Abstract
The author’s artistic research explores media production methods that decentralize reliance on spoken or written language, developing embodied methodologies to support the nexus of human imagination, non-verbal thought, and creative practice. While generative AI image creation appears linguistically dominated due to its reliance on written prompts, these technologies introduce new digital image-making processes that may, paradoxically, diminish linguistic dominance in imagination and media workflows. Analyzing the author’s stop-motion animation techniques—an embodied methodology fostering non-linguistic thinking through painted sequences of still digital images—provides a conceptual framework for understanding ‘animation writing’ as an embodied media practice that enables artists to ‘touch’ the digital image. Similarly, generative AI, through algorithmic language processing, reformats human cognition—often naturally pre-linguistic—by re-presenting linguistic thought as visual imagery. In doing so, AI technologies disrupt linguistic primacy, allowing artists to again ‘touch’ the digital image anew via an algorithmic ‘technology of the imagination.’ With digital images generated frame by frame via interactive, near-instantaneous, and intuitively written prompts, how does this process cultivate a newly ‘animated imagination’? These shifts may extend beyond media, evolving new forms of language itself.
Presenters
Laura CechanowiczAssistant Professor, School of Arts, Media and Engineering, Arizona State University, Arizona, United States
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
KEYWORDS
Theory, Media, Stop-Motion, Animation, Generative Ai, Digital Image, Language, Embodiment
