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Workshop: NeurIPS 2023 Workshop on Machine Learning for Creativity and Design

Breaking Barriers to Creative Expression: Co-Designing and Implementing an Accessible Text-to-Image Interface

Atieh Taheri · Mohammad Izadi · Gururaj Shriram · Negar Rostamzadeh · Shaun Kane

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[ Poster
Sat 16 Dec 1:30 p.m. PST — 2:30 p.m. PST


Text-to-image generation models have grown in popularity due to their ability to produce high-quality images from a text prompt. One use for this technology is to enable the creation of more accessible art creation software. In this paper, we document the development of an alternative user interface that reduces the typing effort needed to enter image prompts by providing suggestions from a large language model, developed through iterative design and testing within the project team. The results of this testing demonstrate how generative text models can support the accessibility of text-to-image models, enabling users with a range of abilities to create visual art.

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