Understanding memorability through artificial and artist intelligence.

Davis and Bainbridge reveal a consistent memorability signal for artworks, both online and in a museum setting, which is predicted by the intrinsic visual attributes of the paintings. The fusion of artificial intelligence (AI) with artistic intuition emerges as a promising avenue to deepen our understanding of what makes images memorable.

Generative adversarial networks unlock new methods for cognitive science.

Generative adversarial networks (GANs) enable computers to learn complex data distributions and sample from these distributions. When applied to the visual domain, this allows artificial, yet photorealistic images to be synthesized. Their success at this very challenging task triggered an explosion of research within the field of artificial intelligence (AI), yielding various new GAN findings and applications.

Visual affects: Linking curiosity, Aha-Erlebnis, and memory through information gain.

Current theories propose that our sense of curiosity is determined by the learning progress or information gain that our cognitive system expects to make. However, few studies have explicitly tried to quantify subjective information gain and link it to measures of curiosity. Here, we asked people to report their curiosity about the intrinsically engaging perceptual 'puzzles' known as Mooney images, and to report on the strength of their aha experience upon revealing the solution image (curiosity relief).

MemCat: a new category-based image set quantified on memorability.

Images differ in their memorability in consistent ways across observers. What makes an image memorable is not fully understood to date. Most of the current insight is in terms of high-level semantic aspects, related to the content.

Get the Picture? Goodness of Image Organization Contributes to Image Memorability.

According to Gestalt psychologists, goodness is a crucial variable for image organization. We hypothesized that these differences in goodness contribute to variability in image memorability. Building on this, we predicted that two characteristics of good organizations, (i) fast, efficient processing and (ii) robustness against transformations (e.

Incidental image memorability.

Recent studies using intentional memory tasks showed that images differ consistently in memorability. Here, we used a surprise recognition memory test. We asked how incidental encoding would affect the consistency and ranking of the memorability scores.

Image memorability across longer time intervals.

You may find some images easier to remember than others. Recent studies of visual memory have found remarkable levels of consistency for this inter-item variability across observers, suggesting that memorability can be considered an intrinsic image property. The current study replicated and extended previous results, while adopting a more traditional visual long-term memory task with retention intervals of 20 min, one day, and one week, as opposed to the previously used repeat-detection task, which typically relied on short retention intervals (5 min).