Gut Liking for the Ordinary: How Product Design Features Help Predict Car Sales

Jan R. Landwehr, A. Labroo, P. C. Ellison, A. Herrmann
{"title":"Gut Liking for the Ordinary: How Product Design Features Help Predict Car Sales","authors":"Jan R. Landwehr, A. Labroo, P. C. Ellison, A. Herrmann","doi":"10.2478/gfkmir-2014-0025","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":30678,"journal":{"name":"GfK Marketing Intelligence Review","volume":"35 1","pages":"38 - 43"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"GfK Marketing Intelligence Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/gfkmir-2014-0025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
直觉喜欢平凡:产品设计特征如何帮助预测汽车销量
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。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
审稿时长
18 weeks
期刊最新文献
Recreating Intimacy With Connected Consumers Seeding on Moving Ground: How Understanding Network Instability Can Improve Message Dissemination Business Model Innovation: How to Create Value in a Digital World From Corporate Philanthropy to Creating Shared Value: Big Pharma’s New Business Models in Developing Markets Branding Raw Material to Improve Human Rights: Intel’s Ban on Conflict Minerals
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1