Aesthetics of hotel photos and its impact on consumer engagement: A computer vision approach

Abstract

Visual content has been an essential marketing approach to exerting enjoyable virtual experiences and inducing consumer engagement. However, despite the widespread acknowledgment of the importance of visual content, how would the exerted aesthetic perception affect consumer engagement is still unexplored. Adopting a deep convolutional neural network model, this study quantifies the aesthetics of thumbnail images and managerial photos of hotels and thereby explores the impact of hotel photo aesthetics on consumer engagement. Aesthetically enjoyable photos are shown effective not only to encourage more consumers to engage in word-of-mouth discussions but also to promote consumer ratings. Such impact is also significantly moderated by hotel price. This study illustrates a viable approach to probing the perceived aesthetics of visual content in the hospitality field, and the uncovered significant role of aesthetics highlights the necessity of further attention to the cognitive perceptions of visual marketing content in both theoretical research and practical management.