{"id":"https://openalex.org/W4410226561","doi":"https://doi.org/10.1109/lra.2025.3568617","title":"Demonstration Based Explainable AI for Learning From Demonstration Methods","display_name":"Demonstration Based Explainable AI for Learning From Demonstration Methods","publication_year":2025,"publication_date":"2025-05-09","ids":{"openalex":"https://openalex.org/W4410226561","doi":"https://doi.org/10.1109/lra.2025.3568617"},"language":"en","primary_location":{"id":"doi:10.1109/lra.2025.3568617","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2025.3568617","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"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/A5015341150","display_name":"Morris Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Morris Gu","raw_affiliation_strings":["Monash University, Melbourne, VIC, Australia"],"raw_orcid":"https://orcid.org/0009-0001-5490-0296","affiliations":[{"raw_affiliation_string":"Monash University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035882135","display_name":"Elizabeth A. Croft","orcid":"https://orcid.org/0000-0002-9639-5291"},"institutions":[{"id":"https://openalex.org/I212119943","display_name":"University of Victoria","ror":"https://ror.org/04s5mat29","country_code":"CA","type":"education","lineage":["https://openalex.org/I212119943"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Elizabeth Croft","raw_affiliation_strings":["University of Victoria, Victoria, BV, Canada"],"raw_orcid":"https://orcid.org/0000-0002-9639-5291","affiliations":[{"raw_affiliation_string":"University of Victoria, Victoria, BV, Canada","institution_ids":["https://openalex.org/I212119943"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072377971","display_name":"Dana Kuli\u0107","orcid":"https://orcid.org/0000-0002-4169-2141"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Dana Kuli\u0107","raw_affiliation_strings":["Monash University, Melbourne, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0002-4169-2141","affiliations":[{"raw_affiliation_string":"Monash University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I56590836"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.792,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.90441998,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"10","issue":"7","first_page":"6552","last_page":"6559"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9843999743461609,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9843999743461609,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9067999720573425,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6349408626556396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5279361605644226},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4373512864112854},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34575045108795166}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6349408626556396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5279361605644226},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4373512864112854},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34575045108795166}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lra.2025.3568617","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2025.3568617","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1787224781","https://openalex.org/W1999874108","https://openalex.org/W2027669064","https://openalex.org/W2511397010","https://openalex.org/W2516809705","https://openalex.org/W2735318784","https://openalex.org/W2788403449","https://openalex.org/W2891503716","https://openalex.org/W2915550854","https://openalex.org/W2981731882","https://openalex.org/W2982138725","https://openalex.org/W2990964856","https://openalex.org/W2994446013","https://openalex.org/W2995523160","https://openalex.org/W3000120900","https://openalex.org/W3014235025","https://openalex.org/W3037767967","https://openalex.org/W3197594072","https://openalex.org/W3207456112","https://openalex.org/W4290617519","https://openalex.org/W6640443443","https://openalex.org/W6674884181","https://openalex.org/W6739585900","https://openalex.org/W6767858076","https://openalex.org/W6770555722","https://openalex.org/W6778229956","https://openalex.org/W6788277597","https://openalex.org/W6791257993","https://openalex.org/W6804085326","https://openalex.org/W6810738896","https://openalex.org/W6857958839","https://openalex.org/W6862368095"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Learning":[0],"from":[1],"Demonstration":[2],"(LfD)":[3],"is":[4,83],"a":[5,54,107,111,125,132,134],"powerful":[6],"type":[7],"of":[8,114,140],"machine":[9],"learning":[10,24,78],"that":[11,145],"can":[12,151],"allow":[13],"novices":[14,34],"to":[15,18,35,48,56,90,95,106,109,161],"teach":[16],"robots":[17],"complete":[19],"various":[20],"tasks.":[21],"However,":[22],"the":[23,57,141,146,158,163],"process":[25],"for":[26,33],"these":[27],"systems":[28],"may":[29],"still":[30],"be":[31],"difficult":[32],"interpret":[36],"and":[37,100,117,157,166],"understand,":[38],"making":[39],"effective":[40],"teaching":[41,97,131,155],"challenging.":[42],"Explainable":[43],"artificial":[44],"intelligence":[45],"(XAI)":[46],"aims":[47],"address":[49],"this":[50,60],"challenge":[51],"by":[52,67,85,98],"explaining":[53],"system":[55,73,93,121,150],"user.":[58],"In":[59],"work,":[61],"we":[62],"investigate":[63],"XAI":[64],"within":[65],"LfD":[66],"implementing":[68],"an":[69,75],"adaptive":[70],"explanatory":[71,148],"feedback":[72,82,149],"on":[74],"inverse":[76],"reinforcement":[77],"(IRL)":[79],"algorithm.":[80],"The":[81,92,120,138],"implemented":[84],"demonstrating":[86],"selected":[87],"learnt":[88],"trajectories":[89,104],"users.":[91],"adapts":[94],"user":[96,126,142],"categorizing":[99],"then":[101],"selectively":[102],"sampling":[103],"shown":[105],"user,":[108],"show":[110],"representative":[112],"sample":[113],"both":[115],"successful":[116],"unsuccessful":[118],"trajectories.":[119],"was":[122],"evaluated":[123],"through":[124],"study":[127,143],"with":[128],"26":[129],"participants":[130],"robot":[133,153],"multi-goal":[135],"navigation":[136],"task.":[137],"results":[139],"demonstrated":[144],"proposed":[147],"improve":[152],"performance,":[154],"efficiency":[156],"user's":[159],"ability":[160],"predict":[162],"robot's":[164],"goals":[165],"actions.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}