19 citations · 62 across the 14 of their papers we have counts for
14 papers
OrchestrXR: A Multi-Agent System for Idea-to-Prototype XR Study Authoring
Shuqi Liao, Chenfei Zhu, Karthik Ramani +1
Extended Reality (XR) has become an important interaction paradigm in Human-Computer Interaction (HCI). XR studies are used to investigate interaction, perception, and user behavio…
DYNAMO: Dependency-Aware Deep Learning Framework for Articulated Assembly Motion Prediction
Mayank Patel, Rahul Jain, Asim Unmesh +1
Understanding the motion of articulated mechanical assemblies from static geometry remains a core challenge in 3D perception and design automation. Prior work on everyday articulat…
SketchConcept: Sketching-based Concept Recomposition for Product Design using Generative AI
Runlin Duan, Chenfei Zhu, Yuzhao Chen +4
Conceptual product design requires designers to explore the design space of visual and functional concepts simultaneously. Sketching has long been adopted to empower concept explor…
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…
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…
DesignFromX: Empowering Consumer-Driven Design Space Exploration through Feature Composition of Referenced Products
Runlin Duan, Chenfei Zhu, Yuzhao Chen +3
Industrial products are designed to satisfy the needs of consumers. The rise of generative artificial intelligence (GenAI) enables consumers to easily modify a product by prompting…
Interactive authoring of outcome-oriented lesson plans for immersive Virtual Reality training
Ananya Ipsita, Ramesh Kaki, Mayank Patel +3
Immersive Virtual Reality (iVR) applications have shown immense potential for skill training and learning in manufacturing. However, authoring of such applications requires technic…
Investigating Creativity in Humans and Generative AI Through Circles Exercises
Runlin Duan, Shao-Kang Hsia, Yuzhao Chen +3
Generative AI (GenAI) is transforming the creativity process. However, as presented in this paper, GenAI encounters "narrow creativity" barriers. We observe that both humans and Ge…
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…
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…
Understanding Generative AI in Art: An Interview Study with Artists on G-AI from an HCI Perspective
Jingyu Shi, Rahul Jain, Runlin Duan +1
The emergence of Generative Artificial Intelligence (G-AI) has changed the landscape of creative arts with its power to compose novel artwork and thus brought ethical concerns. Des…
InfoGCN++: Learning Representation by Predicting the Future for Online Human Skeleton-based Action Recognition
Seunggeun Chi, Hyung-gun Chi, Qixing Huang +1
Skeleton-based action recognition has made significant advancements recently, with models like InfoGCN showcasing remarkable accuracy. However, these models exhibit a key limitatio…
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…
An HCI-Centric Survey and Taxonomy of Human-Generative-AI Interactions
Jingyu Shi, Rahul Jain, Hyungjun Doh +2
Generative AI (GenAI) has shown remarkable capabilities in generating diverse and realistic content across different formats like images, videos, and text. In Generative AI, human…