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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.
  • Li H; Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, 3-1-1 Tsushima-Naka, Kita-ku, Okayama, 700-8530, Japan.
  • Yang J; Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, 3-1-1 Tsushima-Naka, Kita-ku, Okayama, 700-8530, Japan. yang@okayama-u.ac.jp.
  • Yu Y; Section On Functional Imaging Methods, National Institute of Mental Health, Bethesda, MD, USA. yang@okayama-u.ac.jp.
  • Wang W; Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, 3-1-1 Tsushima-Naka, Kita-ku, Okayama, 700-8530, Japan.
  • Liu Y; Section On Functional Imaging Methods, National Institute of Mental Health, Bethesda, MD, USA.
  • Zhou M; School of Psychological and Cognitive Sciences, Peking University, Beijing, China.
  • Li Q; Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, 3-1-1 Tsushima-Naka, Kita-ku, Okayama, 700-8530, Japan.
  • Yang J; Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, 3-1-1 Tsushima-Naka, Kita-ku, Okayama, 700-8530, Japan.
  • Shao S; Department of Teacher Education, Wenzhou University, Wenzhou, China.
  • Takahashi S; School of Computer Science and Technology, Changchun University of Science and Technology, Changchun, China.
  • Ejima Y; School of Social Welfare, Yonsei University, Seoul, Korea.
  • Wu J; Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, 3-1-1 Tsushima-Naka, Kita-ku, Okayama, 700-8530, Japan.
Exp Brain Res ; 240(3): 773-789, 2022 Mar.
Article en En | MEDLINE | ID: mdl-35034179
ABSTRACT
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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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Percepción del Tacto / Tecnología Háptica Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Percepción del Tacto / Tecnología Háptica Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article