直觉喜欢平凡:产品设计特征如何帮助预测汽车销量

Jan R. Landwehr, A. Labroo, P. C. Ellison, A. Herrmann
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引用次数: 5

摘要

在许多市场中,设计是决定产品成功的关键因素之一。本研究为汽车设计的成功提供了深刻的见解,并提供了客观衡量设计质量的程序。作者表明,视觉设计在汽车市场上产品的成功起着重要作用。在研究中,两个视觉设计方面已经足以显著改善传统的汽车销售预测模型。视觉原型和视觉复杂性都对销售有积极的影响,同时被认为是原型和复杂的设计是展示最好结果的设计。大多数设计评估过去是基于主观测量,但研究人员采用了一种新的,客观的程序来衡量原型性和复杂性。虽然后者是通过压缩图像文件所需的磁盘空间来检测的,但测量原型性的新方法更加复杂。它依赖于图像变形技术。变形是一种技术,允许构建一个视觉合成-或平均图片-从许多单独的图片。一旦一个汽车形态被开发出来,人们就可以确定不同车型的视觉相似性,以获得它的原型。原则上,这个过程可以完全自动化,并且可以包含大量的版本。因此,这些措施似乎适合于在实践中支持设计决策过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gut Liking for the Ordinary: How Product Design Features Help Predict Car Sales
Abstract In many markets, design is one of the key factors in determining a product’s success. The present research offers insights into the role of design for the success of cars, and offers procedures to measure the quality of the designs objectively. The authors show that visual design plays a major role in a product’s success in the automobile market. In the study, two visual design aspects were already sufficient to significantly improve traditional sales forecasting models for cars. Visual prototypicality and visual complexity both had a positive impact on sales, and designs that were perceived as both prototypical and complex were the ones that displayed the best results. Most design evaluation used to be based on subjective measures, but the researcher applied a new, objective procedure to measure prototypicality and complexity. While the latter was detected by the disk space needed by the compressed image file, the new approach for measuring prototypicality was even more sophisticated. It relied on the technique of image morphing. Morphing is a technique that allows the construction of a visual synthesis – or average picture – from a number of individual pictures. Once a car morph is developed, one can determine the visual similarity of different car models to the morph in order to obtain its prototypicality. In principle, this procedure can be automated completely, and including a large number of versions is possible. These measures therefore seem suitable for supporting design decision processes in practice.
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