Perception and Interpretation: Points of Focus in Design Sketches
Name
Perception and interpretation.pdf
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1.13 MB
Format
Adobe PDF
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Author(s) •
Sagan, Emma
Yang, Maria C.
Date Issued
August 2012
Journal
Volume 7: 9th International Conference on Design Education; 24th International Conference on Design Theory and Methodology
Publisher
ASME International
Citation
Sagan, Emma, and Maria Yang. “Perception and Interpretation: Points of Focus in Design Sketches.” Volume 7: 9th International Conference on Design Education; 24th International Conference on Design Theory and Methodology (August 12, 2012). © 2012 ASME International
Version
Final published version
Abstract
During the design of a product, designers may show a potential customer or other stakeholder a drawing of a design concept in order to elicit feedback that can be used to inform further development of the design. Designers may desire feedback on specific aspects of a concept, such as its shape or size, but viewers may in fact focus on other elements of the drawing itself, such as color or surface texture. Viewers translate their visual perception of these representations into perceived understanding, but how can we know whether their interpretations are consistent with the designer’s intention? This paper evaluates the translation of four different product sketches by 163 participants. This study also considers how aesthetic preference and concrete information might influence a viewer’s opinion of an object. Results suggest that viewers were likely to recall physical aspects from a sketch of a product (material, shape) as well as its function. Findings also suggest that individuals preferred images that were overall more informative rather than aesthetically pleasing. Additionally, our research suggests that individuals were more likely to recall the texture, material or perceived efficiency of an object than recall the name of the object, its function, or its shape.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Massachusetts Institute of Technology. Engineering Systems Division
Massachusetts Institute of Technology. Institute for Data, Systems, and Society
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1115/DETC2012-71345