{"id":"https://openalex.org/W7125587830","doi":"https://doi.org/10.1109/metroxraine66377.2025.11340339","title":"Development of a Human-inspired Long-Term Memory for Interactive Conversational Agents","display_name":"Development of a Human-inspired Long-Term Memory for Interactive Conversational Agents","publication_year":2025,"publication_date":"2025-10-22","ids":{"openalex":"https://openalex.org/W7125587830","doi":"https://doi.org/10.1109/metroxraine66377.2025.11340339"},"language":"en","primary_location":{"id":"doi:10.1109/metroxraine66377.2025.11340339","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroxraine66377.2025.11340339","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/A5123756030","display_name":"Angelo De Marco","orcid":null},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Angelo De Marco","raw_affiliation_strings":["University of Pisa,Dept Information Engineering,Pisa,Italy"],"affiliations":[{"raw_affiliation_string":"University of Pisa,Dept Information Engineering,Pisa,Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066840168","display_name":"Federico A. Galatolo","orcid":"https://orcid.org/0000-0001-7193-3754"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Federico A. Galatolo","raw_affiliation_strings":["University of Pisa,Dept Information Engineering,Pisa,Italy"],"affiliations":[{"raw_affiliation_string":"University of Pisa,Dept Information Engineering,Pisa,Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016791461","display_name":"Lorenzo Cominelli","orcid":"https://orcid.org/0000-0001-8333-7538"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lorenzo Cominelli","raw_affiliation_strings":["University of Pisa,Dept Information Engineering,Pisa,Italy"],"affiliations":[{"raw_affiliation_string":"University of Pisa,Dept Information Engineering,Pisa,Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037237559","display_name":"M. Pardini","orcid":null},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Pardini","raw_affiliation_strings":["University of Pisa,Dept Information Engineering,Pisa,Italy"],"affiliations":[{"raw_affiliation_string":"University of Pisa,Dept Information Engineering,Pisa,Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123766077","display_name":"Mario G.C.A. Cimino","orcid":null},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mario G.C.A. Cimino","raw_affiliation_strings":["University of Pisa,Dept Information Engineering,Pisa,Italy"],"affiliations":[{"raw_affiliation_string":"University of Pisa,Dept Information Engineering,Pisa,Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022849441","display_name":"Alberto Greco","orcid":"https://orcid.org/0000-0003-2387-9049"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alberto Greco","raw_affiliation_strings":["University of Pisa,Dept Information Engineering,Pisa,Italy"],"affiliations":[{"raw_affiliation_string":"University of Pisa,Dept Information Engineering,Pisa,Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007174065","display_name":"Enzo Pasquale Scilingo","orcid":"https://orcid.org/0000-0003-2588-4917"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Enzo Pasquale Scilingo","raw_affiliation_strings":["University of Pisa,Dept Information Engineering,Pisa,Italy"],"affiliations":[{"raw_affiliation_string":"University of Pisa,Dept Information Engineering,Pisa,Italy","institution_ids":["https://openalex.org/I108290504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5123756030"],"corresponding_institution_ids":["https://openalex.org/I108290504"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.89775741,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"657","last_page":"662"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12607","display_name":"Personal Information Management and User Behavior","score":0.21279999613761902,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12607","display_name":"Personal Information Management and User Behavior","score":0.21279999613761902,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12128","display_name":"AI in Service Interactions","score":0.16519999504089355,"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/T14074","display_name":"Persona Design and Applications","score":0.13750000298023224,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/episodic-memory","display_name":"Episodic memory","score":0.6155999898910522},{"id":"https://openalex.org/keywords/semantic-memory","display_name":"Semantic memory","score":0.5386000275611877},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5187000036239624},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5166000127792358},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.3840000033378601},{"id":"https://openalex.org/keywords/persona","display_name":"Persona","score":0.3231000006198883},{"id":"https://openalex.org/keywords/dialog-system","display_name":"Dialog system","score":0.2964000105857849},{"id":"https://openalex.org/keywords/human-memory","display_name":"Human memory","score":0.2879999876022339}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7980999946594238},{"id":"https://openalex.org/C88576662","wikidata":"https://www.wikidata.org/wiki/Q18646","display_name":"Episodic memory","level":3,"score":0.6155999898910522},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5536999702453613},{"id":"https://openalex.org/C197914299","wikidata":"https://www.wikidata.org/wiki/Q18650","display_name":"Semantic memory","level":3,"score":0.5386000275611877},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5187000036239624},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5166000127792358},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3840000033378601},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3675000071525574},{"id":"https://openalex.org/C313442","wikidata":"https://www.wikidata.org/wiki/Q778556","display_name":"Persona","level":2,"score":0.3231000006198883},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.31700000166893005},{"id":"https://openalex.org/C190954187","wikidata":"https://www.wikidata.org/wiki/Q5270587","display_name":"Dialog system","level":3,"score":0.2964000105857849},{"id":"https://openalex.org/C2985957978","wikidata":"https://www.wikidata.org/wiki/Q492","display_name":"Human memory","level":3,"score":0.2879999876022339},{"id":"https://openalex.org/C82687282","wikidata":"https://www.wikidata.org/wiki/Q66221","display_name":"Auxiliary memory","level":2,"score":0.2827000021934509},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.28209999203681946},{"id":"https://openalex.org/C12186640","wikidata":"https://www.wikidata.org/wiki/Q6815743","display_name":"Memory model","level":3,"score":0.27570000290870667},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C74072328","wikidata":"https://www.wikidata.org/wiki/Q1142726","display_name":"Intelligent agent","level":2,"score":0.25850000977516174},{"id":"https://openalex.org/C2983448237","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Language understanding","level":2,"score":0.251800000667572},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.2508000135421753},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.2500999867916107},{"id":"https://openalex.org/C2993724205","wikidata":"https://www.wikidata.org/wiki/Q315","display_name":"Human language","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/metroxraine66377.2025.11340339","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroxraine66377.2025.11340339","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"},{"id":"pmh:oai:arpi.unipi.it:11568/1345527","is_oa":false,"landing_page_url":"https://hdl.handle.net/11568/1345527","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1967507142","https://openalex.org/W2080543434","https://openalex.org/W2093822404","https://openalex.org/W2096733369","https://openalex.org/W2124153811","https://openalex.org/W2159345153","https://openalex.org/W2556093109","https://openalex.org/W3216414477","https://openalex.org/W4392414327","https://openalex.org/W4393147158","https://openalex.org/W4411119304"],"related_works":[],"abstract_inverted_index":{"The":[0,74],"ability":[1],"to":[2,77,146,167,188],"establish":[3],"and":[4,23,33,106,118,138,143,200],"maintain":[5],"relationships":[6],"with":[7,64],"users":[8],"is":[9,102,116,157],"crucial":[10],"for":[11,42,204],"Interactive":[12],"Conversational":[13],"Agents":[14],"(ICAs).":[15],"This":[16],"involves":[17,82],"remembering":[18],"information":[19,115,171],"from":[20,52,108],"previous":[21,85],"interactions":[22],"utilizing":[24],"it":[25],"in":[26,36,80,87,154],"future":[27],"conversations-key":[28],"behaviors":[29],"that":[30,69,181],"build":[31],"rapport":[32],"demonstrate":[34],"interest":[35],"the":[37,158],"user,":[38],"which":[39],"are":[40],"essential":[41,114],"sustained":[43],"engagement.":[44],"Current":[45],"conversational":[46,54],"agents":[47,60],"typically":[48],"rely":[49],"on":[50],"context":[51],"recent":[53],"turns.":[55],"To":[56],"enhance":[57],"interaction":[58],"quality,":[59],"should":[61,172],"be":[62,173],"equipped":[63],"a":[65,93,126,161,201],"Long-Term":[66],"Memory":[67],"(LTM)":[68],"encompasses":[70],"entire":[71,206],"past":[72,207],"conversations.":[73,176],"state-of-the-art":[75],"approach":[76,156,183],"incorporating":[78],"LTM":[79],"ICAs":[81],"saving":[83],"all":[84],"turns":[86],"an":[88],"external":[89],"storage":[90],"system":[91,129],"(e.g.,":[92],"plain":[94],"database).":[95],"Despite":[96],"achieving":[97],"considerable":[98],"results,":[99],"this":[100],"method":[101],"not":[103],"biologically":[104],"inspired":[105,130],"diverges":[107],"how":[109],"human":[110,132],"memory":[111,128,133],"works-where":[112],"only":[113],"stored":[117,174],"reconstructed":[119],"generatively":[120],"using":[121],"semantic":[122],"memory.":[123],"We":[124],"propose":[125],"hierarchical":[127],"by":[131],"stratification.":[134],"It":[135],"dynamically":[136],"updates":[137],"retrieves":[139],"contextually":[140],"relevant":[141],"episodic":[142],"declarative":[144],"memories":[145],"support":[147],"semantically":[148],"enriched":[149],"interactions.":[150],"A":[151],"significant":[152],"innovation":[153],"our":[155,182],"use":[159],"of":[160],"Large":[162],"Language":[163],"Model":[164],"(LLM)":[165],"Agent":[166],"determine":[168],"what":[169],"structured":[170],"during":[175],"Our":[177],"preliminary":[178],"results":[179],"suggest":[180],"maintains":[184],"competitive":[185],"performance":[186],"compared":[187],"existing":[189],"methods":[190],"while":[191],"introducing":[192],"novel":[193],"features":[194],"such":[195],"as":[196],"graph-based":[197],"persona":[198],"representation":[199],"reduced":[202],"need":[203],"storing":[205],"dialogues.":[208]},"counts_by_year":[],"updated_date":"2026-01-25T23:08:32.236327","created_date":"2026-01-25T00:00:00"}