Haptic discrimination of different types of soft materials

buir.contributor.authorDoerschner, Katja
buir.contributor.orcidDoerschner, Katja|0000-0002-8364-800X
dc.citation.epage11en_US
dc.citation.spage3en_US
dc.citation.volumeNumber13235en_US
dc.contributor.authorCavdan, Müge
dc.contributor.authorDoerschner, Katja
dc.contributor.authorDrewing, Knut
dc.coverage.spatialHamburg, Germanyen_US
dc.date.accessioned2023-03-02T14:02:41Z
dc.date.available2023-03-02T14:02:41Z
dc.date.issued2022-05-20
dc.departmentNational Magnetic Resonance Research Center (UMRAM)en_US
dc.descriptionConference Name: 13th International Conference on Human Haptic Sensing and Touch Enabled Computer Applications, EuroHaptics 2022en_US
dc.descriptionDate of Conference: 22 May 2022 - 25 May 2022en_US
dc.description.abstractWe interact with different types of soft materials on a daily basis such as salt, hand cream, etc. Recently we have shown that soft materials can be described using four perceptual dimensions which are deformability, granularity, viscosity, and surface softness [1]. Here, we investigated whether humans can actually perceive systematic differences in materials that selectively vary along one of these four dimensions as well as how judgments on the different dimensions are correlated to softness judgments. We selected at least two material classes per dimension (e.g., hair gel and hand cream for viscosity) and varied the corresponding feature (e.g., the viscosity of hair gel). Participants ordered four to ten materials from each material class according to their corresponding main feature, and in addition, according to their softness. Rank orders of materials according to the main feature were consistent across participants and repetitions. Rank orders according to softness were correlated either positively or negatively with the judgments along the associated four perceptual dimensions. These findings support our notion of multiple softness dimensions and demonstrate that people can reliably discriminate materials which are artificially varied along each of these softness dimensions. © 2022, The Author(s).en_US
dc.identifier.urihttp://hdl.handle.net/11693/112032
dc.language.isoEnglishen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.source.titleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_US
dc.subjectGranularityen_US
dc.subjectHapticsen_US
dc.subjectMaterial perceptionen_US
dc.subjectSoftness perceptionen_US
dc.titleHaptic discrimination of different types of soft materialsen_US
dc.typeConference Paperen_US

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