Detection of a change in photorealism1

The perceived degree of photorealism is interpreted as reflecting the artificialness or naturalness of images. Natural images (real‐scene photographs) are images with high degrees of naturalness, while artificial images (e.g., paintings) are images with low degrees of naturalness. Alternatively, natural images are images with low degrees of artificialness, while artificial images are images with high degrees of artificialness. We attempted to disambiguate these two interpretations of the perception of photorealism by using a change‐blindness paradigm. Participants observed an image sequence showing a gradual transformation from a natural image to an artificial image or vice versa, and reported changes they noticed. More participants reported noticing changes in photorealism for the natural‐to‐artificial transformations than for the opposite transformations. This asymmetry indicates that disappearing naturalness was detected more readily than emerging naturalness, or alternatively, emerging artificialness was detected more readily than disappearing artificialness. The results for the control conditions showed that the emergence of visual information was detected more readily than the disappearance. These results suggest that the perception of photorealism should be considered as the perception of artificialness.     

Enhancing transparency of the research process to increase accuracy of findings: A guide for relationship researchers

The purpose of this paper is to extend to the field of relationship science, recent discussions and suggested changes in open research practises. We demonstrate different ways that greater transparency of the research process in our field will accelerate scientific progress by increasing accuracy of reported research findings. Importantly, we make concrete recommendations for how relationship researchers can transition to greater disclosure of research practices in a manner that is sensitive to the unique design features of methodologies employed by relationship scientists. We discuss how to implement these recommendations for four different research designs regularly used in relationship research and practical limitations regarding implementing our recommendations and provide potential solutions to these problems.