CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id 079f
authors Dickson, Gary W., DeSanctis, Gerardine and McBride, D. J.
year 1986
title Understanding the Effectiveness of Computer Graphics for Decision Support : A Cumulative Experimental Approach
source Communications of the ACM. January, 1986. vol. 29: pp. 40-47. includes bibliography
summary A total of 840 junior and senior-level undergraduate business students participated in three experiments that compared computer-generated graphical forms of data presentation to traditional tabular reports. The first experiment compared tables and bar charts for their effects on readability, interpretation accuracy, and decision making. No differences in interpretation accuracy or decision quality were observed for the two groups, although tabular reports were rated as 'easier to read and understand' than graphical reports. The second experiment compared line plots to tables for their effects on interpretation accuracy and decision quality. Subjects with graphical reports outperformed those with tables. There were no meaningful differences in interpretation accuracy across treatment groups. The third experiment compared graphical and tabular reports for their ability to convey a 'message' to the reader. Only in situations in which a vast amount of information was presented and relatively simple impressions were to be made, did subjects given graphs outperform those using tables. This program of cumulative experiments indicates that generalized claims of superiority of graphic presentation are unsupported, at least for decision-related activities. In fact, the experiments suggest that the effectiveness of the data display format is largely a function of the characteristics of the task at hand, and that impressions gleaned from 'one shot' studies of the effectiveness of the use of graphs may be nothing more than situationally dependent artifacts
keywords business, computer graphics, presentation, decision making, visualization
series CADline
last changed 2003/06/02 13:58

_id a7de
authors Bic, Lubomir and Jonathan P. Gilbert
year 1986
title Learning from AI : New Trends in Database Technology
source IEEE Computer. March, 1986. vol. 19: pp. 44-54. includes bibliography
summary With the steadily increasing demand for user-oriented systems, new trends in database technology have evolved outside of the scope of the traditional data models. The authors are concentrated in this article on two closely related efforts: The incorporation of more semantic modeling capabilities into database models, and the development of better user environment, which include user friendly interfaces and support different user views of the content and organization of the data
keywords AI, user interface, database, relational database
series CADline
last changed 1999/02/12 15:07

_id cc1a
authors Lien, Kristian, Go Suzuki and Westerberg, Arthur W.
year 1986
title The Role of Expert Systems Technology In Design
source [2] 49 p. : diagrams Engineering Design Research Center, CMU, September, 1986 EDRC-06-13-86. includes bibliography.
summary Using a scenario format, this paper first reviews the nature of chemical process design, showing that designers quickly make major decisions with minimal information and constantly revise their strategy to solve a problem. To automate this activity on a computer will require models of the process being created at several levels of abstraction as well as models that capture the beliefs of the modeler about the abilities of himself, others and the aids available and models of strategies for complex problem solving. The second section of the paper extensively reviews current expert system concepts, illustrating each of them with design examples. It is argued that expert systems are knowledge based. The authors describe many of the control strategies used in today's systems, and also consider different problem representations - rules, logic and frames - and indicate when each might be preferred. The last section presents the authors views on what will be involved in creating a future expert system for design
keywords engineering, abstraction, expert systems, CAD, design process, representation, knowledge base, frames, control
series CADline
last changed 2003/06/02 10:24

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