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Design Science Journal
Papers

A QUANTITATIVE MODEL FOR IDENTIFYING REGIONS OF DESIGN VISUAL ATTRACTION AND APPLICATION TO AUTOMOBILE STYLING

A QUANTITATIVE MODEL FOR IDENTIFYING REGIONS OF DESIGN VISUAL ATTRACTION AND APPLICATION TO AUTOMOBILE STYLING

Year: 2016

Section: INDUSTRIAL DESIGN

Editor: Marjanovic Dorian, Storga Mario, Pavkovic Neven, Bojcetic Nenad, Skec Stanko

Author: Pan Y., Burnap A., Liu Y., Lee H., Gonzalez R., Papalambros P. Y.

Series: DESIGN

Section: INDUSTRIAL DESIGN

Pages: 2157-2174

Abstract

Analysis of design regions of visual attention that affect aesthetic appeal is an important topic for both practicing designers and design researchers. The paper introduces a data-driven methodology consisting of four stages: (1) design feature learning, (2) design attribute prediction, (3) salient feature selection, and (4) salient feature visualization. Using this methodology, we making inroads to inverting the nonlinear function from design images and design aesthetic attributes, and give preliminary results for an automotive styling study.

Keywords: visual attention, design aesthetic attribute, quantitative model, data-driven, automobile styling

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ds endorsed conferenceDESIGN 2016 - 14th International Design Conference

DESIGN 2016 - 14th International Design ConferenceThe DESIGN Conference programme offers broad exchange possibilities to researchers and practitioners, strategic decision makers, managers, design and engineering professionals, national or regional agencies or governmental bodies. The goal of DESIGN Conference is to bring together researchers and practitioners who have worked on or thought about engineering and industrial design from a variety of perspectives, disciplines, and fields: engineering, aesthetics, ergonomics, psychology, sociology...

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Keywords
Design 2010