2017/09/22 by Xuefeng Liang, Liang, Xuefeng, Lixin Fan +7
Computer Science · Decision Sciences · #AI in cancer detection #Big Data Technologies and Applications #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #cs.CV
paper · pdf · doi:10.48550/arxiv.1709.07584
arxiv created 2017/09/22 · openalex publication_date 2017/09/22 · arxiv updated 2017/09/25 · openalex created_date 2017/10/06 · openalex updated_date 2026/07/28
In psychology, theory-driven researches are usually conducted with extensive laboratory experiments, yet rarely tested or disproved with big data. In this paper, we make use of 418K travel photos with traveler ratings to test the influential "broaden-and-build" theory, that suggests positive emotions broaden one's visual attention. The core hypothesis examined in this study is that positive emotion is associated with a wider attention, hence highly-rated sites would trigger wide-angle photographs. By analyzing travel photos, we find a strong correlation between a preference for wide-angle photos and the high rating of tourist sites on TripAdvisor. We are able to carry out this analysis through the use of deep learning algorithms to classify the photos into wide and narrow angles, and present this study as an exemplar of how big data and deep learning can be used to test laboratory findings in the wild.