TL;DR
This study investigates bi-manual teleportation techniques in VR, demonstrating improved speed and accuracy over uni-manual methods, and introduces a new Fitts' Law model to better predict user performance.
Contribution
The paper introduces a novel bi-manual teleportation method, evaluates its performance with a user study, and proposes an improved Fitts' Law model for VR interactions.
Findings
Bi-manual techniques enable faster teleportation with dominant hand pointing.
Bi-manual and dwell methods are more accurate than uni-manual approaches.
A new Fitts' Law variation better predicts VR teleportation performance.
Abstract
Teleportation, a widely-used locomotion technique in Virtual Reality (VR), allows instantaneous movement within VR environments. Enhanced hand tracking in modern VR headsets has popularized hands-only teleportation methods, which eliminate the need for physical controllers. However, these techniques have not fully explored the potential of bi-manual input, where each hand plays a distinct role in teleportation: one controls the teleportation point and the other confirms selections. Additionally, the influence of users' posture, whether sitting or standing, on these techniques remains unexplored. Furthermore, previous teleportation evaluations lacked assessments based on established human motor models such as Fitts' Law. To address these gaps, we conducted a user study (N=20) to evaluate bi-manual pointing performance in VR teleportation tasks, considering both sitting and standing…
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