2019 IEEE World Haptics Conference (WHC) 2019
DOI: 10.1109/whc.2019.8816143
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Perceptual Space of Regular Homogeneous Haptic Textures Rendered Using Electrovibration

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Cited by 16 publications
(12 citation statements)
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References 19 publications
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“…To date, designs selected for MDS analysis generally consist of a modest repertoire of features, such as only a few force values or frequency components. For example, one study working with an electroadhesive screen generated a coarse texture set consisting of only two friction levels [18]. The authors varied the overall friction difference, as well as the line width and spacing for different tessellated patterns, and found that parameters related to intensity, such as line thickness and friction levels, dominated perception.…”
Section: Perceptual Dimensions Of Textures For Haptic Displaysmentioning
confidence: 99%
“…To date, designs selected for MDS analysis generally consist of a modest repertoire of features, such as only a few force values or frequency components. For example, one study working with an electroadhesive screen generated a coarse texture set consisting of only two friction levels [18]. The authors varied the overall friction difference, as well as the line width and spacing for different tessellated patterns, and found that parameters related to intensity, such as line thickness and friction levels, dominated perception.…”
Section: Perceptual Dimensions Of Textures For Haptic Displaysmentioning
confidence: 99%
“…Therefore, further investigation is usually conducted by analyzing additional ratings using subjective measures [39]. The most common approach is discovering semantic information related to perception by using adjectives as descriptors [40], [41]. In contrast, some studies have applied physical properties directly as descriptors to find systematic relationships between physical and perceptual properties because the responses to construct perceptual spaces are based on the apparent physical properties in tactile stimuli [36], [42].…”
Section: Discussionmentioning
confidence: 99%
“…For each adjective pair/semantic word, we applied multiple linear regression with the button coordinates recovered from the perceptual space as independent variables and the subjective score as a dependent variable. Then we projected each adjective pair/semantic word to a line in the perceptual space, which passes the origin and has a direction proportional to the standardized regression coeffcients [16,38]. Each projected line represents a perceptual axis along which the feeling represented by the adjective pair/semantic word varies.…”
Section: Discussionmentioning
confidence: 99%
“…The task was an adjective rating using seven bipolar adjectives with opposing meanings and three semantic words, as listed in Table 2. The adjectives were chosen from the literature on haptic texture perception and articles about switches and buttons [17,25,36,38]. In each trial, participants perceived the stimulus by pressing the designated button on a GUI as many times as they wanted.…”
Section: Methodsmentioning
confidence: 99%
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