Human-AI co-creation: evaluating the impact of large-scale text-to-image generative models on the creative process
Turchi, Tommaso, Carta, Silvio ORCID: 0000-0002-7586-3121, Ambrosini, Luciano and Malizia, Alessio (2023) Human-AI co-creation: evaluating the impact of large-scale text-to-image generative models on the creative process. In: Spano, Lucio Davide, Schmidt, Albrecht, Santoro, Carmen and Stumpf, Simone, (eds.) End-User Development 9th International Symposium, IS-EUD 2023, Cagliari, Italy, June 6th – 8th 2023, Proceedings. Lecture Notes in Computer Science (LNCS), 13917 . Springer, Cham, pp. 35-51. ISBN 978-3031344329; 978-3031344336 ISSN 0302-9743 (Print), 1611-3349 (Online) (doi:https://doi.org/10.1007/978-3-031-34433-6_3)
|
PDF (Abstract of book chapter and Bibliography)
44319_CARTA_Human_AI _co_creation_Evaluating_the_impact_of_large_scale_text_to_image_generative_models.pdf - Bibliography Download (280kB) | Preview |
Abstract
Large-scale Text-to-image Generative Models (LTGMs) are a cutting-edge class of Artificial Intelligence (AI) algorithms specifically designed to generate images from natural language descriptions (prompts). These models have demonstrated impressive capabilities in creating high-quality images from a wide range of inputs, making them powerful tools for non-technical users to tap into their creativity. The field is advancing rapidly and we are witnessing the emergence of an increasing number of tools, such as DALL-E, MidJourney and StableDiffusion, that are leveraging LTGMs to support creative work across various domains. However, there is a lack of research on how the interaction with these tools might affect the users’ creativity and their ability to control the generated outputs. In this paper, we investigate how the interaction with LTGMs-based tools might impact creativity by analyzing the feedback provided by groups of design students developing an architectural project with the help of LTGMs tools.
Item Type: | Book Section |
---|---|
Uncontrolled Keywords: | Generative AI; creativity; Human-AI; AI-driven design process |
Subjects: | N Fine Arts > NC Drawing Design Illustration Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General) |
Faculty / School / Research Centre / Research Group: | Faculty of Liberal Arts & Sciences Faculty of Liberal Arts & Sciences > School of Design (DES) |
Last Modified: | 26 Sep 2023 10:07 |
URI: | http://gala.gre.ac.uk/id/eprint/44319 |
Actions (login required)
View Item |
Downloads
Downloads per month over past year