Generative Artificial Intelligence (GenAI) has emerged as a fundamental component of intelligent interactive systems, enabling the automatic generation of multimodal media content. The continuous enhancement in the quality of Artificial Intelligence-Generated Content (AIGC), including but not limited to images and text, is forging new paradigms for its application, particularly within the domain of Augmented Reality (AR). Nevertheless, the application of GenAI within the AR design process remains opaque. This paper aims to articulate a design space encapsulating a series of criteria and a prototypical process to aid practitioners in assessing the aptness of adopting pertinent technologies. The proposed model has been formulated based on a synthesis of design insights garnered from ten experts, obtained through focus group interviews. Leveraging these initial insights, we delineate potential applications of GenAI in AR.
@article{arxiv.2303.16593,
title = {Investigating the Design Considerations for Integrating Text-to-Image Generative AI within Augmented Reality Environments},
author = {Yongquan Hu and Dawen Zhang and Mingyue Yuan and Kaiqi Xian and Don Samitha Elvitigala and June Kim and Gelareh Mohammadi and Zhenchang Xing and Xiwei Xu and Aaron Quigley},
journal= {arXiv preprint arXiv:2303.16593},
year = {2024}
}