Skip to content
Design principles for text-to-image generative artificial intelligence creativity support tools for visual design — Herath et al. (2026) episode artwork

Sep 14, 2026 1 hr 44 min

Design principles for text-to-image generative artificial intelligence creativity support tools for visual design — Herath et al. (2026)

from 1 More Paper

Generative AI (GenAI) presents significant opportunities, particularly for creative work like visual design. GenAI can effectively address creative challenges like the “blank page” problem by enabling rapid visual conceptualisation, thereby enhancing productivity in visual design tasks. However, organisations face significant challenges in integrating off-the-shelf, untamed foundation models, whose complex user interfaces are misaligned with production-oriented workflows, exacerbating issues such as AI illiteracy, employee resistance, and job displacement. To facilitate GenAI integration into creative workflows while addressing these challenges, we conduct an action design research study at Ubisoft, where we develop and introduce a GenAI-enabled creativity support tool (CST)—comprising workflow guidance and simplified user interface on Stable Diffusion models—as a bridging tool in concept art creation processes. Our user studies and evaluations indicate that the artefact increases user acceptance, improves productivity, and adds value to both concept artists and their studios. In addition to detailing the artefact’s design and evaluation, we present seven design principles for text-to-image GenAI CSTs for visual design. These principles contribute to the academic discourse on human-AI collaboration by filling a critical gap in prescriptive design knowledge and emphasising the role of GenAI in augmenting, rather than replacing, human skill and ingenuity. This Full Reading presents the paper's text as an audio edition. Abstract source: pdf-extraction Authors: Savindu Herath, Amirsiavosh Bashardoust, Yonah Bole, Yash Raj Shrestha Published in: European Journal of Information Systems Publication date: 2026-01-20 Read the paper Source license: Creative Commons Attribution 4.0 International Narration: Read verbatim by an AI-generated voice. The authors and publisher do not sponsor or endorse this recording. Brief episode

Episode details come from the podcast's RSS feed.

Embed this episode

Ready to play

Design principles for text-to-image generative artificial intelligence creativity support tools for visual design — Herath et al. (2026)

0:00 1:44:43

No transcript yet.

Requests help us decide what to transcribe next.

Frequently asked questions

How long is this episode of 1 More Paper?

This episode is 1 hour and 44 minutes long.

When was this 1 More Paper episode published?

This episode was published on September 14, 2026.

Can I download this 1 More Paper episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.