The effects of the aesthetics and composition of hotels' digital photo images on online booking decisions
Cuesta-Valino, Kazakov, Gutierrez-Rodriguez and Lima Rua classify hotel photographs with a neural network image classifier and apply logistic regression and fuzzy cognitive mapping to find image properties linked to positive guest perception and bookings. They identify four properties: light and time of shooting, colour scheme, human presence and shooting angle, and describe the work as an early use of computer vision on this question. The full text was not read.
Cuesta-Valino, Kazakov, Gutierrez-Rodriguez and Lima Rua classify hotel photographs with a neural network image classifier and apply logistic regression and fuzzy cognitive mapping to find image properties linked to positive guest perception and bookings. They identify four properties: light and time of shooting, colour scheme, human presence and shooting angle, and describe the work as an early use of computer vision on this question. The full text was not read.
Written from the abstract and bibliographic record, 2026-11-03.
What our sources record
Recorded when this source was checked, figures included, with page references and quotation marks removed.
Cuesta-Valiño, P., Kazakov, S., Gutiérrez-Rodríguez, P., & Lima Rua, O. (2023). The effects of the aesthetics and composition of hotels' digital photo images on online booking decisions. Humanities and Social Sciences Communications, 10(1), 59. doi:10.1057/s41599-023-01529-w https://doi.org/10.1057/s41599-023-01529-w