Design principles for text-to-image generative artificial intelligence creativity support tools for visual design

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Authors: Savindu Herath, Amirsiavosh Bashardoust, Yonah Bole, Yash Raj Shrestha
Cited by: 11
References: 74

Abstract

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.

Fields of Study & Subjects

Design Education and Practice Architecture and Computational Design Innovative Human-Technology Interaction

Publication details

Journal / source
European Journal of Information Systems
Publisher
Informa UK Limited
Volume
35
Issue
4
Pages
679–704
Publication date
20 January 2026
Language
EN