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Importance of Matching Physical Friction, Hardness, and Texture in Creating Realistic Haptic Virtual Surfaces

Published: 01 January 2017 Publication History

Abstract

Interacting with physical objects through a tool elicits tactile and kinesthetic sensations that comprise your haptic impression of the object. These cues, however, are largely missing from interactions with virtual objects, yielding an unrealistic user experience. This article evaluates the realism of virtual surfaces rendered using haptic models constructed from data recorded during interactions with real surfaces. The models include three components: surface friction, tapping transients, and texture vibrations. We render the virtual surfaces on a SensAble Phantom Omni haptic interface augmented with a Tactile Labs Haptuator for vibration output. We conducted a human-subject study to assess the realism of these virtual surfaces and the importance of the three model components. Following a perceptual discrepancy paradigm, subjects compared each of 15 real surfaces to a full rendering of the same surface plus versions missing each model component. The realism improvement achieved by including friction, tapping, or texture in the rendering was found to directly relate to the intensity of the surface's property in that domain (slipperiness, hardness, or roughness). A subsequent analysis of forces and vibrations measured during interactions with virtual surfaces indicated that the Omni's inherent mechanical properties corrupted the user's haptic experience, decreasing realism of the virtual surface.

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    cover image IEEE Transactions on Haptics
    IEEE Transactions on Haptics  Volume 10, Issue 1
    January 2017
    139 pages

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    IEEE Computer Society Press

    Washington, DC, United States

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    Published: 01 January 2017

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    • (2024)Does Multi-Actuator Vibrotactile Feedback Within Tangible Objects Enrich VR Manipulation?IEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.327939830:8(4767-4779)Online publication date: 1-Aug-2024
    • (2024)Robust Surface Recognition With the Maximum Mean Discrepancy: Degrading Haptic-Auditory Signals Through Bandwidth and NoiseIEEE Transactions on Haptics10.1109/TOH.2024.335660917:1(58-65)Online publication date: 1-Jan-2024
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