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Understanding the Effects of Tactile Grating Patterns on Perceived Roughness Over Ultrasonic Friction Modulation Surfaces
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 width...
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Published in: | Human factors 2023-12, Vol.65 (8), p.1718-1739 |
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description | 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 ( |
doi_str_mv | 10.1177/00187208211064025 |
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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.</description><identifier>ISSN: 0018-7208</identifier><identifier>ISSN: 1547-8181</identifier><identifier>EISSN: 1547-8181</identifier><identifier>DOI: 10.1177/00187208211064025</identifier><identifier>PMID: 35038895</identifier><language>eng</language><publisher>Los Angeles, CA: SAGE Publications</publisher><subject>Friction ; Humans ; Modulation ; Perception ; Perceptions ; Reaction Time ; Sensation ; Statistical analysis ; Surface roughness ; Touch ; Touch Perception ; Ultrasonics</subject><ispartof>Human factors, 2023-12, Vol.65 (8), p.1718-1739</ispartof><rights>2022 Human Factors and Ergonomics Society</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c320t-922bb68a4e8b89ba5991d5192181a67429aa22f527168a37bbbc4818c391e3723</cites><orcidid>0000-0001-5520-296X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925,79364</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35038895$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chu, Shaowei</creatorcontrib><creatorcontrib>Tu, Huawei</creatorcontrib><title>Understanding the Effects of Tactile Grating Patterns on Perceived Roughness Over Ultrasonic Friction Modulation Surfaces</title><title>Human factors</title><addtitle>Hum Factors</addtitle><description>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.</description><subject>Friction</subject><subject>Humans</subject><subject>Modulation</subject><subject>Perception</subject><subject>Perceptions</subject><subject>Reaction Time</subject><subject>Sensation</subject><subject>Statistical analysis</subject><subject>Surface roughness</subject><subject>Touch</subject><subject>Touch Perception</subject><subject>Ultrasonics</subject><issn>0018-7208</issn><issn>1547-8181</issn><issn>1547-8181</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp1kUFP3DAQha2qqGxpf0AvlaVeuAQ8Eye2jxUCikQFatlz5DiTJSjrUNtB4t_X6UIrFXGakd43b2b0GPsE4ghAqWMhQCsUGgFELQVWb9gKKqkKDRrestWiFwuwz97HeCeEqE1ZvWP7ZSVKrU21Yo9r31GIyfpu8Buebomf9j25FPnU8xvr0jASPw82LfK1TYmCz5rn1xQcDQ_U8R_TvLn1FCO_eqDA12MKNk5-cPwsDNkgw9-nbh7tn_bnHHrrKH5ge70dI318qgdsfXZ6c_KtuLw6vzj5elm4EkUqDGLb1tpK0q02ra2Mga4Cg_lFWyuJxlrEvkIFmSpV27ZO5v9daYBKheUBO9z53ofp10wxNdshOhpH62maY4M1gkCUtcrol__Qu2kOPl_XoBEgQdZyoWBHuTDFGKhv7sOwteGxAdEsuTQvcskzn5-c53ZL3d-J5yAycLQDot3Qv7WvO_4GbuuUpg</recordid><startdate>202312</startdate><enddate>202312</enddate><creator>Chu, Shaowei</creator><creator>Tu, Huawei</creator><general>SAGE Publications</general><general>Human Factors and Ergonomics Society</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7T2</scope><scope>7TA</scope><scope>7TB</scope><scope>7TK</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>JG9</scope><scope>JQ2</scope><scope>K9.</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-5520-296X</orcidid></search><sort><creationdate>202312</creationdate><title>Understanding the Effects of Tactile Grating Patterns on Perceived Roughness Over Ultrasonic Friction Modulation Surfaces</title><author>Chu, Shaowei ; Tu, Huawei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c320t-922bb68a4e8b89ba5991d5192181a67429aa22f527168a37bbbc4818c391e3723</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Friction</topic><topic>Humans</topic><topic>Modulation</topic><topic>Perception</topic><topic>Perceptions</topic><topic>Reaction Time</topic><topic>Sensation</topic><topic>Statistical analysis</topic><topic>Surface roughness</topic><topic>Touch</topic><topic>Touch Perception</topic><topic>Ultrasonics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chu, Shaowei</creatorcontrib><creatorcontrib>Tu, Huawei</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>MEDLINE - Academic</collection><jtitle>Human factors</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chu, Shaowei</au><au>Tu, Huawei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Understanding the Effects of Tactile Grating Patterns on Perceived Roughness Over Ultrasonic Friction Modulation Surfaces</atitle><jtitle>Human factors</jtitle><addtitle>Hum Factors</addtitle><date>2023-12</date><risdate>2023</risdate><volume>65</volume><issue>8</issue><spage>1718</spage><epage>1739</epage><pages>1718-1739</pages><issn>0018-7208</issn><issn>1547-8181</issn><eissn>1547-8181</eissn><abstract>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.</abstract><cop>Los Angeles, CA</cop><pub>SAGE Publications</pub><pmid>35038895</pmid><doi>10.1177/00187208211064025</doi><tpages>22</tpages><orcidid>https://orcid.org/0000-0001-5520-296X</orcidid></addata></record> |
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subjects | Friction Humans Modulation Perception Perceptions Reaction Time Sensation Statistical analysis Surface roughness Touch Touch Perception Ultrasonics |
title | Understanding the Effects of Tactile Grating Patterns on Perceived Roughness Over Ultrasonic Friction Modulation Surfaces |
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