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MobiTangibles: Enabling Physical Manipulation Experiences of Virtual Precision Hand-Held Tools' Miniature Control in VR | IEEE Journals & Magazine | IEEE Xplore

MobiTangibles: Enabling Physical Manipulation Experiences of Virtual Precision Hand-Held Tools' Miniature Control in VR


Abstract:

Realistic simulation for miniature control interactions, typically identified by precise and confined motions, commonly found in precision hand-held tools, like calipers,...Show More

Abstract:

Realistic simulation for miniature control interactions, typically identified by precise and confined motions, commonly found in precision hand-held tools, like calipers, powered engravers, retractable knives, etc., are beneficial for skill training associated with these kinds of tools in virtual reality (VR) environments. However, existing approaches aiming to simulate hand-held tools' miniature control manipulation experiences in VR entail prototyping complexity and require expertise, posing challenges for novice users and individuals with limited resources. Addressing this challenge, we introduce MobiTangibles—proxies for precision hand-held tools' miniature control interactions utilizing smartphone-based magnetic field sensing. MobiTangibles passively replicate fundamental miniature control experiences associated with hand-held tools, such as single-axis translation and rotation, enabling quick and easy use for diverse VR scenarios without requiring extensive technical knowledge. We conducted a comprehensive technical evaluation to validate the functionality of MobiTangibles across diverse settings, including evaluations for electromagnetic interference within indoor environments. In a user-centric evaluation involving 15 participants across bare hands, VR controllers, and MobiTangibles conditions, we further assessed the quality of miniaturized manipulation experiences in VR. Our findings indicate that MobiTangibles outperformed conventional methods in realism and fatigue, receiving positive feedback.
Published in: IEEE Transactions on Visualization and Computer Graphics ( Volume: 30, Issue: 11, November 2024)
Page(s): 7321 - 7331
Date of Publication: 13 September 2024

ISSN Information:

PubMed ID: 39269808

Funding Agency:


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