{"id":"https://openalex.org/W2794697640","doi":"https://doi.org/10.1109/lra.2018.2821273","title":"Human Behavioral Metrics of a Predictive Model Emerging During Robot Assisted Following Without Visual Feedback","display_name":"Human Behavioral Metrics of a Predictive Model Emerging During Robot Assisted Following Without Visual Feedback","publication_year":2018,"publication_date":"2018-03-30","ids":{"openalex":"https://openalex.org/W2794697640","doi":"https://doi.org/10.1109/lra.2018.2821273","mag":"2794697640"},"language":"en","primary_location":{"id":"doi:10.1109/lra.2018.2821273","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2018.2821273","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766","2377-3774"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-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/A5047129372","display_name":"Anuradha Ranasinghe","orcid":null},"institutions":[{"id":"https://openalex.org/I44852757","display_name":"Liverpool Hope University","ror":"https://ror.org/03ctjbj91","country_code":"GB","type":"education","lineage":["https://openalex.org/I44852757"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Anuradha Ranasinghe","raw_affiliation_strings":["Department of Mathematics and Computer Science, Liverpool Hope University, Liverpool, U.K"],"raw_orcid":"https://orcid.org/0000-0001-5989-7316","affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, Liverpool Hope University, Liverpool, U.K","institution_ids":["https://openalex.org/I44852757"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006241226","display_name":"Prokar Dasgupta","orcid":"https://orcid.org/0000-0001-8690-0445"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Prokar Dasgupta","raw_affiliation_strings":["MRC Centre for Transplantation, DTIMB & NIHR BRC, Kings College London, London, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MRC Centre for Transplantation, DTIMB & NIHR BRC, Kings College London, London, U.K","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081696143","display_name":"Atulya K. Nagar","orcid":"https://orcid.org/0000-0001-5549-6435"},"institutions":[{"id":"https://openalex.org/I44852757","display_name":"Liverpool Hope University","ror":"https://ror.org/03ctjbj91","country_code":"GB","type":"education","lineage":["https://openalex.org/I44852757"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Atulya Nagar","raw_affiliation_strings":["Department of Mathematics and Computer Science, Liverpool Hope University, Liverpool, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, Liverpool Hope University, Liverpool, U.K","institution_ids":["https://openalex.org/I44852757"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060656142","display_name":"Thrishantha Nanayakkara","orcid":"https://orcid.org/0000-0002-1882-1232"},"institutions":[{"id":"https://openalex.org/I4210089887","display_name":"Dyson (United Kingdom)","ror":"https://ror.org/00a4npp83","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210089887"]},{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Thrishantha Nanayakkara","raw_affiliation_strings":["Dyson School of Design Engineering, Imperial College London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0002-1882-1232","affiliations":[{"raw_affiliation_string":"Dyson School of Design Engineering, Imperial College London, London, U.K","institution_ids":["https://openalex.org/I4210089887","https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.024357,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"3","issue":"3","first_page":"2624","last_page":"2631"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10982","display_name":"Motor Control and Adaptation","score":0.9984999895095825,"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/T10982","display_name":"Motor Control and Adaptation","score":0.9984999895095825,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9968000054359436,"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/T10914","display_name":"Tactile and Sensory Interactions","score":0.9962999820709229,"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/haptic-technology","display_name":"Haptic technology","score":0.8592605590820312},{"id":"https://openalex.org/keywords/proprioception","display_name":"Proprioception","score":0.6876273155212402},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6374767422676086},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6277426481246948},{"id":"https://openalex.org/keywords/sensory-system","display_name":"Sensory system","score":0.5721401572227478},{"id":"https://openalex.org/keywords/haptic-perception","display_name":"Haptic perception","score":0.5560956597328186},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5069132447242737},{"id":"https://openalex.org/keywords/grasp","display_name":"GRASP","score":0.5033015608787537},{"id":"https://openalex.org/keywords/visual-feedback","display_name":"Visual feedback","score":0.4982106685638428},{"id":"https://openalex.org/keywords/sensory-cue","display_name":"Sensory cue","score":0.4534379243850708},{"id":"https://openalex.org/keywords/perturbation","display_name":"Perturbation (astronomy)","score":0.4400850236415863},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4365483820438385},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.4154724180698395},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3593463599681854},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.33070695400238037},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.23541653156280518},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.12258997559547424},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08655482530593872}],"concepts":[{"id":"https://openalex.org/C152086174","wikidata":"https://www.wikidata.org/wiki/Q3030571","display_name":"Haptic technology","level":2,"score":0.8592605590820312},{"id":"https://openalex.org/C171790689","wikidata":"https://www.wikidata.org/wiki/Q1129066","display_name":"Proprioception","level":2,"score":0.6876273155212402},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6374767422676086},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6277426481246948},{"id":"https://openalex.org/C94487597","wikidata":"https://www.wikidata.org/wiki/Q11101","display_name":"Sensory system","level":2,"score":0.5721401572227478},{"id":"https://openalex.org/C2778360479","wikidata":"https://www.wikidata.org/wiki/Q1289489","display_name":"Haptic perception","level":3,"score":0.5560956597328186},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5069132447242737},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.5033015608787537},{"id":"https://openalex.org/C3020716817","wikidata":"https://www.wikidata.org/wiki/Q4132092","display_name":"Visual feedback","level":2,"score":0.4982106685638428},{"id":"https://openalex.org/C111370547","wikidata":"https://www.wikidata.org/wiki/Q7451120","display_name":"Sensory cue","level":2,"score":0.4534379243850708},{"id":"https://openalex.org/C177918212","wikidata":"https://www.wikidata.org/wiki/Q803623","display_name":"Perturbation (astronomy)","level":2,"score":0.4400850236415863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4365483820438385},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.4154724180698395},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3593463599681854},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.33070695400238037},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.23541653156280518},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.12258997559547424},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08655482530593872},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/lra.2018.2821273","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2018.2821273","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766","2377-3774"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-article"},{"id":"pmh:oai:kclpure.kcl.ac.uk:publications/f4553f5b-6717-46d4-8d4c-fd2bd1da5bd4","is_oa":false,"landing_page_url":"https://kclpure.kcl.ac.uk/portal/en/publications/f4553f5b-6717-46d4-8d4c-fd2bd1da5bd4","pdf_url":null,"source":{"id":"https://openalex.org/S4306400216","display_name":"Research Portal (King's College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183935753","host_organization_name":"King's College London","host_organization_lineage":["https://openalex.org/I183935753"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Ranasinghe, A, Dasgupta, P, Nagar, A & Nanayakkara, T 2018, 'Human Behavioral Metrics of a Predictive Model Emerging during Robot Assisted Following Without Visual Feedback', IEEE Robotics and Automation Letters, vol. 3, no. 3, pp. 2624-2631. https://doi.org/10.1109/LRA.2018.2821273","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:spiral.imperial.ac.uk:10044/1/58650","is_oa":false,"landing_page_url":"http://hdl.handle.net/10044/1/58650","pdf_url":null,"source":{"id":"https://openalex.org/S4306401396","display_name":"Spiral (Imperial College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I47508984","host_organization_name":"Imperial College London","host_organization_lineage":["https://openalex.org/I47508984"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2631","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G24559435","display_name":null,"funder_award_id":"EP/N03211X/2","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G319690266","display_name":null,"funder_award_id":"EP/I028757/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G3873198602","display_name":null,"funder_award_id":"EP/N03211X/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W115279027","https://openalex.org/W1597061958","https://openalex.org/W1846208418","https://openalex.org/W1976163866","https://openalex.org/W1992029493","https://openalex.org/W2000168979","https://openalex.org/W2001204559","https://openalex.org/W2038873597","https://openalex.org/W2110795172","https://openalex.org/W2130400202","https://openalex.org/W2131991519","https://openalex.org/W2133852623","https://openalex.org/W2136022845","https://openalex.org/W2142635246","https://openalex.org/W2149548695","https://openalex.org/W2169513627","https://openalex.org/W2172282005","https://openalex.org/W2245924909","https://openalex.org/W2415529945","https://openalex.org/W2423449152","https://openalex.org/W2510188544","https://openalex.org/W2537218822","https://openalex.org/W2567943059","https://openalex.org/W2615427793","https://openalex.org/W4285719527","https://openalex.org/W6604715536","https://openalex.org/W6679048471"],"related_works":["https://openalex.org/W2146087280","https://openalex.org/W2156701455","https://openalex.org/W2427793137","https://openalex.org/W2998207585","https://openalex.org/W4390817213","https://openalex.org/W2439615175","https://openalex.org/W2128748088","https://openalex.org/W61839518","https://openalex.org/W2727515034","https://openalex.org/W4210709100"],"abstract_inverted_index":{"Robot-assisted":[0],"guiding":[1,105],"is":[2,24,106],"gaining":[3],"increased":[4],"interest":[5],"due":[6,40],"to":[7,29,41,59,115,124,132,135,158],"many":[8],"applications":[9,42],"involving":[10],"moving":[11],"in":[12,77,166],"the":[13,25,74,78,98,117,133,141,182,187],"noisy":[14],"and":[15,50,69,96,155,170,192],"low":[16],"visibility":[17],"environments.":[18],"In":[19,31],"such":[20],"cases,":[21],"haptic":[22,38,55,80],"feedback":[23,39,56],"most":[26],"effective":[27],"medium":[28],"communicate.":[30],"this":[32,94],"letter,":[33],"we":[34],"focus":[35],"on":[36],"perturbation-based":[37],"like":[43,67],"guide":[44],"dogs":[45],"for":[46,186],"visually":[47],"impaired":[48],"people":[49],"potential":[51],"robotic":[52,127],"counterparts":[53],"providing":[54],"via":[57],"reins":[58],"assist":[60],"indoor":[61],"fire":[62],"fighting.":[63],"Since":[64],"proprioceptive":[65],"sensors":[66],"spindles":[68],"tendons":[70],"are":[71],"part":[72],"of":[73,93,119,140,168,173,176],"muscles":[75,169],"involved":[76],"perturbation,":[79],"perception":[81],"becomes":[82],"a":[83,120,125,149,159,174],"coupled":[84],"phenomenon":[85],"with":[86,148,162],"spontaneous":[87],"reflex":[88],"muscle":[89,193],"activity.":[90],"The":[91,164],"nature":[92],"interplay":[95],"how":[97],"model-based":[99,183],"sensory-motor":[100],"integration":[101],"evolves":[102],"during":[103,195],"haptic-based":[104],"not":[107],"well":[108],"understood":[109],"yet.":[110],"We":[111,143],"asked":[112],"human":[113],"followers":[114,146,177],"hold":[116],"handle":[118],"hard":[121],"rein":[122],"attached":[123],"one-DoF":[126],"arm":[128],"that":[129,145,181],"gave":[130],"perturbations":[131],"hand":[134],"correct":[136],"an":[137],"angle":[138],"error":[139],"follower.":[142],"found":[144],"start":[147],"second-order":[150],"reactive":[151],"autoregressive":[152],"following":[153],"model":[154,161],"changes":[156],"it":[157],"predictive":[160],"training.":[163],"reduction":[165],"cocontraction":[167],"leftward/rightward":[171],"asymmetry":[172],"set":[175],"behavioral":[178],"metrics":[179],"show":[180],"prediction":[184],"accounts":[185],"internal":[188],"coupling":[189],"between":[190],"proprioception":[191],"activity":[194],"perturbation":[196],"responses.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}