About

At our lab, we explore how augmented and virtual reality systems can support ongoing human learning through peripheral interaction in hybrid environments spaces where physical, 2D, and 3D digital worlds blend. Grounded in human-computer interaction, our research investigates how people engage in multitasking, multimodal experiences across devices and dimensions. We design and prototype AR and VR systems that align with the way humans naturally perceive, move, and learn supporting subtle, continuous learning that happens not just at the center of attention, but at its edges. A key focus of our work is enabling users to stay aware of what AI systems are doing even when those systems take over tasks so that users are always ready to understand, interpret, and step in when needed. We believe peripheral, embodied learning is essential to building human-AI partnerships that are transparent, trustworthy, and adaptable.

Topics include:

• Peripheral Feedback for System Transparency in AR/VR Systems
• Human-in-the-Loop Learning in Hybrid Immersive Environments
• Seamless Transitions Between Physical and Virtual Realities
• Cross-Device Interaction for Continuous Learning in Hybrid Spaces
• Trust Calibration Through Peripheral Cues in VR
• Usable Security and Privacy: Secondary Interactions
• Democratising AR/VR Development
• Accessibility for AR/VR

Get in Touch

Contact us if you would like to join us or exchange ideas!