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cs.HC2025

Canvas3D: Empowering Precise Spatial Control for Image Generation with Constraints from a 3D Virtual Canvas

Runlin Duan, Yuzhao Chen, Rahul Jain +3

Generative AI (GenAI) has significantly advanced the ease and flexibility of image creation. However, it remains a challenge to precisely control spatial compositions, including ob…

cs.HC2025

An Exploratory Study on Multi-modal Generative AI in AR Storytelling

Hyungjun Doh, Jingyu Shi, Rahul Jain +2

Storytelling in AR has gained attention due to its multi-modality and interactivity. However, generating multi-modal content for AR storytelling requires expertise and efforts for…

cs.HC2025

Visualizing Causality in Mixed Reality for Manual Task Learning: An Exploratory Study

Rahul Jain, Jingyu Shi, Andrew Benton +4

Mixed Reality (MR) is gaining prominence in manual task skill learning due to its in-situ, embodied, and immersive experience. To teach manual tasks, current methodologies break th…

cs.HC2025

CARING-AI: Towards Authoring Context-aware Augmented Reality INstruction through Generative Artificial Intelligence

Jingyu Shi, Rahul Jain, Seungguen Chi +4

Context-aware AR instruction enables adaptive and in-situ learning experiences. However, hardware limitations and expertise requirements constrain the creation of such instructions…

cs.HC2024

avaTTAR: Table Tennis Stroke Training with On-body and Detached Visualization in Augmented Reality

Dizhi Ma, Xiyun Hu, Jingyu Shi +5

Table tennis stroke training is a critical aspect of player development. We designed a new augmented reality (AR) system, avaTTAR, for table tennis stroke training. The system prov…