HandOver: Enabling Precise Selection & Manipulation of 3D Objects with Mouse and Hand Tracking
We present HandOver, an extended reality (XR) interaction technique designed to unify the precision of traditional mouse input for object selection with the expressiveness of hand-tracking for object manipulation. With HandOver, the mouse is used to drive a depth-aware 3D cursor enabling precise and restful targeting — by hovering their hand over the mouse, the user can then seamlessly transition into direct 3D manipulation of the target object. In a formal user study, we compare HandOver against two ray-based techniques: traditional raycasting (Ray) and a hybrid method (Ray+Hand) in a 3D docking task. Results show HandOver yields lower task errors across all distances, and moreover improves interaction ergonomics as highlighted by a RULA posture analysis and self-reported measures (NASA-TLX). These findings illustrate the benefits of blending traditional precise input devices with the expressive gestural inputs afforded by hand-tracking in XR, leading to improved user comfort and task performance. This blended paradigm yields a unified workflow allowing users to leverage the best of each input modality as they interact in immersive environments.
Research Questions / Practical Problems
Question signals indexed for this paper.
- 80%
Projective Windows: Bringing Windows in Space to the Fingertip
CHI '18· Hand Gesture Recognition +1
- 80%
Designing, Engineering, and Evaluating Gesture User Interfaces
CHI '18· Hand Gesture Recognition +1
- 80%
AtaTouch: Robust Finger Pinch Detection for a VR Controller Using RF Return Loss
CHI '21· Hand Gesture Recognition +1
- 67%
<i>InfiniTouch:</i> Finger-Aware Interaction on Fully Touch Sensitive Smartphones
UIST '18· In-Vehicle Haptic, Audio & Multimodal Feedback +2
- 67%
GestureCanvas: A Programming by Demonstration System for Prototyping Compound Freehand Interaction in VR
UIST '23· Hand Gesture Recognition +2
- 60%
M3 Gesture Menu: Design and Experimental Analyses of Marking Menus for Touchscreen Mobile Interaction
CHI '18· Hand Gesture Recognition
- 60%
PinchList: Leveraging Pinch Gestures for Hierarchical List Navigation on Smartphones
CHI '19· Hand Gesture Recognition
- 60%
Palmpad: Enabling Real-Time Index-to-Palm Touch Interaction with a Single RGB Camera
CHI '25· Hand Gesture Recognition +2
- 60%
GraV: Grasp Volume Data for the Design of One-Handed XR Interfaces
DIS '24· Full-Body Interaction & Embodied Input +1
Based on Jaccard similarity of research subtopics & professions (≥60%)