Investigating the Design Considerations for Integrating Text-to-Image Generative AI within Augmented Reality Environments

Yongquan Hu; Dawen Zhang; Mingyue Yuan; Kaiqi Xian; Don Samitha Elvitigala; June Kim; Gelareh Mohammadi; Zhenchang Xing; Xiwei Xu; Aaron Quigley

arXiv · 2303.16593

Investigating the Design Considerations for Integrating Text-to-Image Generative AI within Augmented Reality Environments

Yongquan Hu·Dawen Zhang·Mingyue Yuan·Kaiqi Xian·Don Samitha Elvitigala·June Kim·Gelareh Mohammadi·Zhenchang Xing·Xiwei Xu·Aaron Quigley

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Abstract

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.

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Yongquan Hu, Dawen Zhang, Mingyue Yuan, Kaiqi Xian, Don Samitha Elvitigala, June Kim, Gelareh Mohammadi, Zhenchang Xing, Xiwei Xu, Aaron Quigley. 2023-03-29. Investigating the Design Considerations for Integrating Text-to-Image Generative AI within Augmented Reality Environments. https://arxiv.org/abs/2303.16593

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