探索指尖气动触觉前馈线索在 VR 中引导无眼目标获取的效果

Q1 Computer Science
Xiaofei Ren , Jian He , Teng Han , Songxian Liu , Mengfei Lv , Rui Zhou
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引用次数: 0

摘要

背景触觉在虚拟空间的交互行为中发挥着至关重要的作用,尤其是在视觉注意力缺失的情况下。尽管触觉反馈已被广泛用于弥补视觉线索的不足,但将触觉信息作为引导手部动作的预测性前馈线索仍有待探索,也缺乏理论上的理解。方法本研究引入了一种指尖气动触觉渲染方法,以研究其在无视觉空间交互过程中引导手部动作的有效性。结果第一项研究验证了触觉方向前馈提示可显著提高用户在无眼目标获取中的能力,而且用户在很大程度上依赖触觉指示而非空间记忆来控制双手。随后的一项研究考察了丰富的触觉前馈提示对协助用户在无眼交互过程中确定精确目标位置的影响,并评估了所需的学习努力。 结论触觉前馈效应在虚拟现实的无眼设计中具有巨大的实用前景。我们的目标是在未来整合认知模型和触觉前馈线索,并应用更丰富的触觉前馈信息来缓解用户的感知缺陷。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the effect of fingertip aero-haptic feedforward cues in directing eyes-free target acquisition in VR

Background

The sense of touch plays a crucial role in interactive behavior within virtual spaces, particularly when visual attention is absent. Although haptic feedback has been widely used to compensate for the lack of visual cues, the use of tactile information as a predictive feedforward cue to guide hand movements remains unexplored and lacks theoretical understanding.

Methods

This study introduces a fingertip aero-haptic rendering method to investigate its effectiveness in directing hand movements during eyes-free spatial interactions. The wearable device incorporates a multichannel micro-airflow chamber to deliver adjustable tactile effects on the fingertips.

Results

The first study verified that tactile directional feedforward cues significantly improve user capabilities in eyes-free target acquisition and that users rely heavily on haptic indications rather than spatial memory to control their hands. A subsequent study examined the impact of enriched tactile feedforward cues on assisting users in determining precise target positions during eyes-free interactions, and assessed the required learning efforts.

Conclusions

The haptic feedforward effect holds great practical promise in eyeless design for virtual reality. We aim to integrate cognitive models and tactile feedforward cues in the future, and apply richer tactile feedforward information to alleviate users' perceptual deficiencies.

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来源期刊
Virtual Reality  Intelligent Hardware
Virtual Reality Intelligent Hardware Computer Science-Computer Graphics and Computer-Aided Design
CiteScore
6.40
自引率
0.00%
发文量
35
审稿时长
12 weeks
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