基于主客观数据的汽车人机交互界面表面触觉反馈方法
作者:
作者单位:

吉林大学 汽车底盘集成与仿生全国重点实验室,长春 130022

作者简介:

沈传亮,教授,博士生导师,工学博士,主要研究方向为车身智能化。E-mail: shencl@jlu.edu.cn

通讯作者:

胡宏宇,教授,博士生导师,工学博士,主要研究方向为智能驾驶与驾驶行为分析。 E-mail: huhongyu@jlu.edu.cn

中图分类号:

TP399

基金项目:

国家自然科学基金(52272417);吉林省重大科技专项(20220301009GX)


Surface Haptic Feedback Method for Automotive Human-machine Interface Based on Objective and Subjective Data
Author:
Affiliation:

National Key Laboratory of Automotive Chassis Integration and Bionics, Jilin University, Changchun 130022, China

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    摘要:

    针对汽车用户界面虚拟按钮缺乏触觉反馈或触觉反馈感受单一的问题,采集3种真实物理按钮(切换开关、自锁按钮、复位按钮)数据并提取按钮特征,基于手指按压力大小分段实现了不同的振动反馈。提出一种重现按钮顺应性的触觉渲染方法,根据用户主观感受,验证了其相比于顺应性错觉方法在顺应性、用户愉悦性等方面的提升。进行触觉反馈匹配实验,实验者根据触觉感受将3种虚拟按钮与物理按钮类型进行匹配,准确率高达94.33%,验证了提出的虚拟按钮振动触觉反馈对不同物理按钮独特感知特性恢复的有效性,用户可以在无视觉需求的情况下辨别操纵的虚拟按钮类型和状态。

    Abstract:

    In response to the problem of lack of haptic feedback or overly simplistic haptic feedback in the virtual buttons of automotive user interfaces, three types of real physical button data (toggle switch, self-locking button, reset button) were collected, and button features were extracted. Different vibration feedbacks were achieved in segments based on finger pressure. Subsequently, a haptic rendering method that reproduces button compliance was further proposed, and its improvement in compliance and user pleasure compared with compliance illusion methods was verified based on user subjective feelings. Finally, a matching experiment was conducted, and the experimenter matched three types of virtual buttons with physical button types based on haptic sensation. The overall accuracy is as high as 94.33%, proving that the vibration haptic feedback of the proposed virtual button effectively restores the unique perceptual characteristics of different physical buttons,and users distinguish the type and state of the manipulated virtual button without the need for visual attention.

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引用本文

沈传亮,岳玉冰,叶瑞章,胡宏宇,高镇海.基于主客观数据的汽车人机交互界面表面触觉反馈方法[J].同济大学学报(自然科学版),2024,52(6):856~863

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  • 收稿日期:2024-03-20
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  • 在线发布日期: 2024-06-28
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