@inproceedings{1ed41df13f5845ccac89d58bbb5f2337,
title = "The impact of photo aesthetics on online consumer shopping behavior: An image-processing-enabled empirical study",
abstract = "Determinants of consumer's shopping behavior are of long-term interest to researchers. Since product photos directly aid consumers' understanding of products, retailers often put a lot of effort into polishing them. However, there is limited research on the impact of product photos on shopping behavior. This research takes advantage of image-processing techniques to study product photos' impact. These techniques allow us to investigate a large set of photo characteristics simultaneously in an empirical study. To rule out possible confounding factors, we use a real company dataset from a social shopping Website, which has a simple interface allowing consumers to judge products mainly based on their photos. We employ two-stage nested logit model embedded with differences-in-differences approach and examine product photo characteristics from the aspects of color, composition, complexity, and model face. We found that consumers prefer to click product photos with a warmer color, a larger key object, appropriate complexity.",
keywords = "Big data, Image-processing, Nested logit model, Visual aesthetics",
author = "Mengyue Wang and Xin Li and Chau, {Patrick Y.K.}",
note = "Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; 2016 International Conference on Information Systems, ICIS 2016 ; Conference date: 11-12-2016 Through 14-12-2016",
year = "2016",
language = "English",
series = "2016 International Conference on Information Systems, ICIS 2016",
publisher = "Association for Information Systems",
booktitle = "2016 International Conference on Information Systems, ICIS 2016",
address = "United States",
}