11 citations · 20 across the 2 of their papers we have counts for
3 papers
cs.HC2025★ 9 cited
Guided Reality: Generating Visually-Enriched AR Task Guidance with LLMs and Vision Models
Ada Yi Zhao, Aditya Gunturu, Ellen Yi-Luen Do +1
Large language models (LLMs) have enabled the automatic generation of step-by-step augmented reality (AR) instructions for a wide range of physical tasks. However, existing LLM-bas…
cs.HC2025
MapStory: Prototyping Editable Map Animations with LLM Agents
Aditya Gunturu, Ben Pearman, Keiichi Ihara +4
We introduce MapStory, an LLM-powered animation prototyping tool that generates editable map animation sequences directly from natural language text by leveraging a dual-agent LLM…
cs.HC2025★ 11 cited
From Following to Understanding: Investigating the Role of Reflective Prompts in AR-Guided Tasks to Promote Task Understanding
Nandi Zhang, Yukang Yan, Ryo Suzuki
Augmented Reality (AR) is a promising medium for guiding users through tasks, yet its impact on fostering deeper task understanding remains underexplored. This paper investigates t…