{"id":"https://openalex.org/W2169479665","doi":"https://doi.org/10.1109/haptic.2003.1191269","title":"How well can we encode spatial layout from sparse kinesthetic contact?","display_name":"How well can we encode spatial layout from sparse kinesthetic contact?","publication_year":2003,"publication_date":"2003-12-08","ids":{"openalex":"https://openalex.org/W2169479665","doi":"https://doi.org/10.1109/haptic.2003.1191269","mag":"2169479665"},"language":"en","primary_location":{"id":"doi:10.1109/haptic.2003.1191269","is_oa":false,"landing_page_url":"https://doi.org/10.1109/haptic.2003.1191269","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"11th Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, 2003. HAPTICS 2003. Proceedings.","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019042403","display_name":"Roberta L. Klatzky","orcid":"https://orcid.org/0000-0001-9701-9186"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"R.L. Klatzky","raw_affiliation_strings":["Carnegie Mellon University, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073966790","display_name":"Susan J. Lederman","orcid":null},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"S.J. Lederman","raw_affiliation_strings":["Queen's University, Canada"],"affiliations":[{"raw_affiliation_string":"Queen's University, Canada","institution_ids":["https://openalex.org/I204722609"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5019042403"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":1.5846,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.85263158,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"18","issue":null,"first_page":"179","last_page":"186"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11904","display_name":"Spatial Cognition and Navigation","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11904","display_name":"Spatial Cognition and Navigation","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9975000023841858,"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/T10427","display_name":"Visual perception and processing mechanisms","score":0.9923999905586243,"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/kinesthetic-learning","display_name":"Kinesthetic learning","score":0.6686328649520874},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.658993124961853},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.6499740481376648},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.6327414512634277},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5742781758308411},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5731943845748901},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5711413621902466},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5602251291275024},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5538055300712585},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.4730324447154999},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2531532049179077},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.19533208012580872},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09608352184295654},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09242510795593262},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.06178295612335205}],"concepts":[{"id":"https://openalex.org/C55457006","wikidata":"https://www.wikidata.org/wiki/Q3647098","display_name":"Kinesthetic learning","level":2,"score":0.6686328649520874},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.658993124961853},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.6499740481376648},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.6327414512634277},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5742781758308411},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5731943845748901},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5711413621902466},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5602251291275024},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5538055300712585},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.4730324447154999},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2531532049179077},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.19533208012580872},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09608352184295654},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09242510795593262},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.06178295612335205},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/haptic.2003.1191269","is_oa":false,"landing_page_url":"https://doi.org/10.1109/haptic.2003.1191269","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"11th Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, 2003. HAPTICS 2003. Proceedings.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W646290213","https://openalex.org/W1536085466","https://openalex.org/W1601309026","https://openalex.org/W1990527999","https://openalex.org/W1998185965","https://openalex.org/W1998626419","https://openalex.org/W1998769269","https://openalex.org/W2034697926","https://openalex.org/W2046769754","https://openalex.org/W2051717242","https://openalex.org/W2077247990","https://openalex.org/W2090958854","https://openalex.org/W2133183969","https://openalex.org/W2134569983","https://openalex.org/W2155785529","https://openalex.org/W2489093554","https://openalex.org/W4240383846","https://openalex.org/W4243801286","https://openalex.org/W4251526942","https://openalex.org/W4294555118","https://openalex.org/W6833562720"],"related_works":["https://openalex.org/W3111440524","https://openalex.org/W2558272010","https://openalex.org/W2731243571","https://openalex.org/W4385174651","https://openalex.org/W3162087156","https://openalex.org/W1597792207","https://openalex.org/W2133182130","https://openalex.org/W2921166921","https://openalex.org/W1566020258","https://openalex.org/W4210345773"],"abstract_inverted_index":{"We":[0,19],"investigated":[1],"people's":[2],"ability":[3],"to":[4,60,68,77,106,141,155],"report":[5],"the":[6,22,48,69,94,97,102,107,129,132,137,142,163],"shape":[7,43,130,164],"and":[8,44,82,110,145,165],"scale":[9,95,166],"of":[10,25,42,50,96,104,131,139,167],"a":[11,36,61,78,84,120,168],"spatial":[12],"layout":[13,28,171],"after":[14,64,172],"sparse":[15,173],"contact,":[16],"without":[17],"vision.":[18],"propose":[20],"that":[21,39],"initial":[23],"representation":[24,38],"sparsely":[26],"contacted":[27],"is":[29],"kinesthetic.":[30],"From":[31],"this":[32],"can":[33],"be":[34],"computed":[35],"configural":[37],"supports":[40],"reports":[41],"scale,":[45],"but":[46],"at":[47,119],"cost":[49],"increased":[51],"error.":[52],"In":[53],"four":[54],"experiments,":[55],"participants'":[56],"fingers":[57],"were":[58,99,134],"guided":[59],"two-point":[62],"layout,":[63,98,133],"which":[65],"they":[66],"returned":[67],"points":[70,109,144],"or":[71],"reported":[72,118,153],"distance":[73,116],"and/or":[74],"angle,":[75,127],"subject":[76,154],"change":[79],"in":[80,89,124],"location":[81],"sometimes":[83],"rotation":[85],"as":[86,113,148],"well.":[87],"Errors":[88,123],"reproducing":[90,125],"inter-point":[91,126],"distance,":[92],"i.e.,":[93,128],"smallest":[100,135],"for":[101,136],"task":[103,138],"returning":[105,140],"touched":[108,143],"nearly":[111,146],"twice":[112,147],"great":[114,149],"when":[115,150],"was":[117,152],"new":[121],"location.":[122],"angle":[151],"rotation.":[156],"The":[157],"data":[158],"highlight":[159],"limitations":[160],"on":[161],"reporting":[162],"haptically":[169],"rendered":[170],"contact.":[174]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
