19 citations · 61 across the 9 of their papers we have counts for
9 papers
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…
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…
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…