{"id":"https://openalex.org/W7125598062","doi":"https://doi.org/10.1109/metroxraine66377.2025.11340494","title":"Integrating Large Language Models into Extended Reality Environments for Enhanced User Experiences","display_name":"Integrating Large Language Models into Extended Reality Environments for Enhanced User Experiences","publication_year":2025,"publication_date":"2025-10-22","ids":{"openalex":"https://openalex.org/W7125598062","doi":"https://doi.org/10.1109/metroxraine66377.2025.11340494"},"language":null,"primary_location":{"id":"doi:10.1109/metroxraine66377.2025.11340494","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroxraine66377.2025.11340494","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)","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/A5119992062","display_name":"Luca Cordioli","orcid":"https://orcid.org/0009-0007-1988-7990"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luca Cordioli","raw_affiliation_strings":["Politecnico di Milano DEIB,Milan,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Milano DEIB,Milan,Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039916679","display_name":"Matteo Valoriani","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099772","display_name":"Ingenium (Germany)","ror":"https://ror.org/00wvsjr52","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210099772"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Matteo Valoriani","raw_affiliation_strings":["Fifth Ingenium,Milan,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fifth Ingenium,Milan,Italy","institution_ids":["https://openalex.org/I4210099772"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123733127","display_name":"Maristella Matera","orcid":null},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Maristella Matera","raw_affiliation_strings":["Politecnico di Milano DEIB,Milan,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Milano DEIB,Milan,Italy","institution_ids":["https://openalex.org/I93860229"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.62119282,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"800","last_page":"805"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10888","display_name":"Augmented Reality Applications","score":0.2150000035762787,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10888","display_name":"Augmented Reality Applications","score":0.2150000035762787,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.2004999965429306,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12031","display_name":"Speech and dialogue systems","score":0.056299999356269836,"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/embedding","display_name":"Embedding","score":0.5149999856948853},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4821000099182129},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.44359999895095825},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.38370001316070557},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.36149999499320984},{"id":"https://openalex.org/keywords/augmented-reality","display_name":"Augmented reality","score":0.329800009727478},{"id":"https://openalex.org/keywords/multimodality","display_name":"Multimodality","score":0.32919999957084656},{"id":"https://openalex.org/keywords/multimodal-interaction","display_name":"Multimodal interaction","score":0.32899999618530273}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7840999960899353},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.6506999731063843},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5149999856948853},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4821000099182129},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.44359999895095825},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.38370001316070557},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.36149999499320984},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.329800009727478},{"id":"https://openalex.org/C2780910867","wikidata":"https://www.wikidata.org/wiki/Q1952416","display_name":"Multimodality","level":2,"score":0.32919999957084656},{"id":"https://openalex.org/C135641252","wikidata":"https://www.wikidata.org/wiki/Q738567","display_name":"Multimodal interaction","level":2,"score":0.32899999618530273},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.31630000472068787},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3075000047683716},{"id":"https://openalex.org/C25344961","wikidata":"https://www.wikidata.org/wiki/Q192726","display_name":"Virtual machine","level":2,"score":0.30090001225471497},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29910001158714294},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.28290000557899475},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.2793999910354614},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.27549999952316284},{"id":"https://openalex.org/C2776977519","wikidata":"https://www.wikidata.org/wiki/Q4636326","display_name":"3D interaction","level":3,"score":0.2689000070095062},{"id":"https://openalex.org/C201025465","wikidata":"https://www.wikidata.org/wiki/Q11248500","display_name":"User experience design","level":2,"score":0.2680000066757202},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.25920000672340393},{"id":"https://openalex.org/C61641136","wikidata":"https://www.wikidata.org/wiki/Q1107019","display_name":"Cognitive load","level":3,"score":0.25780001282691956},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/metroxraine66377.2025.11340494","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroxraine66377.2025.11340494","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5756022334098816,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W3126737518","https://openalex.org/W3173439346","https://openalex.org/W4360986024","https://openalex.org/W4388328300","https://openalex.org/W4391614867","https://openalex.org/W4396833067","https://openalex.org/W4401184025","https://openalex.org/W4405004561","https://openalex.org/W4406266242","https://openalex.org/W4412986846","https://openalex.org/W4415166216"],"related_works":[],"abstract_inverted_index":{"Recent":[0],"developments":[1,188],"in":[2,129,196,206,211],"the":[3,16,37,49,154],"fields":[4],"of":[5,51,189],"Extended":[6,52],"Real-ity":[7],"(XR)":[8],"and":[9,27,46,84,96,140,169,181,214,226],"Large":[10],"Language":[11],"Models":[12],"(LLMs)":[13],"are":[14,43,61],"transforming":[15],"way":[17],"we":[18,23],"interact":[19],"with":[20,25,63],"technology,":[21],"how":[22,28],"communicate":[24],"it":[26,29],"understands":[30],"us.":[31],"Integrating":[32],"these":[33],"two":[34],"technolo-gies":[35],"has":[36],"potential":[38],"to":[39,112,173,200],"create":[40],"environments":[41],"that":[42,114],"highly":[44],"interactive":[45],"dynamic,":[47],"introducing":[48],"concept":[50],"Intelligent":[53],"Reality,":[54],"a":[55,108,124,133,178,230],"paradigm":[56],"where":[57,74],"immersive":[58,126],"XR":[59],"experiences":[60],"enhanced":[62,215],"intelligent,":[64],"context-aware":[65,103],"interactions":[66],"powered":[67],"by":[68,99,132,153],"AI":[69],"modEIS.":[70],"In":[71],"industrial":[72,198],"settings,":[73],"users":[75,172],"frequently":[76],"have":[77],"their":[78],"hands":[79],"occupied":[80],"or":[81],"require":[82],"immediate":[83],"accurate":[85,185],"information,":[86],"such":[87,148,203],"integration":[88,116],"can":[89],"significantly":[90],"streamline":[91],"tasks,":[92],"reduce":[93],"cognitive":[94],"load,":[95],"improve":[97],"productivity":[98],"providing":[100],"real-time,":[101],"precise,":[102],"support.":[104],"This":[105],"paper":[106],"presents":[107],"prototype,":[109],"\u201cLlymX\u201d,":[110],"developed":[111,128],"demonstrate":[113],"this":[115],"is":[117,121],"feasible.":[118],"The":[119],"system":[120],"built":[122],"around":[123],"3D":[125,179],"environment":[127],"Unity,":[130],"backed":[131],"LLM-driven":[134],"Python":[135],"backend":[136],"leveraging":[137],"embedding":[138],"algorithms":[139],"retrieval-augmented":[141],"generation":[142],"(RAG)":[143],"techniques":[144],"via":[145],"vector":[146],"databases":[147],"as":[149,204],"Chroma":[150],"DB,":[151],"managed":[152],"Lang-Graph":[155],"framework.":[156],"LlymX":[157,190],"allows":[158],"natural,":[159],"intuitive":[160],"interaction":[161],"through":[162],"multimodal":[163],"input":[164],"methods":[165],"like":[166],"speech,":[167],"gestures,":[168],"text,":[170],"enabling":[171],"easily":[174],"identify":[175],"objects":[176],"within":[177],"scene":[180],"retrieve":[182],"detailed,":[183],"contextually":[184],"information.":[186],"Future":[187],"will":[191],"involve":[192],"user-centered":[193],"validation":[194],"studies":[195],"realistic":[197],"scenarios":[199],"quantify":[201],"benefits":[202],"reduction":[205],"task":[207],"completion":[208],"time,":[209],"improvements":[210],"error":[212],"rates,":[213],"user":[216],"satisfaction.":[217],"Additionally,":[218],"expansion":[219],"into":[220],"other":[221],"application":[222],"domains,":[223],"including":[224],"healthcare":[225],"professional":[227],"training,":[228],"represents":[229],"promising":[231],"avenue":[232],"for":[233],"future":[234],"research.":[235]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-01-25T00:00:00"}
