Peer-reviewed journal papers, conference papers, book chapters, and posters.
TL;DR: Demonstrates that vergence-accommodation conflict degrades gaze-based 3D selection as targets move away from an HMD's focal region and that a diopter-aware Fitts' law model predicts this effect more accurately.
TL;DR: Models how increasing visual depth slows 3D selection and lowers throughput, extending Fitts' law with focal distance for VR and AR pointing.
TL;DR: Demonstrates that warning users before optical hand tracking fails improves VR usability and reduces frustration across two manipulation tasks.
TL;DR: Builds and evaluates EEG-based consumer-preference classifiers, with KNN reaching the strongest performance and frontal electrodes proving most informative.
TL;DR: Investigates spontaneous eye blinks as a biometric signal and uses recurrent models to identify individuals with up to 98.7% accuracy.
TL;DR: Shows that AR second screens can make AI-assisted authoring more appealing, but cross-reality transitions remain slower and more disruptive than working with a physical second display.
TL;DR: Compares gaze, hand, and voice combinations for selecting multiple XR objects, finding that DoublePinch with Gaze+Pinch offers the strongest overall performance.
TL;DR: Introduces multi-threshold dwell keyboards that let novice users reach 18.3 WPM, outperforming conventional constant-threshold gaze typing.
TL;DR: Classifies virtual task-environment factors across 277 papers to help researchers evaluate 3D selection techniques more systematically.
TL;DR: Compares EEG artefact-removal pipelines for video classification and finds that extended stationary-wavelet denoising can improve accuracy by up to 7.2%.
TL;DR: Presents MinerBot, a low-cost autonomous sensor platform that maps terrain depth in real time to support mine detection.
TL;DR: Examines how EMG artefacts affect EEG-based video-category classification and finds that contaminated signals can carry additional discriminating information.
TL;DR: Implements a low-cost, self-calibrating stereo-camera system for humanoid robotic vision, 3D positioning, and distance measurement.
TL;DR: Uses gaze behavior across manipulation subtasks to design a virtual-hand visualization method that improves accuracy in VR.
TL;DR: Reviews how computational intelligence supports denoising, feature extraction, selection, and classification throughout EEG-based BCI pipelines.
TL;DR: Shows that visual-depth variation affects gaze selection more strongly than controller selection in VR, despite similar perceived usability and workload.
TL;DR: Presents a freehand VR sketching technique for drawing up to 2.5 meters away and compares joystick, bimanual, and gaze-assisted depth control.