between situatedness and the use of either implicit or descriptive expressions of knowledge. We present some evidence from cognitive neuroscience in favor of this constructive paradigm. The same evidence should, in turn, influence the design of useful technologies to support and extend cognitive activities.

© All rights reserved Rappaport and/or Academic Press

1993
 
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Chimera, Richard, Barr, Jeff, Brunecky, Martin, Pausch, Randy and Rappaport, Alain (1993): Platform Independent User Interface Builders: Where Are We Headed?. In: Hudson, Scott E., Pausch, Randy, Zanden, Brad Vander and Foley, James D. (eds.) Proceedings of the 6th annual ACM symposium on User interface software and technology 1993, Atlanta, Georgia, United States. pp. 235-236. Available online

This panel addresses one of the hottest topics in user interfaces in the 90's, that of building user interfaces that are platform independent. The possible topic space is quite voluminous, the scope of this panel is to discuss pure user interface issues and to leave business issues and most of the non-UI issues for another forum. Platform independence means that a user interface can be specified and created using a particular combination of hardware, operating system, and windowing environment; that single specification can then be recompiled without intervention (ideally) to run on an entirely heterogeneous combination/platform. This is a remarkable feat even considering alone the differences among windowing environments (Motif, Windows, Macintosh), operating systems (various Unix, DOS, Macintosh), or hardware (Sun, HP, DEC, IBM PC/compatible, Macintosh). Platform independent user interface builders can deliver increased productivity in a number of ways: * Learn one system for N platforms and implement only one set of source code for N platforms. * One set of source code makes maintenance simpler. * Reusability of objects and templates across platforms, which also may benefit consistency across platforms. Five years ago there was no viable system that supplied such platform independence. Today there are several dozen tools that provide to varying degrees support for platform independent user interfaces. There is also a surprisingly wide range of architectures these tools incorporate to deliver platform independence.

© All rights reserved Chimera et al. and/or ACM Press

1988
 
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Rappaport, Alain (1988): Cognitive Primitives. In International Journal of Man-Machine Studies, 29 (6) pp. 733-747.

This paper addresses the problem of the level of abstraction at which knowledge-based system computational primitives must be developed so as to facilitate the knowledge acquisition process. Low-level programming or the use of task-level methodologies as they exist now, respectively prevent rapid learning and development and lock the knowledge designer in rigid problem-solving paradigms. We explore the principles underlying the design of a compromise-level set of primitives called cognitive primitives. They are domain and task-independent computational primitives which can be used to map an expert's behaviour into an artificial formalism and integrate it in existing environments. Flexible task- or domain-level functions can emerge from working with these primitives. Examples are presented of the design and use of this computational approach. This new approach leads to the design of tools whose functions more closely match human expert knowledge, which is difficult to decompile and thus to represent in more classic formalisms.

© All rights reserved Rappaport and/or Academic Press

1987
 
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Rappaport, Alain (1987): Multiple-Problem Subspaces in the Knowledge-Design Process. In International Journal of Man-Machine Studies, 26 (4) pp. 435-452.

Designing a knowledge base is viewed as a problem-solving task in which the skilled individual's knowledge and behavior must be mapped into the system, preserving the compiled knowledge acquired by experience. The expert's problem space is complex, but its breakdown into three major subspaces allows one to formalize this approach. Selective interfaces and high-level primitives as well as a flexible knowledge representation not only elicit knowledge and the learning of the design task by the expert. High-level programming, stressing the importance of the psychological as well as the physical descriptions, should allow the expert to bypass the current bottleneck of having to decompile the knowledge into a low-level language and then reconstruct the control structures to recover the expertise. Hence, knowledge design becomes a function available to domain experts themselves. The following reflections aim at the construction of a comprehensive theory of knowledge acquisition and transfer, in the context of a direct relation between the domain expert and the machine. This work is linked to the development and use of the NEXPERT hybrid knowledge-based system.

© All rights reserved Rappaport and/or Academic Press

 
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