{"title":"Enhanced Roughness-Matching Precision for Random Grating Textures at a 1.0-mm Mean Wavelength.","authors":"Ai Kurita, Shogo Okamoto","doi":"10.1109/TOH.2026.3745360","DOIUrl":null,"url":null,"abstract":"<p><p>Natural surfaces contain local spatial irregularities, yet tactile texture perception has often been characterized in terms of mean geometric properties. It remains unclear whether information associated with such irregularities improves roughness-matching precision when the mean spatial scale of a texture is varied. We compared roughness-matching precision between physically fabricated periodic and random gratings with nominal mean wavelengths of 1.0 and 2.0 mm. Participants selected, from a set of test gratings, the stimulus whose roughness they perceived as closest to that of a reference. Matching precision was quantified for each participant and condition using the standard deviation of the nominal wavelengths selected across repeated trials, with a smaller standard deviation indicating more precise roughness matching. At the nominal mean wavelength of 1.0 mm, the standard deviation was significantly smaller for the random gratings than for the periodic gratings. No significant difference was observed at 2.0 mm. These findings suggest that information contained in the 1.0-mm random gratings beyond their mean wavelength may have contributed to roughness matching precision.</p>","PeriodicalId":13215,"journal":{"name":"IEEE Transactions on Haptics","volume":"PP ","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2026-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Haptics","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1109/TOH.2026.3745360","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, CYBERNETICS","Score":null,"Total":0}
引用次数: 0
Abstract
Natural surfaces contain local spatial irregularities, yet tactile texture perception has often been characterized in terms of mean geometric properties. It remains unclear whether information associated with such irregularities improves roughness-matching precision when the mean spatial scale of a texture is varied. We compared roughness-matching precision between physically fabricated periodic and random gratings with nominal mean wavelengths of 1.0 and 2.0 mm. Participants selected, from a set of test gratings, the stimulus whose roughness they perceived as closest to that of a reference. Matching precision was quantified for each participant and condition using the standard deviation of the nominal wavelengths selected across repeated trials, with a smaller standard deviation indicating more precise roughness matching. At the nominal mean wavelength of 1.0 mm, the standard deviation was significantly smaller for the random gratings than for the periodic gratings. No significant difference was observed at 2.0 mm. These findings suggest that information contained in the 1.0-mm random gratings beyond their mean wavelength may have contributed to roughness matching precision.
期刊介绍:
IEEE Transactions on Haptics (ToH) is a scholarly archival journal that addresses the science, technology, and applications associated with information acquisition and object manipulation through touch. Haptic interactions relevant to this journal include all aspects of manual exploration and manipulation of objects by humans, machines and interactions between the two, performed in real, virtual, teleoperated or networked environments. Research areas of relevance to this publication include, but are not limited to, the following topics: Human haptic and multi-sensory perception and action, Aspects of motor control that explicitly pertain to human haptics, Haptic interactions via passive or active tools and machines, Devices that sense, enable, or create haptic interactions locally or at a distance, Haptic rendering and its association with graphic and auditory rendering in virtual reality, Algorithms, controls, and dynamics of haptic devices, users, and interactions between the two, Human-machine performance and safety with haptic feedback, Haptics in the context of human-computer interactions, Systems and networks using haptic devices and interactions, including multi-modal feedback, Application of the above, for example in areas such as education, rehabilitation, medicine, computer-aided design, skills training, computer games, driver controls, simulation, and visualization.