Gauen Son's paper, titled "Scene wheels: Measuring perception and memory of real-world scenes with a continuous stimulus space", is now published online at Behavior Research Methods. In collaboration with Dirk Bernhardt-Walter, Gaeun developed a novel method for generating continuous stimulus spaces of synthetic naturalistic scenes with a generative adversarial network (GAN). To validate the method, we demonstrated that 1) human judgements of perceptual similarity aligned with distance in the continuous space and 2) the precision of working memory representations (as indexed with a continuous report paradigm) varies according to the geometry of the scene spaces. Here are all the links: paper, OSF page including example code, and demo of working memory experiment. And, check out the press release!
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