{"id":"https://openalex.org/W4389667263","doi":"https://doi.org/10.1109/iros55552.2023.10341499","title":"How Do Humans Provide Motion Assistance for a Robotic Shape-Tracing Task?","display_name":"How Do Humans Provide Motion Assistance for a Robotic Shape-Tracing Task?","publication_year":2023,"publication_date":"2023-10-01","ids":{"openalex":"https://openalex.org/W4389667263","doi":"https://doi.org/10.1109/iros55552.2023.10341499"},"language":"en","primary_location":{"id":"doi:10.1109/iros55552.2023.10341499","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iros55552.2023.10341499","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5003051611","display_name":"Taylor M. Higgins","orcid":"https://orcid.org/0000-0001-5853-2382"},"institutions":[{"id":"https://openalex.org/I103163165","display_name":"Florida State University","ror":"https://ror.org/05g3dte14","country_code":"US","type":"education","lineage":["https://openalex.org/I103163165"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Taylor M. Higgins","raw_affiliation_strings":["Florida State University,Department of Mechanical Engineering,Tallahassee,FL,USA","Department of Mechanical Engineering, Florida State University, Tallahassee, FL, USA"],"affiliations":[{"raw_affiliation_string":"Florida State University,Department of Mechanical Engineering,Tallahassee,FL,USA","institution_ids":["https://openalex.org/I103163165"]},{"raw_affiliation_string":"Department of Mechanical Engineering, Florida State University, Tallahassee, FL, USA","institution_ids":["https://openalex.org/I103163165"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024579735","display_name":"Ann Majewicz Fey","orcid":"https://orcid.org/0000-0002-1802-6730"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ann Majewicz Fey","raw_affiliation_strings":["University of Texas at Austin,Department of Mechanical Engineering,Austin,TX,USA","Department of Mechanical Engineering, University of Texas at Austin, Austin, TX, USA"],"affiliations":[{"raw_affiliation_string":"University of Texas at Austin,Department of Mechanical Engineering,Austin,TX,USA","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"Department of Mechanical Engineering, University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5003051611"],"corresponding_institution_ids":["https://openalex.org/I103163165"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20723983,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"9853","last_page":"9858"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10653","display_name":"Robot Manipulation and Learning","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10982","display_name":"Motor Control and Adaptation","score":0.9954000115394592,"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/T10914","display_name":"Tactile and Sensory Interactions","score":0.982699990272522,"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/computer-science","display_name":"Computer science","score":0.703352689743042},{"id":"https://openalex.org/keywords/tracing","display_name":"Tracing","score":0.6619424819946289},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6088389158248901},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5964140892028809},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5245433449745178},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.511924147605896},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.4308944046497345},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3489607572555542},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3324786424636841},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1191239058971405}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.703352689743042},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.6619424819946289},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6088389158248901},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5964140892028809},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5245433449745178},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.511924147605896},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4308944046497345},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3489607572555542},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3324786424636841},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1191239058971405},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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":1,"locations":[{"id":"doi:10.1109/iros55552.2023.10341499","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iros55552.2023.10341499","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G34754973","display_name":null,"funder_award_id":"R01EB030125","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1885639605","https://openalex.org/W1970935329","https://openalex.org/W1993164840","https://openalex.org/W2000034464","https://openalex.org/W2004342680","https://openalex.org/W2008886640","https://openalex.org/W2093185395","https://openalex.org/W2100976018","https://openalex.org/W2332563861","https://openalex.org/W2585095158","https://openalex.org/W2586296014","https://openalex.org/W2606201132","https://openalex.org/W2609988131","https://openalex.org/W2742657433","https://openalex.org/W2784881541","https://openalex.org/W2807902000","https://openalex.org/W3012966102","https://openalex.org/W3093887835","https://openalex.org/W3094309285","https://openalex.org/W3099358007","https://openalex.org/W3173760976","https://openalex.org/W3209743495","https://openalex.org/W6644237031"],"related_works":["https://openalex.org/W2888673113","https://openalex.org/W2212288070","https://openalex.org/W2056065966","https://openalex.org/W2352602608","https://openalex.org/W2062641654","https://openalex.org/W3149975758","https://openalex.org/W1517786189","https://openalex.org/W3213987435","https://openalex.org/W3213722473","https://openalex.org/W2110944602"],"abstract_inverted_index":{"Often":[0],"in":[1,33,38,94,171,188,247],"the":[2,12,141,152,155,161,168,175,189,193,199,218,223],"field":[3],"of":[4,118,143],"haptic":[5,107],"guidance,":[6],"an":[7,66,100,242],"important":[8],"question":[9],"is":[10],"how":[11],"robotic":[13,89,169,176,194],"device":[14,90,108],"should":[15],"assist":[16,64,87],"some":[17,56,95],"imperfect":[18],"human":[19,31,162,200,224],"movement.":[20],"While":[21],"many":[22],"control":[23],"strategies":[24],"have":[25],"been":[26],"suggested":[27],"to":[28,63,77,86,150,166,205,227,235,244],"help":[29,151],"improve":[30,167,206],"performance":[32],"particular":[34],"tasks,":[35],"structuring":[36],"guidance":[37],"a":[39,50,74,88,106,110,126,147,236],"generalizable":[40],"way":[41,96],"remains":[42],"elusive.":[43],"Many":[44],"assistive":[45],"controllers":[46],"rely":[47],"on":[48,146],"predicting":[49],"user's":[51,148],"goal":[52],"movement":[53],"or":[54],"knowing":[55],"idealized":[57],"trajectory":[58],"a-priori":[59],"but":[60,114],"may":[61],"fail":[62],"during":[65,102],"arbitrary":[67],"task.":[68,157],"In":[69,217],"this":[70],"study,":[71],"we":[72,83,124],"propose":[73],"\u2018flipped\u2019":[75],"approach":[76],"studying":[78],"human-robot":[79],"collaborative":[80],"behavior":[81],"-":[82],"ask":[84],"humans":[85],"whose":[91],"movements":[92],"are":[93],"imperfect.":[97],"We":[98,138,158],"conducted":[99],"experiment":[101],"which":[103],"subjects":[104],"assisted":[105],"performing":[109],"shape-following":[111],"task":[112],"autonomously":[113],"with":[115,134,238],"different":[116],"types":[117],"error-prone":[119],"controllers.":[120],"For":[121],"each":[122],"shape,":[123],"evaluated":[125,140],"simple":[127],"trajectory-following":[128],"controller":[129,195],"as":[130,132],"well":[131],"one":[133],"human-like":[135],"motion":[136,177],"constraints.":[137],"also":[139],"role":[142],"visual":[144,215,220],"feedback":[145,221],"ability":[149],"robot":[153,237],"accomplish":[154],"unknown":[156],"found":[159],"that":[160,248],"was":[163,186,202],"generally":[164],"able":[165,204],"error":[170,184,230],"all":[172],"trajectories":[173],"when":[174,213],"did":[178],"not":[179,203],"include":[180],"gravity":[181,197,239],"compensation;":[182],"however,":[183],"reduction":[185],"primarily":[187],"vertical":[190,211],"direction.":[191],"When":[192],"included":[196],"compensation,":[198,240],"user":[201,225],"errors":[207,212],"significantly,":[208],"except":[209],"for":[210,231],"provided":[214],"feedback.":[216],"no":[219],"conditions,":[222],"contributed":[226],"significantly":[228],"greater":[229],"most":[232],"paths":[233],"compared":[234],"indicating":[241],"inability":[243],"provide":[245],"assistance":[246],"case.":[249]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}
