{"id":"https://openalex.org/W4285209144","doi":"https://doi.org/10.1007/978-3-031-06249-0_1","title":"Haptic Discrimination of Different Types of Soft Materials","display_name":"Haptic Discrimination of Different Types of Soft Materials","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285209144","doi":"https://doi.org/10.1007/978-3-031-06249-0_1"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-06249-0_1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-06249-0_1","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-06249-0_1.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-06249-0_1.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002823322","display_name":"M\u00fcge Cavdan","orcid":"https://orcid.org/0000-0003-3575-3849"},"institutions":[{"id":"https://openalex.org/I4210148049","display_name":"Giessen School of Theology","ror":"https://ror.org/03kzgcv48","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210148049"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"M\u00fcge Cavdan","raw_affiliation_strings":["Giessen University, 35390, Giessen, Germany"],"affiliations":[{"raw_affiliation_string":"Giessen University, 35390, Giessen, Germany","institution_ids":["https://openalex.org/I4210148049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089678857","display_name":"Katja Doerschner","orcid":"https://orcid.org/0000-0002-8364-800X"},"institutions":[{"id":"https://openalex.org/I4210148049","display_name":"Giessen School of Theology","ror":"https://ror.org/03kzgcv48","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210148049"]},{"id":"https://openalex.org/I4210158702","display_name":"Resonance Research (United States)","ror":"https://ror.org/05t871q54","country_code":"US","type":"company","lineage":["https://openalex.org/I4210158702"]},{"id":"https://openalex.org/I168864056","display_name":"Bilkent University","ror":"https://ror.org/02vh8a032","country_code":"TR","type":"education","lineage":["https://openalex.org/I168864056"]}],"countries":["DE","TR","US"],"is_corresponding":false,"raw_author_name":"Katja Doerschner","raw_affiliation_strings":["Giessen University, 35390, Giessen, Germany","National Magnetic Resonance Research Center, Bilkent University, 06800, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Giessen University, 35390, Giessen, Germany","institution_ids":["https://openalex.org/I4210148049"]},{"raw_affiliation_string":"National Magnetic Resonance Research Center, Bilkent University, 06800, Ankara, Turkey","institution_ids":["https://openalex.org/I168864056","https://openalex.org/I4210158702"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062527971","display_name":"Knut Drewing","orcid":"https://orcid.org/0000-0001-6161-5912"},"institutions":[{"id":"https://openalex.org/I4210148049","display_name":"Giessen School of Theology","ror":"https://ror.org/03kzgcv48","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210148049"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Knut Drewing","raw_affiliation_strings":["Giessen University, 35390, Giessen, Germany"],"affiliations":[{"raw_affiliation_string":"Giessen University, 35390, Giessen, Germany","institution_ids":["https://openalex.org/I4210148049"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002823322"],"corresponding_institution_ids":["https://openalex.org/I4210148049"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":2.0644,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.8678124,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12032","display_name":"Multisensory perception and integration","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10427","display_name":"Visual perception and processing mechanisms","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.7737901210784912},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.653877317905426},{"id":"https://openalex.org/keywords/viscosity","display_name":"Viscosity","score":0.6318614482879639},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5687751173973083},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5533836483955383},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.552861750125885},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5370155572891235},{"id":"https://openalex.org/keywords/haptic-technology","display_name":"Haptic technology","score":0.47025051712989807},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4201093018054962},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4046747088432312},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33177486062049866},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.31570857763290405},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.195194810628891},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.1184159517288208},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.05325347185134888}],"concepts":[{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.7737901210784912},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.653877317905426},{"id":"https://openalex.org/C127172972","wikidata":"https://www.wikidata.org/wiki/Q128709","display_name":"Viscosity","level":2,"score":0.6318614482879639},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5687751173973083},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5533836483955383},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.552861750125885},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5370155572891235},{"id":"https://openalex.org/C152086174","wikidata":"https://www.wikidata.org/wiki/Q3030571","display_name":"Haptic technology","level":2,"score":0.47025051712989807},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4201093018054962},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4046747088432312},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33177486062049866},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.31570857763290405},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.195194810628891},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.1184159517288208},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.05325347185134888},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-031-06249-0_1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-06249-0_1","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-06249-0_1.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:repository.bilkent.edu.tr:11693/112032","is_oa":false,"landing_page_url":"http://hdl.handle.net/11693/112032","pdf_url":null,"source":{"id":"https://openalex.org/S4306400079","display_name":"Bilkent University Institutional Repository (Bilkent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I168864056","host_organization_name":"Bilkent University","host_organization_lineage":["https://openalex.org/I168864056"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)","raw_type":"Conference Paper"}],"best_oa_location":{"id":"doi:10.1007/978-3-031-06249-0_1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-06249-0_1","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-06249-0_1.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G3024475973","display_name":null,"funder_award_id":"project number 222641018","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G4064624828","display_name":null,"funder_award_id":"SFB/TR","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G5106512922","display_name":null,"funder_award_id":"Deutsche Forschungsgemeinschaft (DFG","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G522962523","display_name":null,"funder_award_id":"SFB/TRR 135","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G6421489744","display_name":null,"funder_award_id":"TRR 135","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G8240828210","display_name":null,"funder_award_id":"222641018","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G8251287213","display_name":null,"funder_award_id":"765121","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285209144.pdf","grobid_xml":"https://content.openalex.org/works/W4285209144.grobid-xml"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W1887186376","https://openalex.org/W2021096446","https://openalex.org/W2111243261","https://openalex.org/W2954493964","https://openalex.org/W3136301155","https://openalex.org/W3145069138","https://openalex.org/W4247083887"],"related_works":["https://openalex.org/W2931688134","https://openalex.org/W2377919138","https://openalex.org/W156716224","https://openalex.org/W2378857091","https://openalex.org/W4297787022","https://openalex.org/W2015540166","https://openalex.org/W1666143004","https://openalex.org/W78494858","https://openalex.org/W2949126640","https://openalex.org/W2071370397"],"abstract_inverted_index":{"Abstract":[0],"We":[1,77],"interact":[2],"with":[3,154],"different":[4,70],"types":[5],"of":[6,59,102,130,168,186],"soft":[7,24],"materials":[8,25,53,110,131,179],"on":[9,68],"a":[10],"daily":[11],"basis":[12],"such":[13],"as":[14,63,65],"salt,":[15],"hand":[16,90],"cream,":[17],"etc.":[18],"Recently":[19],"we":[20,43],"have":[21],"shown":[22],"that":[23,54,174],"can":[26,47,176],"be":[27],"described":[28],"using":[29],"four":[30,61,107,160],"perceptual":[31,161],"dimensions":[32,62,71,171],"which":[33,180],"are":[34,72,181],"deformability,":[35],"granularity,":[36],"viscosity,":[37],"and":[38,89,94,121,141,172],"surface":[39],"softness":[40,75,147,170,188],"[1].":[41],"Here,":[42],"investigated":[44],"whether":[45],"humans":[46],"actually":[48],"perceive":[49],"systematic":[50],"differences":[51],"in":[52,122],"selectively":[55],"vary":[56],"along":[57,157,184],"one":[58],"these":[60,187],"well":[64],"how":[66],"judgments":[67,156],"the":[69,96,100,134,155,158],"correlated":[73,149],"to":[74,108,116,125,133,146],"judgments.":[76],"selected":[78],"at":[79],"least":[80],"two":[81],"material":[82,113],"classes":[83],"per":[84],"dimension":[85],"(e.g.,":[86,99],"hair":[87,103],"gel":[88],"cream":[91],"for":[92],"viscosity)":[93],"varied":[95,183],"corresponding":[97,118],"feature":[98,136],"viscosity":[101],"gel).":[104],"Participants":[105],"ordered":[106],"ten":[109],"from":[111],"each":[112,185],"class":[114],"according":[115,124,132,145],"their":[117,126],"main":[119,135],"feature,":[120],"addition,":[123],"softness.":[127],"Rank":[128,143],"orders":[129,144],"were":[137,148],"consistent":[138],"across":[139],"participants":[140],"repetitions.":[142],"either":[150],"positively":[151],"or":[152],"negatively":[153],"associated":[159],"dimensions.":[162,189],"These":[163],"findings":[164],"support":[165],"our":[166],"notion":[167],"multiple":[169],"demonstrate":[173],"people":[175],"reliably":[177],"discriminate":[178],"artificially":[182]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
