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XR/AR/VR Interaction / XR Target Selection and Interface Control

Distant target selection in traditional VR is easily disrupted by hand tremors, leading to high error rates.

lightbulbPractical problemXR Target Selection and Interface Control

Distant target selection in traditional VR is easily disrupted by hand tremors, leading to high error rates.

UIST '24TeleHand: Hand-only Teleportation for Distant Object Pointing in Virtual Reality

Similar questions

lightbulbPractical problemXR Target Selection and Interface Control

Multi-target selection in XR is inefficient and tends to increase user burden.

CHI '25PinchCatcher: Enabling Multi-selection for Gaze+Pinch

lightbulbPractical problemXR Target Selection and Interface Control

In XR applications, users struggle to freely switch and control 3D interface positions.

CHI '24UI Mobility Control in XR: Switching UI Positionings between Static, Dynamic, and Self Entities

lightbulbPractical problemXR Target Selection and Interface Control

Older adults struggle to complete target selection and object manipulation tasks efficiently and comfortably in VR.

CHI '24Toward Making Virtual Reality (VR) More Inclusive for Older Adults: Investigating Aging Effect on Target Selection and Manipulation Tasks in VR

lightbulbPractical problemXR Target Selection and Interface Control

Distant target selection in VR is often imprecise and unintuitive due to binocular disparity.

UIST '23Stereoscopic Viewing and Monoscopic Touching: Selecting Distant Objects in VR Through a Mobile Device

lightbulbPractical problemXR Target Selection and Interface Control

Users struggle to select occluded or densely arranged small 3D objects in smartphone AR.

UbiComp '23FocalPoint: Adaptive Direct Manipulation for Selecting Small 3D Virtual Objects

lightbulbPractical problemXR Target Selection and Interface Control

Users have low accuracy in gaze-based target selection in AR, often failing due to device noise or unstable gaze points.

CHI '23Predicting Gaze-based Target Selection in Augmented Reality Headsets based on Eye and Head Endpoint Distributions

Related papers

PinchCatcher: Enabling Multi-selection for Gaze+Pinch

Jinwook Kim, Sangmin Park, Qiushi Zhou

UI Mobility Control in XR: Switching UI Positionings between Static, Dynamic, and Self Entities

Siyou Pei, David Kim, Alex Olwal

Toward Making Virtual Reality (VR) More Inclusive for Older Adults: Investigating Aging Effect on Target Selection and Manipulation Tasks in VR

Zhiqing Wu, Duotun Wang, Shumeng Zhang

Stereoscopic Viewing and Monoscopic Touching: Selecting Distant Objects in VR Through a Mobile Device

Joon Hyub Lee, Taegyu Jin, Sang-Hyun Lee

FocalPoint: Adaptive Direct Manipulation for Selecting Small 3D Virtual Objects

Jiaju Ma, Jing Qian, Tongyu Zhou

Predicting Gaze-based Target Selection in Augmented Reality Headsets based on Eye and Head Endpoint Distributions

Yushi Wei, Rongkai Shi, Difeng Yu

In-Depth Mouse: Integrating Desktop Mouse into Virtual Reality

Qian Zhou, George Fitzmaurice, Fraser Anderson

Ninja Hands: Using Many Hands to Improve Target Selection in VR

Jonas Schjerlund, Kasper Hornbæk, Joanna Bergström

vMirror: Enhancing the Interaction with Occluded or Distant Objects in VR with Virtual Mirrors

Nianlong Li, Zhengquan Zhang, Can Liu

StickyPie: A Gaze-Based, Scale-Invariant Marking Menu Optimized for AR/VR

Sunggeun Ahn, Stephanie Santosa, Mark Parent

HoloBar: Rapid Command Execution for Head-Worn AR Exploiting Around the Field-of-View Interaction

Houssem Saidi, Emmanuel Dubois, Marcos Serrano

How to Evaluate Object Selection and Manipulation in VR? Guidelines from 20 Years of Studies

Joanna Bergström, Tor-Salve Dalsgaard, Jason Alexander