ArtAI4DS: AI Art and Its Empowering Role in Digital Storytelling

Fernandes, Teresa; Nisi, Valentina; Nunes, Nuno; James, Stuart

Abstract

In an era of global interconnections, storytelling is a compelling medium for fostering understanding, building connections, and facilitating cultural exchange. Throughout history, visual imagery has been used to enrich narratives. However, this has been a privilege for those with artistic skills. Artificial Intelligence, specifically Generative AI, has the potential to democratize the process, allowing individuals to bring their narratives to life visually, regardless of their artistic prowess. To address this challenge, we developed an AI-powered tool called ArtAI4DS (Art AI for Digital Storytelling), that employs generative images (i.e., from Stable Diffusion) created from story-derived keywords. ArtAI4DS emerged from a research process starting with a ‘Wizard of Oz’ pre-workshop, which informed the structure of a subsequent co-design workshop. Here, participants’ hand-drawn images were compared with AI-generated ones, providing insights into user preferences and tool efficacy. The ArtAI4DS then went through four iterative prototypes, drawing valuable insights from various participants. The tool’s refinement process balanced the intricate duality of human creativity and technological innovation, culminating in an artistic expression platform that transforms stories into vivid and captivating images. The final tool, evaluated through user interviews and AttrakDiff questionnaire, showcases its potential as an engaging platform for transforming narratives with solid user affirmation of its motivational and emotional resonance.

Citation

Fernandes, T., Nisi, V., Nunes, N., & James, S. (2024, September). ArtAI4DS: AI Art and Its Empowering Role in Digital Storytelling. Presented at IFIP International Conference on Entertainment Computing, Manaus, Brazil

• Presentation Conference Type: Conference Paper (published)
• Conference Name: IFIP International Conference on Entertainment Computing
• Start Date: Sep 30, 2024
• End Date: Oct 3, 2024
• Acceptance Date: Jun 14, 2024
• Deposit Date: Oct 21, 2024
• Publicly Available Date: Oct 24, 2024
• Print ISSN: 0302-9743
• Publisher: Springer
• Peer Reviewed: Peer Reviewed
• Series Title: Lecture Notes in Computer Science
• DOI: https://doi.org/10.1007/978-3-031-74353-5_6
• Public URL: https://durham-repository.worktribe.com/output/2978043