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用于洞穴自动虚拟环境(CAVE)中触觉人机交互(HMI)设计的被动触觉反馈性能评估

Performance Evaluation of Passive Haptic Feedback for Tactile HMI Design in CAVEs.

作者信息

Lassagne Antoine, Kemeny Andras, Posselt Javier, Merienne Frederic

出版信息

IEEE Trans Haptics. 2018 Jan-Mar;11(1):119-127. doi: 10.1109/TOH.2017.2755653. Epub 2017 Sep 22.

DOI:10.1109/TOH.2017.2755653
PMID:28952949
Abstract

This article presents a comparison of different haptic systems, which are designed to simulate flat Human Machine Interfaces (HMIs) like touchscreens in virtual environments (VEs) such as CAVEs, and their respective performance. We compare a tangible passive transparent slate to a classic tablet and a sensory substitution system. These systems were tested during a controlled experiment. The performance and impressions from 20 subjects were collected to understand more about the modalities in the given context. The results show that the preferences of the subjects are strongly related to the use-cases and needs. In terms of performance, passive haptics proved to be significantly useful, acting as a space reference and a real-time continuous calibration system, allowing subjects to have lower execution durations and relative errors. Sensory substitution induced perception drifts during the experiment, causing significant performance disparities, demonstrating the low robustness of perception when spatial cues are insufficiently available. Our findings offer a better understanding on the nature of perception drifts and the need of strong multisensory spatial markers for such use-cases in CAVEs. The importance of a relevant haptic modality specifically designed to match a precise use-case is also emphasized.

摘要

本文介绍了不同触觉系统的比较,这些系统旨在模拟虚拟环境(如洞穴自动虚拟环境)中的平面人机界面(HMI),如触摸屏,以及它们各自的性能。我们将一个有形的被动透明石板与一个经典平板电脑和一个感官替代系统进行了比较。这些系统在一个对照实验中进行了测试。收集了20名受试者的性能和感受,以更深入地了解给定情境中的模态。结果表明,受试者的偏好与用例和需求密切相关。在性能方面,被动触觉被证明非常有用,它作为一种空间参考和实时连续校准系统,使受试者能够有更短的执行时间和更低的相对误差。感官替代在实验过程中引起了感知漂移,导致了显著的性能差异,表明当空间线索不足时,感知的稳健性较低。我们的研究结果有助于更好地理解感知漂移的本质,以及在洞穴自动虚拟环境中此类用例对强大的多感官空间标记的需求。还强调了专门设计以匹配精确用例的相关触觉模态的重要性。

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