Haptic Identification of Stiffness and Force Magnitude

Haptic Identification of Stiffness and Force Magnitude
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刚度和力大小的触觉识别

DOI:
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发表时间:
2008
期刊:
Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems
影响因子:
--
通讯作者:
D. Ebert
D. Ebert
中科院分区:
--
文献类型:
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作者:
Steven A. Cholewiak;H. Tan;D. Ebert

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随着触觉成为科学数据可视化系统不可或缺的组成部分,人们越来越需要研究“触觉字形”(通过触觉显示信息的构建块)并量化其信息传输能力。本研究调查了通过刚度或力大小传输信息的通道容量。具体来说,我们测量了可以在绝对识别范式中可靠识别的刚度或力大小水平的数量。本研究中使用的刚度和力大小范围分别为 0.2-3.0 N/mm 和 0.1-5.0 N,是大多数虚拟现实或数据可视化应用中遇到的典型参数值。 10 个人参加了刚度识别实验,每人完成 250 次试验。随后,其中 4 名受试者和另外 6 名参与者完成了力大小识别实验中的 250 次试验。定制设计的 3 自由度力反馈设备“迷你棒”用于刺激传递。结果显示,刚度识别的平均信息传输量为 1.46 位,或者等效地,可正确识别的刚度级别为 2.8 个。力大小的平均信息传输为 1.54 位,或相当于 2.9 个可正确识别的力大小。因此,平均而言,参与者只能可靠地识别 0.2-3.0 N/mm 范围内的 2-3 个刚度级别,以及 0.1-5.0 N 范围内的 2-3 个力大小级别。个人表现从 1 到 4 个可正确识别的刚度级别和 2 到 4 个可正确识别的力大小级别不等。我们的结果与报告的触觉刺激信息传输一致。根据目前的研究,建议在数据可视化系统中将 2 个刚度或力大小级别(即高和低)与触觉字形一起使用,并为更有经验的用户提供额外的第三个级别(中)。
As haptics becomes an integral component of scientific data visualization systems, there is a growing need to study "haptic glyphs" (building blocks for displaying information through the sense of touch) and quantify their information transmission capability. The present study investigated the channel capacity for transmitting information through stiffness or force magnitude. Specifically, we measured the number of stiffness or force- magnitude levels that can be reliably identified in an absolute identification paradigm. The range of stiffness and force magnitude used in the present study, 0.2-3.0 N/mm and 0.1-5.0 N, respectively, was typical of the parameter values encountered in most virtual reality or data visualization applications. Ten individuals participated in a stiffness identification experiment, each completing 250 trials. Subsequently, four of these individuals and six additional participants completed 250 trials in a force-magnitude identification experiment. A custom-designed 3 degrees-of-freedom force-feedback device, the ministick, was used for stimulus delivery. The results showed an average information transfer of 1.46 bits for stiffness identification, or equivalently, 2.8 correctly-identifiable stiffness levels. The average information transfer for force magnitude was 1.54 bits, or equivalently, 2.9 correctly-identifiable force magnitudes. Therefore, on average, the participants could only reliably identify 2-3 stiffness levels in the range of 0.2-3.0 N/mm, and 2-3 force- magnitude levels in the range of 0.1-5.0 N. Individual performance varied from 1 to 4 correctly-identifiable stiffness levels and 2 to 4 correctly-identifiable force-magnitude levels. Our results are consistent with reported information transfers for haptic stimuli. Based on the present study, it is recommended that 2 stiffness or force-magnitude levels (i.e., high and low) be used with haptic glyphs in a data visualization system, with an additional third level (medium) for more experienced users.
DOI: 10.1152/jn.1995.73.1.88
发表时间: 1995-01-01
影响因子: 2.5
作者:
SRINIVASAN, MA;LAMOTTE, RH
通讯作者: LAMOTTE, RH
DOI: 10.1152/jn.2000.83.4.1777
发表时间: 2000-04-01
影响因子: 2.5
作者:
LaMotte, RH
通讯作者: LaMotte, RH