XARP
A Human-First and AI Agent-Ready Extended Reality Toolkit
Arthur Caetano
PhD Candidate @UCSB/HAX Lab
Personal XR and AI
I build AI and XR toolkits that enable solutions personalized to users’ bodies, minds, and environments. To make highly tailored solutions scalable and reduce the marginal cost of personalization we must answer:
- How to balance scale and personalization?
- How to identify and model contextual and user factors critical for design?
- How to preserve human agency in this process?
I research these questions through ability-based and co-design methods, supported by AI agents, user models, simulations, and 3D processing.
GraspR
Model of Spatial User Preferences for Adaptive Grasp Interfaces
MixITS
Design Toolkit for Task Support in Mixed Reality
Conversational AI Probe
Agentic Design Workflows
Grasp Pressure
Visualization for Task Assistance
GraV
Kinematic Simulation for Grasp-Based UI Design
Teaching AI
Mentoring High School Students
Social Agents
Hobbes meets LLMs
Virtual Steps
VR Walking for a Lifelong-Wheelchair User
ModBand
Egocentric Multimodal Sensing
V-Buddy
Conversational Interface for Users with Hand Motor Disability
ARLang
Language Learning with Outdoor AR
XR Task Guidance
Prototypes of XR UIs for Physical Task Guidance
ARfy
Geometric Alignment of 3D Scenes to Augmented Reality