{"id":"https://openalex.org/W2158281221","doi":"https://doi.org/10.1109/robot.1996.506568","title":"On the fidelity of human skill models","display_name":"On the fidelity of human skill models","publication_year":2002,"publication_date":"2002-12-23","ids":{"openalex":"https://openalex.org/W2158281221","doi":"https://doi.org/10.1109/robot.1996.506568","mag":"2158281221"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/robot.1996.506568","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5003619269","display_name":"M.C. Nechyba","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"funder","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M.C. Nechyba","raw_affiliation_strings":["The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052179294","display_name":"Yangsheng Xu","orcid":"https://orcid.org/0000-0002-1668-4502"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"funder","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"None Yangsheng Xu","raw_affiliation_strings":["The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":27,"citation_normalized_percentile":{"value":0.879069,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":88},"biblio":{"volume":"3","issue":null,"first_page":"2688","last_page":"2693"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9976,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9976,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9939,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9837,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6796286},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.48431793},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34890443},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/robot.1996.506568","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.48,"id":"https://metadata.un.org/sdg/4","display_name":"Quality education"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":13,"referenced_works":["https://openalex.org/W1825618275","https://openalex.org/W2003333103","https://openalex.org/W2013120473","https://openalex.org/W2086699924","https://openalex.org/W2100675398","https://openalex.org/W2108259386","https://openalex.org/W2115877992","https://openalex.org/W2125838338","https://openalex.org/W2134383396","https://openalex.org/W2591711098","https://openalex.org/W313011315","https://openalex.org/W3148186152","https://openalex.org/W3175268321"],"related_works":["https://openalex.org/W3213790291","https://openalex.org/W2899084033","https://openalex.org/W2817444178","https://openalex.org/W2765180607","https://openalex.org/W2748952813","https://openalex.org/W2468514837","https://openalex.org/W2381850946","https://openalex.org/W2231829109","https://openalex.org/W2164587298","https://openalex.org/W2084635560"],"abstract_inverted_index":{"Modeling":[0],"dynamic":[1],"human":[2,6,120],"control":[3],"strategy,":[4],"or":[5],"skill,":[7],"in":[8,19,53,112],"response":[9],"to":[10,58,103],"real-time":[11,119],"sensing":[12],"is":[13],"becoming":[14],"an":[15,66],"increasingly":[16],"popular":[17],"paradigm":[18],"many":[20],"research":[21],"areas.":[22],"These":[23],"models":[24,46,76,117],"are":[25,101],"learned":[26,45,95],"from":[27],"experimental":[28],"data,":[29],"and":[30,93],"as":[31],"such":[32],"can":[33],"be":[34],"characterized":[35],"despite":[36],"the":[37,59,90,94,109,113],"lack":[38],"of":[39,55,115],"a":[40,82],"good":[41],"physical":[42],"model.":[43],"Unfortunately,":[44],"presently":[47],"offer":[48],"few,":[49],"if":[50],"any,":[51],"guarantees":[52],"terms":[54],"model":[56,69,105],"fidelity":[57],"source":[60,91],"data.":[61],"As":[62],"such,":[63],"we":[64,100],"propose":[65],"independent,":[67],"post-training":[68],"validation":[70,114],"procedure":[71],"based":[72],"on":[73],"hidden":[74],"Markov":[75],"(HMMs).":[77],"The":[78],"proposed":[79,110],"method":[80,111],"generates":[81],"stochastic":[83],"similarity":[84],"measure":[85],"comparing":[86],"system":[87],"trajectories":[88],"for":[89,118],"process":[92],"models.":[96],"Using":[97],"this":[98],"method,":[99],"able":[102],"verify":[104],"fidelity.":[106],"We":[107],"demonstrate":[108],"neural-network":[116],"driving":[121],"skill.":[122]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2158281221","counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-04-15T20:51:48.435966","created_date":"2016-06-24"}