17 citations · 46 across the 13 of their papers we have counts for
14 papers
MiXR: Harvesting and Recomposing Geometry from Real-World Objects for In-Situ 3D Design
Faraz Faruqi, Demircan Tas, Arthur Caetano +6
Recent developments in 3D generative AI enable users to create bespoke 3D models from text or image prompts. However, these approaches provide limited control over spatial structur…
Grand Challenges around Designing Computers' Control Over Our Bodies
Florian 'Floyd' Mueller, Nadia Bianchi-Berthouze, Misha Sra +21
Advances in emerging technologies, such as on-body mechanical actuators and electrical muscle stimulation, have allowed computers to take control over our bodies. This presents opp…
How Users Perceive Mixed-Initiative AI: Attitudes Toward Assistance in Problem Solving
Yunhao Luo, Arthur Caetano, Avinash Ajit Nargund +2
In mixed-initiative systems, the mode of AI assistance delivery can be as consequential as the assistance itself. We investigated two assistance delivery modes: on-demand help (use…
Understanding Role Switching in Human-AI Collaboration through Multimodal Behavioral Signals
Avinash Ajit Nargund, Arthur Caetano, Kevin Yang +7
Human-AI collaboration often requires dividing complex tasks into complementary subtasks. As a task unfolds, users may want to shift which subtasks they perform and which their AI…
XARP Tools: An Extended Reality Platform for Humans and AI Agents
Arthur Caetano, Radha Kumaran, Kelvin Jou +2
Building XR-AI research prototypes requires navigating two largely separate ecosystems. Mainstream XR development relies on C#/C++ and game engines, while AI development is centere…
Agentic Workflows for Conversational Human-AI Interaction Design
Arthur Caetano, Kavya Verma, Atieh Taheri +5
Conversational human-AI interaction (CHAI) have recently driven mainstream adoption of AI. However, CHAI poses two key challenges for designers and researchers: users frequently ha…
GraspR: A Computational Model of Spatial User Preferences for Adaptive Grasp UI Design
Arthur Caetano, Yunhao Luo, Adwait Sharma +1
Grasp User Interfaces (grasp UIs) enable dual-tasking in XR by allowing interaction with digital content while holding physical objects. However, current grasp UI design practices…
An Interaction Design Toolkit for Physical Task Guidance with Artificial Intelligence and Mixed Reality
Arthur Caetano, Alejandro Aponte, Misha Sra
Physical skill acquisition, from sports techniques to surgical procedures, requires instruction and feedback. In the absence of a human expert, Physical Task Guidance (PTG) systems…
Virtual Steps: The Experience of Walking for a Lifelong Wheelchair User in Virtual Reality
Atieh Taheri, Arthur Caetano, Misha Sra
Many people often take walking for granted, but for individuals with mobility disabilities, this seemingly simple act can feel out of reach. This reality can foster a sense of disc…
Virtual Buddy: Redefining Conversational AI Interactions for Individuals with Hand Motor Disabilities
Atieh Taheri, Purav Bhardwaj, Arthur Caetano +2
Advances in artificial intelligence have transformed the paradigm of human-computer interaction, with the development of conversational AI systems playing a pivotal role. These sys…
GraV: Grasp Volume Data for the Design of One-Handed XR Interfaces
Alejandro Aponte, Arthur Caetano, Yunhao Luo +1
Everyday objects, like remote controls or electric toothbrushes, are crafted with hand-accessible interfaces. Expanding on this design principle, extended reality (XR) interfaces f…
ARfy: A Pipeline for Adapting 3D Scenes to Augmented Reality
Arthur Caetano, Misha Sra
Virtual content placement in physical scenes is a crucial aspect of augmented reality (AR). This task is particularly challenging when the virtual elements must adapt to multiple t…
ARLang: An Outdoor Augmented Reality Application for Portuguese Vocabulary Learning
Arthur Caetano, Alyssa Lawson, Yimeng Liu +1
With recent computer vision techniques and user-generated content, we can augment the physical world with metadata that describes attributes, such as names, geo-locations, and visu…
Artificial Leviathan: Exploring Social Evolution of LLM Agents Through the Lens of Hobbesian Social Contract Theory
Gordon Dai, Weijia Zhang, Jinhan Li +5
The emergence of Large Language Models (LLMs) and advancements in Artificial Intelligence (AI) offer an opportunity for computational social science research at scale. Building upo…