“…Reviewing the literature on measuring aesthetic appeal in the visual domain, we found a great variety in scales and a broad range of methods, including preference ranking tasks (Axelsson, 2007), photo quality assessment by experts (Cerosaletti & Loui, 2009) or by crowdsourcing (Lebreton, Raake, & Barkowsky, 2016), liking scales (Gershoni & Kobayashi, 2006; Tinio, Leder, & Strasser, 2011), as well as rating scales for various aesthetic descriptors, including beautiful-ugly (Jacobsen, Buchta, Köhler, & Schröger, 2004), attractive-unattractive, pleasant-unpleasant, and interesting-uninteresting (Russell & George, 1990). There is also a growing body of research dealing with deep learning and convolutional neural networks (CNN) to rate aesthetics of visual stimuli (e.g., Kong, Shen, Lin, Mech, & Fowlkes, 2016) and to model aesthetic perception (e.g., Denzler, Rodner, & Simon, 2016).…”