Interpretation as driver for psychological creativity

Kelly, Nick and Gero, John S. (2011) Interpretation as driver for psychological creativity. In: 8th ACM conference on Creativity and Cognition (C&C 2011): Creativity and Technology, 3-6 Nov 2011, Atlanta, Georgia.

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This paper describes some acts of psychological creativity as phenomena arising from changes to a situation, brought about through interpretation. It presents a way of representing a situation as a schema of concepts made up from perceptual dimensions. It shows the utility of concepts as being changed by the situation within which they are used. An example of this is described, in which the information within a concept is unchanged yet its use becomes different through salience weighting. A computational implemented example is presented as a generate-and-interpret model that produces country growth indicators and then interprets them and repeats this process. The situation, and the space of possible designs, is changed through the act of interpretation. It is suggested that interpretation can be a driver for changing situations – something that looks like P-creativity to an outside observer.

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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Poster)
Refereed: Yes
Item Status: Live Archive
Additional Information: Copyright is held by the author/owner. This publication is copyright. It may be reproduced in whole or in part for the purposes of study, research, or review, but is subject to the inclusion of an acknowledgment of the source.
Faculty/School / Institute/Centre: Historic - Australian Digital Futures Institute (8 Dec 2010 - 6 Jul 2016)
Faculty/School / Institute/Centre: Historic - Australian Digital Futures Institute (8 Dec 2010 - 6 Jul 2016)
Date Deposited: 23 Sep 2014 23:10
Last Modified: 03 Jul 2017 03:55
Uncontrolled Keywords: situated cognition; design; interpretation; situatedness; p-creativity; generate-and-interpret
Fields of Research (2008): 12 Built Environment and Design > 1204 Engineering Design > 120405 Models of Engineering Design
17 Psychology and Cognitive Sciences > 1702 Cognitive Sciences > 170202 Decision Making
12 Built Environment and Design > 1201 Architecture > 120101 Architectural Design
Fields of Research (2020): 40 ENGINEERING > 4010 Engineering practice and education > 401001 Engineering design
52 PSYCHOLOGY > 5204 Cognitive and computational psychology > 520402 Decision making
33 BUILT ENVIRONMENT AND DESIGN > 3301 Architecture > 330102 Architectural design
Socio-Economic Objectives (2008): E Expanding Knowledge > 97 Expanding Knowledge > 970112 Expanding Knowledge in Built Environment and Design
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