Everyday AR through AI-in-the-Loop
Ryo Suzuki, Mar Gonzalez-Franco, Misha Sra, David Lindlbauer
TL;DR
Everyday AR envisions AR as an always-available layer in daily life powered by AI-in-the-loop systems. The paper outlines a focused workshop design to explore adaptive, context-aware AR, generative content, always-on LLM-powered assistants, accessible design, and real-world-oriented AI agents, aiming to bridge AR and AI. It identifies usage scenarios, requirements, and challenges including accessibility, privacy, explainability, and sustainability, and proposes a shared agenda with design activities, position papers, and future events. The goal is to establish a community and a reference paper to consolidate research on AI-enabled everyday AR.
Abstract
This workshop brings together experts and practitioners from augmented reality (AR) and artificial intelligence (AI) to shape the future of AI-in-the-loop everyday AR experiences. With recent advancements in both AR hardware and AI capabilities, we envision that everyday AR -- always-available and seamlessly integrated into users' daily environments -- is becoming increasingly feasible. This workshop will explore how AI can drive such everyday AR experiences. We discuss a range of topics, including adaptive and context-aware AR, generative AR content creation, always-on AI assistants, AI-driven accessible design, and real-world-oriented AI agents. Our goal is to identify the opportunities and challenges in AI-enabled AR, focusing on creating novel AR experiences that seamlessly blend the digital and physical worlds. Through the workshop, we aim to foster collaboration, inspire future research, and build a community to advance the research field of AI-enhanced AR.