How a Vertical Surface Supports Cross-Reality Transitional Interface Tasks at Different Virtuality Levels DOI
Robbe Cools, Ozan Balcı, Binh Vinh Duc Nguyen

et al.

Published: May 31, 2024

Cross-Reality Transitional Interfaces support tasks that require interactions at different levels of virtuality. However, there is little knowledge on how such capabilities can be scaled vertical and life-sized surfaces, by offering haptic feedback, transitioning the surface between physical virtual environments, moving room-scale. The aim our study to generate an empirical understanding which combinations mixed reality a user-controlled movable robotic (resulting in four virtuality levels) are better suited execute five tasks, differed terms feedback. During user (N=24), environment-physical was used most due its familiarity while environment mode experienced as more relaxing fun, convenient safer.

Language: Английский

Under Pressure: Contextualizing Workplace Stress Towards User-Centered Interventions DOI

Alain Brun,

Gale Lucas, Burçin Becerik-Gerber

et al.

Published: April 23, 2025

Language: Английский

Citations

0

Manifesting Architectural Subspaces with Two Mobile Robotic Partitions to Facilitate Spontaneous Office Meetings DOI
Ozan Balcı, Stien Poncelet, Binh Vinh Duc Nguyen

et al.

Published: April 24, 2025

Language: Английский

Citations

0

How a Vertical Surface Supports Cross-Reality Transitional Interface Tasks at Different Virtuality Levels DOI
Robbe Cools, Ozan Balcı, Binh Vinh Duc Nguyen

et al.

Published: May 31, 2024

Cross-Reality Transitional Interfaces support tasks that require interactions at different levels of virtuality. However, there is little knowledge on how such capabilities can be scaled vertical and life-sized surfaces, by offering haptic feedback, transitioning the surface between physical virtual environments, moving room-scale. The aim our study to generate an empirical understanding which combinations mixed reality a user-controlled movable robotic (resulting in four virtuality levels) are better suited execute five tasks, differed terms feedback. During user (N=24), environment-physical was used most due its familiarity while environment mode experienced as more relaxing fun, convenient safer.

Language: Английский

Citations

1