Generative AI for Accessible and Inclusive Extended Reality
Jens Grubert, Junlong Chen, Per Ola Kristensson

TL;DR
This paper explores how AI-generated content can make extended reality more accessible and inclusive by reducing technical barriers and enhancing content creation and interaction.
Contribution
It analyzes benefits and challenges of using AI for creating accessible virtual environments, highlighting new opportunities and issues in the field.
Findings
AIGC reduces need for 3D modeling expertise
Multimodal input enhances virtual environment creation
Foundation models introduce specific accessibility challenges
Abstract
Artificial Intelligence-Generated Content (AIGC) has the potential to transform how people build and interact with virtual environments. Within this paper, we discuss potential benefits but also challenges that AIGC has for the creation of inclusive and accessible virtual environments. Specifically, we touch upon the decreased need for 3D modeling expertise, benefits of symbolic-only as well as multimodal input, 3D content editing, and 3D model accessibility as well as foundation model-specific challenges.
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Taxonomy
TopicsAugmented Reality Applications
