16 citations · 32 across the 6 of their papers we have counts for
6 papers
ProMemAssist: Exploring Timely Proactive Assistance Through Working Memory Modeling in Multi-Modal Wearable Devices
Kevin Pu, Ting Zhang, Naveen Sendhilnathan +3
Wearable AI systems aim to provide timely assistance in daily life, but existing approaches often rely on user initiation or predefined task knowledge, neglecting users' current me…
Less or More: Towards Glanceable Explanations for LLM Recommendations Using Ultra-Small Devices
Xinru Wang, Mengjie Yu, Hannah Nguyen +10
Large Language Models (LLMs) have shown remarkable potential in recommending everyday actions as personal AI assistants, while Explainable AI (XAI) techniques are being increasingl…
Eye Gaze as a Signal for Conveying User Attention in Contextual AI Systems
Ethan Wilson, Naveen Sendhilnathan, Charlie S. Burlingham +5
Advanced multimodal AI agents can now collaborate with users to solve challenges in the world. Yet, these emerging contextual AI systems rely on explicit communication channels bet…
SonoHaptics: An Audio-Haptic Cursor for Gaze-Based Object Selection in XR
Hyunsung Cho, Naveen Sendhilnathan, Michael Nebeling +6
We introduce SonoHaptics, an audio-haptic cursor for gaze-based 3D object selection. SonoHaptics addresses challenges around providing accurate visual feedback during gaze-based se…
Implicit gaze research for XR systems
Naveen Sendhilnathan, Ajoy S. Fernandes, Michael J. Proulx +1
Although eye-tracking technology is being integrated into more VR and MR headsets, the true potential of eye tracking in enhancing user interactions within XR settings remains rela…
Explainable Interfaces for Rapid Gaze-Based Interactions in Mixed Reality
Mengjie Yu, Dustin Harris, Ian Jones +12
Gaze-based interactions offer a potential way for users to naturally engage with mixed reality (XR) interfaces. Black-box machine learning models enabled higher accuracy for gaze-b…