2012
DOI: 10.1007/978-3-642-31401-8_54
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Electrostatic Modulated Friction as Tactile Feedback: Intensity Perception

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Cited by 35 publications
(18 citation statements)
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“…Eleven participants (six males, average age: 23.9 years) took part in the experiment. Experimental procedures for determining subjective force magnitude scales were similar to those presented in [28,31]. In each trial, participants scanned the touch panel with the index finger and felt the resistance corresponding to the test stimulus applied to the panel electrode.…”
Section: Controlling Perceived Friction Forces By Electrovibrationmentioning
confidence: 99%
See 1 more Smart Citation
“…Eleven participants (six males, average age: 23.9 years) took part in the experiment. Experimental procedures for determining subjective force magnitude scales were similar to those presented in [28,31]. In each trial, participants scanned the touch panel with the index finger and felt the resistance corresponding to the test stimulus applied to the panel electrode.…”
Section: Controlling Perceived Friction Forces By Electrovibrationmentioning
confidence: 99%
“…In order to reduce inter-participant variability, the raw subjective ratings were normalized by dividing them by the geometric mean of the ratings in the corresponding session and then multiplying the result by the overall geometric mean of the ratings obtained in the entire experiment. Figure 4 shows normalized force ratings plotted against the voltage applied to the electrovibration display in the log-log scale, a standard way of plotting human subjective scales [28]. Each data point represents the average friction rating assigned to the voltage level by eleven participants, and the error bar represents the standard error of the mean.…”
Section: Controlling Perceived Friction Forces By Electrovibrationmentioning
confidence: 99%
“…人体触感形成的机理十分复杂 [47] ,且与个体的心理和生理等有关,评价用户在触觉再现终端上 感受到的触觉效果涉及到电子学、生理学、心理学、精神物理学等多学科的交叉问题。当前对静电 力触觉再现效果的评价主要从客观和主观两方面进行(图 32)。客观评测主要是搭建力测量平台,测 图 27 Abdulali 等研发的纹理采集装置 [42] Figure 27 Texture acquisition device developed by Abdulali et al [42] 图 28 Ilkhani 等研发的纹理采集装置 [43] Figure 28 Texture acquisition device developed by Ilkhani et al [43] 图 29 电动线性摩擦计 [44] Figure 29 Electric linear tribometer. [44] 212 212 燕学智等:多媒体 (移动) 终端静电力触觉再现 量指尖力信息,而主观评价主要是采用基于精神物理学 的科研调查问卷 [41] 、访谈、评估等方式,探究人体触觉感 受与驱动参数和力参数之间的关系 [48,49] ,运用经典的人机 交互理论和法则,采用任务绩效方式,评估融入触觉再 现 技 术 的 人 机 交 互 方 式 如 何 影 响 用 户 的 交 互 效 率 和 准 确性 [50] 。 触觉再现效果的客观评测主要揭示驱动信号参数对 手指指尖静电力的影响,包括人体手指皮肤的电特性和 触觉再现的系统模型的分析,指尖静电力的参数的测量, 建立静电力强度与激励信号幅度和频率间的映射关系。 早在 1976 年,Yamamoto 等研究表皮角质层的电模型,角 质层的电阻率与距皮肤表皮深度呈指数关系,角质层的 介电常数则与测试频率有关 [51] 。Shultz 等将手指皮肤角质 层等效成 RC 模型,推导了手指电特性参数与静电力的关 系 [52] 。2013 年,美国西北大学的 Meyer 等 器 的 分 布 和 组 成 , 仿 真 分 析 出 人 体 的 敏 感 频 率 在 250Hz 左 右 [56] 。 2001 年 , Accot 和 Zhai 采 用 Steering Law 任务设计对输入设备的形式进行了比较和评估 [57] 。2006 年,Kaczmarek 等对静电力触觉 激励信号的不同极性进行了探索性研究,主要对正、负极和两种不同占空比的正负极等 4 种极性的 驱动信号进行实验探测,采用传统精神物理学方法进行最小感知电压阈值实验评测,得出人体对负 极电压驱动更为敏感的结论 [58] 。Wijekoon 等在静电力触觉再现原理样机上初步探索了静电力触觉的 强度与驱动信号幅度和频率的关系,采用量级评估方法,建立了信号幅度和感知强度的统计关系, 当驱动信号频率为 80Hz 时可得到最大感知强度,为触摸屏的触觉接口设计提供了依据 [49] 。2010 年, Bau 等利用 Tesla Touch 系统 [13] ,完成了 3 个精神物理学实验和 1 个用户主观评价实验,以问卷的形式 图 30 力、 位移采集工具 [45] Figure 30 Force and displacement acquisition tool. [45] 图 31 焦健等研发的纹理采集装置 [46] Figure 31 Texture acquisition device developed by Jiao et al [46] 图 32 静电力触觉再现效果评价总体方案 图 33 美国西北大学测力装置 [14] Figure 33 Force measuring device of northwestern university.…”
Section: 触觉再现效果评测研究现状unclassified
“…Textures have been created (or simply evoked) typically by using vibrotactile actuators (rotary motors or linear actuators) [3], electrovibration [12], or piezoelectric actuation [13]. These techniques could all be used to indicate tangibly where the virtual control is located (i.e., the user could feel it by sliding a finger over a particular area).…”
Section: Relevant Prior Workmentioning
confidence: 99%