Visual analogy as a cognitive strategy in the design process. Expert versus novice performance

This study investigated the use of visual analogy in architectural design. Its purpose was to provide some understanding of the way experts and novices apply visual analogical thinking to generate satisfactory solutions during the design process. Although there are several anecdotal examples in the design literature that have reported the use of analogy, few studies have empirically explored the relationship between analogy and expertise in design problem solving. In order to provide empirical evidence, a series of controlled experiments were conducted to examine how this cognitive strategy contributed to the enhancement of design problem solving in each group of subjects. Students and architects were asked to solve a set of non-routine design problems stimulated by exposure to between-domain and within-domain visual displays, and were given explicit instructions to use analogy. Results showed that both novices and experts were able to reason by visual analogy and use deep analogs. It was found that experts identified and retrieved analogs from between-domain displays. Novices, however, identified a large number of between-domain displays, but retrieved analogs from between-domain and within-domain displays in the same measure. Novices, in contrast to experts, did not add constraints to the design problem, but produced a large number of solutions. These findings have important implications on design education. It is proposed that training novice students in the use of visual analogy can play a significant role to develop design skills in the architectural design studio. What are the differences between expert and novice performance in the domain of design? How can we help designers solve non-routine design problems while using familiar knowledge structures? The production of an unlimited number of unexpected solutions that are significantly different from earlier designs is a characteristic of non-routine design. Design problems are described as major examples of non-routine problems (Gero and Maher 1993). In design, visual analogy is a powerful problem solving strategy that can help explain new and non-routine problems in terms of familiar ones. Although there is some evidence that problem solvers have difficulty in making spontaneous use of this strategy, references concerning the use of analogy are mostly anecdotal. Moreover, differences in expertise as regards the use of visual analogy in design have rarely been reported. The main goal of this study is to provide empirical evidence regarding differences and similarities in the performance of expert and novice designers whose reasoning process involves visual analogy. Qualitative and quantitative results in the use of visual analogy during the design process are presented following a brief literature review.

[1]  G. Goldschmidt,et al.  Reasoning by Visual Analogy in Design Problem-Solving: The Role of Guidance , 2000 .

[2]  Stella Vosniadou,et al.  Similarity and analogical reasoning: Similarity and Analogical Reasoning , 1989 .

[3]  Gabriela Goldschmidt,et al.  Visual Analogy—a Strategy for Design Reasoning and Learning , 2001 .

[4]  Ömer Akin,et al.  Necessary conditions for design expertise and creativity , 1990 .

[5]  D. Gentner Structure‐Mapping: A Theoretical Framework for Analogy* , 1983 .

[6]  Robert J. Sternberg,et al.  Selection and Implementation of Strategies in Reasoning by Analogy. , 1982 .

[7]  Zhe Chen,et al.  Protagonist, Theme, and Goal Object: Effects of Surface Features on Analogical Transfer. , 1993 .

[8]  K. Holyoak,et al.  Analogical problem solving , 1980, Cognitive Psychology.

[9]  I. Begg,et al.  Problem-oriented training promotes spontaneous analogical transfer: Memory-oriented training promotes memory for training , 1991, Memory & cognition.

[10]  Stella Vosniadou,et al.  Similarity and analogical reasoning: a synthesis , 1989 .

[11]  John S. Gero,et al.  Strategic knowledge differences between an expert and a novice designer , 2001 .

[12]  Gabriela Goldschmidt,et al.  Expertise and the use of visual analogy: implications for design education , 1999 .

[13]  Steven M. Smith,et al.  The creative cognition approach. , 1995 .

[14]  Diane J. Schiano,et al.  Highs Are to Lows as Experts Are to Novices: Individual Differences in the Representation and Solution of Standardized Figural Analogies , 1989 .

[15]  J. Alba,et al.  Problem solving is not like perception: More on Gestalt theory , 1982 .

[16]  H. Simon,et al.  Perception in chess , 1973 .

[17]  Allen Newell,et al.  Human Problem Solving. , 1973 .

[18]  Allan Collins,et al.  Afterword: comments on parts I, II, and III: a framework for a theory of comparison and mapping , 1989 .

[19]  Johan Wagemans,et al.  Sketching, visual analogies and domain-expertise , 1999 .

[20]  K. Holyoak,et al.  Mathematical problem solving by analogy. , 1991, Journal of experimental psychology. Learning, memory, and cognition.

[21]  Vimla L. Patel,et al.  The general and specific nature of medical expertise: A critical look. , 1991 .

[22]  Paul J. Feltovich,et al.  Categorization and Representation of Physics Problems by Experts and Novices , 1981, Cogn. Sci..

[23]  Kenneth Kotovsky,et al.  Complex Information Processing: The Impact of Herbert A. Simon , 1989 .

[24]  John D. Bransford,et al.  New approaches to instruction: because wisdom can't be told , 1989 .

[25]  Michael S. Schadewald,et al.  The use of analogy in legal argument: problem similarity, precedent, and expertise , 1993 .

[26]  Claudia Eckert,et al.  Expertise and designer burnout , 1999 .

[27]  Susan R. Goldman,et al.  Developmental and Individual Differences in Verbal Analogical Reasoning. , 1982 .

[28]  John R. Anderson A Spreading Activation Theory of Memory , 1988 .

[29]  S. Vosniadou Analogical reasoning as a mechanism in knowledge acquisition: a developmental perspective , 1988 .

[30]  Keith J. Holyoak,et al.  Problem solving , 1990 .

[31]  L. R. Novick Analogical transfer, problem similarity, and expertise. , 1988, Journal of experimental psychology. Learning, memory, and cognition.

[32]  David J. Gilmore,et al.  Are Objects That Important? Effects of Expertise and Familiarity on Classification of Object-Oriented Code , 1995, Hum. Comput. Interact..

[33]  P. Johnson-Laird Analogy and the exercise of creativity , 1989 .

[34]  John S. Gero,et al.  Modeling Creativity and Knowledge-Based Creative Design , 1993 .

[35]  Herbert A. Simon,et al.  The Sciences of the Artificial , 1970 .

[36]  E. Parkins,et al.  Visual representation in analogical problem solving , 1987, Memory & cognition.

[37]  Gary D. Phye,et al.  Schemata Training and Transfer of an Intellectual Skill. , 1989 .