Can title images predict the emotions and the performance of crowdfunding projects?

Jian Ren Hou, Jie Jennifer Zhang, Kunpeng Zhang

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

Crowdfunding is a novel way to raise funds from individuals. However, taking Kickstarter for example, more than 60% of projects failed to reach the funding targets. Hence it is imperative to study how to improve the successfulness of the projects. From a design perspective, we intend to investigate that can the characteristics of title images of the projects on the search page of the crowdfunding website predict the performance of crowdfunding projects. We use objective standards to measure the aesthetic features of the title images. And we introduce emotions as important antecedents for the performance of a project. We used deep learning to extract the emotion metrics from the title images. Analysis results provide significant evidence that aesthetic attributes of images can predict emotion in images, and emotions, such as sadness and contentment, can predict the performance of crowdfunding projects. Our results provide both theoretical and practical values.

原文English
主出版物標題Proceedings of the 52nd Annual Hawaii International Conference on System Sciences, HICSS 2019
編輯Tung X. Bui
發行者IEEE Computer Society
頁面4439-4448
頁數10
ISBN(電子)9780998133126
出版狀態Published - 2019
事件52nd Annual Hawaii International Conference on System Sciences, HICSS 2019 - Maui, United States
持續時間: 2019 1月 82019 1月 11

出版系列

名字Proceedings of the Annual Hawaii International Conference on System Sciences
2019-January
ISSN(列印)1530-1605

Conference

Conference52nd Annual Hawaii International Conference on System Sciences, HICSS 2019
國家/地區United States
城市Maui
期間19-01-0819-01-11

All Science Journal Classification (ASJC) codes

  • 工程 (全部)

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