Detection and Identification of Pattern Information on an Electrostatic Friction Display

Klatzky, Roberta L.; Nayak, Amukta; Stephen, Isobel; Dijour, Dean; Tan, Hong Z.

doi:10.1109/toh.2019.2940215

Cited by 10 publications

(11 citation statements)

References 30 publications

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“…Our method can replace or complement other pattern selection methods such as the one using density (Klatzky et al, 2019). 3) Designers should suggest multiple perceptual strategies, such as perceived roughness, real object mapping and emotions, when an application requires users to identify a group of more than 4 patterns.…”

Section: Design Implicationsmentioning

confidence: 99%

“…Previous studies have explored the perceptual mechanism of how people perceive the roughness of generated surface textures. As for perceived roughness over real textures, Katz (Katz, 1989) proposed the duplex theory of tactile texture perception to explain the perceptual mechanism of finely and coarsely textured surfaces. For fine textures with a spatial period of less than 0.2 mm, texture discrimination only takes place in the movement condition, and Pacinian corpuscle afferents mediate the perception.…”

Section: Introductionmentioning

confidence: 99%

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Understanding the Effects of Tactile Grating Patterns on Perceived Roughness Over Ultrasonic Friction Modulation Surfaces

Chu

2022

Hum Factors

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Objective Our study aims to investigate the effects of grating patterns of perceived roughness on surfaces with ultrasonic friction modulation, and also to examine user performance of identifying different numbers of grating patterns. Background In designing grating-based tactile textures, the widths of low- and high-friction zones are a crucial factor for generating grating patterns that convey roughness sensation. However, few studies have explored the design space of efficient grating patterns that users can easily distinguish and identify via roughness perception. Method Two experiments were carried out. In the first experiment, we conducted a magnitude estimation of perceived roughness for both low- and high-friction zones, each with widths of 0.13, 0.25, 0.38, 0.5, 1.0, 1.5, 2.0, 3.5, and 5.5 mm. In the second experiment, we required participants to identify 5 pattern groups with 2–6 patterns respectively. Results Perceived roughness fitted a linear trend for low- or high-friction zones with widths of 0.38 mm or lower. Perceived roughness followed an inverted U-shaped curve for low- or high-friction zones with widths greater than 0.5 mm but less than 2.0 mm. The peak points occurred at the widths of 0.38 mm for both low- and high-friction zones. The statistical analysis indicates that both low- and high-friction zones had similar effects on human perception of surface roughness. In addition, participants could memorize and identify up to four tactile patterns with identification accuracy rates higher than 90% and average reaction time less than 2.2 s. Conclusions The relation between perceived roughness and varying widths of grating patterns follows linear or inverted U-shape trends. Participants could efficiently identify 4 or fewer patterns with high accuracy (>90%) and short reaction time (<2.2 s). Application Our findings can contribute to tactile interface design such as tactile alphabets and target-approaching indicators.

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Section: Design Implicationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Understanding the Effects of Tactile Grating Patterns on Perceived Roughness Over Ultrasonic Friction Modulation Surfaces

Chu

2022

Hum Factors

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“…An alternative approach used by the researchers to render tactile graphics on a touch surface is electrovibration (Bau et al, 2010). Researchers have utilized electrovibration displays to render 2D tactile graphics and 3D geometrical shapes in the form of height maps (Israr et al, 2012;Kim et al, 2013;Mullenbach et al, 2014;Osgouei et al, 2016Osgouei et al, , 2017Tomita et al, 2019;Klatzky et al, 2019). For example, Lim et al (2019a) prototyped a mobile application called TouchPhoto using electrovibration technology, that helps visually impaired users to not only take photographs, but also perceive the main landmarks of the person's face by touch.…”

Section: Tactile Graphicsmentioning

confidence: 99%

“…Researchers have already utilized surface haptics technologies to render tactile graphics on touch surfaces (Israr et al, 2012;Kim et al, 2013;Gorlewicz et al, 2014;Mullenbach et al, 2014;Osgouei et al, 2016Osgouei et al, , 2017Klatzky et al, 2019). However, only a few studies investigated the relation between the complexity of tactile data displayed through a touch surface and haptic perception of the users (Gorlewicz et al, 2020;Costes et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Exploration Strategies for Tactile Graphics Displayed by Electrovibration on a Touchscreen

Sadia,

Sadic,

Ayyildiz

et al. 2021

Preprint

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Advancements in surface haptics technology have given rise to the development of interactive applications displaying tactile content on touch surfaces such as images, signs, diagrams, plots, charts, graphs, maps, networks, and tables. In those applications, users manually explore the touch surface to interact with the tactile data using some intuitive strategies. The user's exploration strategy, tactile data's complexity, and tactile rendering method all affect the user's haptic perception, which plays a critical role in design and prototyping of those applications. In this study, we conducted experiments with human participants to investigate the recognition rate and time of five tactile shapes (i.e., triangle, square, pentagon, hexagon, and octagon) rendered by electrovibration on a touchscreen using three different methods and displayed in prototypical orientation and non-prototypical orientations (i.e., 15 degrees CW and CCW to the prototypical orientation). The results showed that the correct recognition rate of the shapes was higher when the haptically active area (area where electrovibration was on) was larger. However, as the number of edges was increased, the recognition time increased and the recognition rate dropped significantly, arriving to a value slightly higher than the chance rate of 20% for non-prototypical octagon. Moreover, the recognition time for inside rendering condition was significantly shorter in comparison with edge and outside rendering conditions and edge rendering condition led to the longest recognition time. We also recorded the participants' finger movements on the touchscreen to examine their haptic exploration strategies. Based on our temporal analysis, we classified six exploration strategies adopted by participants to identify the shapes, which were different for the prototypical and non-prototypical shapes. Moreover, our spatial analysis revealed that the participants first used

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“…The first is the vibrotactile method that delivers direct vibration below 500 Hz between the finger and the touch screen [4]. The second is the method to provide tactile feedback through a friction modulation between them [5,6]. The research results of surface haptics over the last 10 years indicate that more active research is being conducted on friction modulation compared to that on vibrotactile.…”

Section: Introductionmentioning

confidence: 99%

Development of a Human-Display Interface with Vibrotactile Feedback for Real-World Assistive Applications

Kim

Jeong

Cho

et al. 2021

Sensors

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It is important to operate devices with control panels and touch screens assisted by haptic feedback in mobile environments such as driving automobiles and electric power wheelchairs. A lot of consideration is needed to give accurate haptic feedback, especially, presenting clear touch feedback to the elderly and people with reduced sensation is a very critical issue from healthcare and safety perspectives. In this study, we aimed to identify the perceptual characteristics for the frequency and direction of haptic vibration on the touch screen with vehicle-driving vibration and to propose an efficient haptic system based on these characteristics. As a result, we demonstrated that the detection threshold shift decreased at frequencies above 210 Hz due to the contact pressure during active touch, but the detection threshold shift increased at below 210 Hz. We found that the detection thresholds were 0.30–0.45 gpeak with similar sensitivity in the 80–270 Hz range. The haptic system implemented by reflecting the experimental results achieved characteristics suitable for use scenarios in automobiles. Ultimately, it could provide practical guidelines for the development of touch screens to give accurate touch feedback in the real-world environment.

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Detection and Identification of Pattern Information on an Electrostatic Friction Display

Cited by 10 publications

References 30 publications

Understanding the Effects of Tactile Grating Patterns on Perceived Roughness Over Ultrasonic Friction Modulation Surfaces

Understanding the Effects of Tactile Grating Patterns on Perceived Roughness Over Ultrasonic Friction Modulation Surfaces

Exploration Strategies for Tactile Graphics Displayed by Electrovibration on a Touchscreen

Development of a Human-Display Interface with Vibrotactile Feedback for Real-World Assistive Applications

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