no code implementations • 16 Apr 2024 • Rafael Arias Gonzalez, Steve DiPaola
Large language models (LLMs) hold potential for innovative HCI research, including the creation of synthetic personae.
no code implementations • 6 Aug 2022 • Qiaomu Miao, Sinhwa Kang, Stacy Marsella, Steve DiPaola, Chao Wang, Ari Shapiro
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.
no code implementations • 28 May 2020 • Ozge Nilay Yalcin, Nouf Abukhodair, Steve DiPaola
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).
no code implementations • 15 Sep 2019 • Vanessa Utz, Steve DiPaola
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.
no code implementations • 11 Dec 2018 • Steve DiPaola, Liane Gabora, Graeme McCaig
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.
no code implementations • 8 Oct 2016 • Graeme McCaig, Steve DiPaola, Liane Gabora
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).
no code implementations • 23 Aug 2013 • Liane Gabora, Steve DiPaola
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.
no code implementations • 9 Jan 2010 • Steve DiPaola, Liane Gabora
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.