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The enhancement of understanding through visual representations

Published:01 April 1986Publication History

ABSTRACT

It has been argued for a long time that the representation of a problem is of crucial importance to understanding and solving it. Equally accepted is the fact that the human visual system is a powerful system to be used in information processing tasks. However, there, exist few systems which try to take advantage of these insights. We have constructed a variety of system components which automatically generate graphical representations of complex structures. We are pursuing the long-range goal of constructing a software oscilloscope which makes the invisible visible. Our tools are used in a variety of contexts: in programming environments, in intelligent tutoring systems, and in human-computer interaction in general by offering aesthetically pleasing interfaces.

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  1. The enhancement of understanding through visual representations

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              cover image ACM Conferences
              CHI '86: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
              April 1986
              362 pages
              ISBN:0897911806
              DOI:10.1145/22627

              Copyright © 1986 ACM

              Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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              Association for Computing Machinery

              New York, NY, United States

              Publication History

              • Published: 1 April 1986

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              Acceptance Rates

              CHI '86 Paper Acceptance Rate47of122submissions,39%Overall Acceptance Rate6,199of26,314submissions,24%

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