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Found 8 papers, 0 papers with code
Exploring Augmentation and Cognitive Strategies for AI based Synthetic Personae
Large language models (LLMs) hold potential for innovative HCI research, including the creation of synthetic personae.
Study of detecting behavioral signatures within DeepFake videos
Our results indicate that there could be a behavioral signature that is detectable from a person's movements that is separate from their visual appearance, and that this behavioral signature could be used to distinguish a deep fake from a properly captured video.
Empathic AI Painter: A Computational Creativity System with Embodied Conversational Interaction
There is a growing recognition that artists use valuable ways to understand and work with cognitive and perceptual mechanisms to convey desired experiences and narrative in their created artworks (DiPaola et al., 2010; Zeki, 2001).
Using an AI creativity system to explore how aesthetic experiences are processed along the brains perceptual neural pathways
Specifically, we show how time-based AI created media can be used to explore the nature of the dual-pathway neuro-architecture of the human visual system and how this relates to higher cognitive judgments such as aesthetic experiences that rely on these divergent information streams.
Informing Artificial Intelligence Generative Techniques using Cognitive Theories of Human Creativity
The common view that our creativity is what makes us uniquely human suggests that incorporating research on human creativity into generative deep learning techniques might be a fruitful avenue for making their outputs more compelling and human-like.
Deep Convolutional Networks as Models of Generalization and Blending Within Visual Creativity
We examine two recent artificial intelligence (AI) based deep learning algorithms for visual blending in convolutional neural networks (Mordvintsev et al. 2015, Gatys et al. 2015).
How Did Humans Become So Creative? A Computational Approach
Using a computational model of cultural evolution in which neural network based agents evolve ideas for actions through invention and imitation, we tested the hypothesis that human creativity began with onset of the capacity for recursive recall.
Incorporating characteristics of human creativity into an evolutionary art algorithm
A perceived limitation of evolutionary art and design algorithms is that they rely on human intervention; the artist selects the most aesthetically pleasing variants of one generation to produce the next.
