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Global surface features contribute to human haptic roughness estimations

Previous studies have paid special attention to the relationship between local features (e.g., raised dots) and human roughness perception. However, the relationship between global features (e.g., curved surface) and haptic roughness perception is still unclear. In the present study, a series of rou...

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Autores principales: Li, Huazhi, Yang, Jiajia, Yu, Yinghua, Wang, Wu, Liu, Yulong, Zhou, Mengni, Li, Qingqing, Yang, Jingjing, Shao, Shiping, Takahashi, Satoshi, Ejima, Yoshimichi, Wu, Jinglong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8918205/
https://www.ncbi.nlm.nih.gov/pubmed/35034179
http://dx.doi.org/10.1007/s00221-021-06289-0
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author Li, Huazhi
Yang, Jiajia
Yu, Yinghua
Wang, Wu
Liu, Yulong
Zhou, Mengni
Li, Qingqing
Yang, Jingjing
Shao, Shiping
Takahashi, Satoshi
Ejima, Yoshimichi
Wu, Jinglong
author_facet Li, Huazhi
Yang, Jiajia
Yu, Yinghua
Wang, Wu
Liu, Yulong
Zhou, Mengni
Li, Qingqing
Yang, Jingjing
Shao, Shiping
Takahashi, Satoshi
Ejima, Yoshimichi
Wu, Jinglong
author_sort Li, Huazhi
collection PubMed
description Previous studies have paid special attention to the relationship between local features (e.g., raised dots) and human roughness perception. However, the relationship between global features (e.g., curved surface) and haptic roughness perception is still unclear. In the present study, a series of roughness estimation experiments was performed to investigate how global features affect human roughness perception. In each experiment, participants were asked to estimate the roughness of a series of haptic stimuli that combined local features (raised dots) and global features (sinusoidal-like curves). Experiments were designed to reveal whether global features changed their haptic roughness estimation. Furthermore, the present study tested whether the exploration method (direct, indirect, and static) changed haptic roughness estimations and examined the contribution of global features to roughness estimations. The results showed that sinusoidal-like curved surfaces with small periods were perceived to be rougher than those with large periods, while the direction of finger movement and indirect exploration did not change this phenomenon. Furthermore, the influence of global features on roughness was modulated by local features, regardless of whether raised-dot surfaces or smooth surfaces were used. Taken together, these findings suggested that an object’s global features contribute to haptic roughness perceptions, while local features change the weight of the contribution that global features make to haptic roughness perceptions.
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spelling pubmed-89182052022-03-17 Global surface features contribute to human haptic roughness estimations Li, Huazhi Yang, Jiajia Yu, Yinghua Wang, Wu Liu, Yulong Zhou, Mengni Li, Qingqing Yang, Jingjing Shao, Shiping Takahashi, Satoshi Ejima, Yoshimichi Wu, Jinglong Exp Brain Res Research Article Previous studies have paid special attention to the relationship between local features (e.g., raised dots) and human roughness perception. However, the relationship between global features (e.g., curved surface) and haptic roughness perception is still unclear. In the present study, a series of roughness estimation experiments was performed to investigate how global features affect human roughness perception. In each experiment, participants were asked to estimate the roughness of a series of haptic stimuli that combined local features (raised dots) and global features (sinusoidal-like curves). Experiments were designed to reveal whether global features changed their haptic roughness estimation. Furthermore, the present study tested whether the exploration method (direct, indirect, and static) changed haptic roughness estimations and examined the contribution of global features to roughness estimations. The results showed that sinusoidal-like curved surfaces with small periods were perceived to be rougher than those with large periods, while the direction of finger movement and indirect exploration did not change this phenomenon. Furthermore, the influence of global features on roughness was modulated by local features, regardless of whether raised-dot surfaces or smooth surfaces were used. Taken together, these findings suggested that an object’s global features contribute to haptic roughness perceptions, while local features change the weight of the contribution that global features make to haptic roughness perceptions. Springer Berlin Heidelberg 2022-01-16 2022 /pmc/articles/PMC8918205/ /pubmed/35034179 http://dx.doi.org/10.1007/s00221-021-06289-0 Text en © The Author(s) 2022, corrected publication 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Li, Huazhi
Yang, Jiajia
Yu, Yinghua
Wang, Wu
Liu, Yulong
Zhou, Mengni
Li, Qingqing
Yang, Jingjing
Shao, Shiping
Takahashi, Satoshi
Ejima, Yoshimichi
Wu, Jinglong
Global surface features contribute to human haptic roughness estimations
title Global surface features contribute to human haptic roughness estimations
title_full Global surface features contribute to human haptic roughness estimations
title_fullStr Global surface features contribute to human haptic roughness estimations
title_full_unstemmed Global surface features contribute to human haptic roughness estimations
title_short Global surface features contribute to human haptic roughness estimations
title_sort global surface features contribute to human haptic roughness estimations
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8918205/
https://www.ncbi.nlm.nih.gov/pubmed/35034179
http://dx.doi.org/10.1007/s00221-021-06289-0
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