{"id":"https://openalex.org/W7138250834","doi":"https://doi.org/10.1609/aaai.v40i21.38818","title":"TRIPLE: Theory-Driven Integration of Planned and Habitual Behaviors for LLM-based Personalization","display_name":"TRIPLE: Theory-Driven Integration of Planned and Habitual Behaviors for LLM-based Personalization","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7138250834","doi":"https://doi.org/10.1609/aaai.v40i21.38818"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v40i21.38818","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i21.38818","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v40i21.38818","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065430470","display_name":"Taehyung Noh","orcid":"https://orcid.org/0000-0002-1449-510X"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Taehyung Noh","raw_affiliation_strings":["Hanyang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanyang University","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014778389","display_name":"Seungwan Jin","orcid":"https://orcid.org/0000-0002-0542-2793"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seungwan Jin","raw_affiliation_strings":["Hanyang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanyang University","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013775929","display_name":"Haein Yeo","orcid":"https://orcid.org/0009-0003-9458-0906"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Haein Yeo","raw_affiliation_strings":["Hanyang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanyang University","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066977998","display_name":"Kyungsik Han","orcid":"https://orcid.org/0000-0001-5535-0081"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyungsik Han","raw_affiliation_strings":["Hanyang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanyang University","institution_ids":["https://openalex.org/I4575257"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4575257"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"21","first_page":"17626","last_page":"17634"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12128","display_name":"AI in Service Interactions","score":0.2379000037908554,"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/T12128","display_name":"AI in Service Interactions","score":0.2379000037908554,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.13840000331401825,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10028","display_name":"Topic Modeling","score":0.08990000188350677,"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/personalization","display_name":"Personalization","score":0.7425000071525574},{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.7261000275611877},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.5159000158309937},{"id":"https://openalex.org/keywords/user-modeling","display_name":"User modeling","score":0.4185999929904938},{"id":"https://openalex.org/keywords/headline","display_name":"Headline","score":0.41339999437332153},{"id":"https://openalex.org/keywords/theory-of-planned-behavior","display_name":"Theory of planned behavior","score":0.4068000018596649},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.3935999870300293},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.38100001215934753},{"id":"https://openalex.org/keywords/crowd-psychology","display_name":"Crowd psychology","score":0.365200012922287}],"concepts":[{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.7425000071525574},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.7261000275611877},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.5159000158309937},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4957999885082245},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4318999946117401},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.4185999929904938},{"id":"https://openalex.org/C2778689934","wikidata":"https://www.wikidata.org/wiki/Q1313396","display_name":"Headline","level":2,"score":0.41339999437332153},{"id":"https://openalex.org/C89785696","wikidata":"https://www.wikidata.org/wiki/Q2290753","display_name":"Theory of planned behavior","level":3,"score":0.4068000018596649},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.398499995470047},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.3935999870300293},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.38100001215934753},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.3799999952316284},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3653999865055084},{"id":"https://openalex.org/C44042526","wikidata":"https://www.wikidata.org/wiki/Q1355183","display_name":"Crowd psychology","level":2,"score":0.365200012922287},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.3497999906539917},{"id":"https://openalex.org/C117035363","wikidata":"https://www.wikidata.org/wiki/Q3769299","display_name":"Human behavior","level":2,"score":0.34290000796318054},{"id":"https://openalex.org/C2989277270","wikidata":"https://www.wikidata.org/wiki/Q168338","display_name":"Behavioral analysis","level":2,"score":0.3172999918460846},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.298799991607666},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.28999999165534973},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.28859999775886536},{"id":"https://openalex.org/C101068787","wikidata":"https://www.wikidata.org/wiki/Q475042","display_name":"Experimental psychology","level":3,"score":0.27790001034736633},{"id":"https://openalex.org/C156325361","wikidata":"https://www.wikidata.org/wiki/Q1152864","display_name":"Grounded theory","level":3,"score":0.2777000069618225},{"id":"https://openalex.org/C5570062","wikidata":"https://www.wikidata.org/wiki/Q3919817","display_name":"Behavioural sciences","level":2,"score":0.2752000093460083},{"id":"https://openalex.org/C83804111","wikidata":"https://www.wikidata.org/wiki/Q1063558","display_name":"Behavioral pattern","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C2776435913","wikidata":"https://www.wikidata.org/wiki/Q7316334","display_name":"Restrictiveness","level":2,"score":0.26330000162124634},{"id":"https://openalex.org/C2910200283","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychological Theory","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C78639753","wikidata":"https://www.wikidata.org/wiki/Q3318160","display_name":"Behavioral modeling","level":2,"score":0.25949999690055847},{"id":"https://openalex.org/C109574028","wikidata":"https://www.wikidata.org/wiki/Q647525","display_name":"Behavioral economics","level":2,"score":0.2581999897956848},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.25679999589920044},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2554999887943268},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.2522999942302704},{"id":"https://openalex.org/C2985684807","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Text generation","level":2,"score":0.2522999942302704}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v40i21.38818","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i21.38818","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/38818","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/38818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i21.38818","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i21.38818","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"While":[0],"large":[1],"language":[2],"model":[3,76],"(LLM)-based":[4],"user":[5,60,87,119,183,211],"profiling":[6],"offers":[7],"significant":[8],"potential":[9],"for":[10,38,45,207],"personalization,":[11],"most":[12],"existing":[13,145],"approaches":[14],"rely":[15],"on":[16,96,127,153],"empirical":[17],"heuristics":[18],"and":[19,40,91,103,114,160,170,178,202],"lack":[20],"grounding":[21],"in":[22,121],"the":[23,97,110,132,168],"psychological":[24],"mechanism":[25],"that":[26,50,108,141,167,190],"drive":[27],"human":[28],"behavior.":[29,184],"In":[30],"this":[31],"paper,":[32],"we":[33],"introduce":[34],"TRIPLE":[35,62,126,142,175],"(Theory-guided":[36],"Reasoning":[37],"Intent":[39],"habIt":[41],"Profiling":[42],"with":[43,149],"LLMs":[44],"pErsonalization),":[46],"a":[47,65,205],"novel":[48],"framework":[49],"systematically":[51],"integrates":[52],"dual-process":[53],"theory":[54],"from":[55,131],"social":[56],"psychology":[57],"into":[58,195],"LLM-based":[59,196],"modeling.":[61,212],"(1)":[63],"constructs":[64],"habitual":[66,113],"behavior":[67,83,120],"profile":[68,84],"by":[69,85,174],"identifying":[70],"repeated":[71],"patterns":[72],"over":[73],"time":[74],"to":[75,117],"automatic":[77],"responses;":[78],"(2)":[79],"builds":[80],"an":[81],"intentional":[82,115],"inferring":[86],"attitudes,":[88],"subjective":[89],"norms":[90],"perceived":[92],"behavioral":[93,106,193],"control":[94],"based":[95],"Theory":[98],"of":[99,182],"Planned":[100],"Behavior":[101],"(TPB);":[102],"(3)":[104],"generates":[105],"rationale":[107],"reveal":[109],"interaction":[111],"between":[112],"processes":[116],"predict":[118],"context-specific":[122],"situations.":[123],"We":[124],"evaluate":[125],"five":[128],"personalization":[129,197],"tasks":[130,156],"LaMP":[133],"benchmark":[134],"using":[135],"multiple":[136],"open-source":[137],"LLMs.":[138],"Results":[139],"show":[140],"consistently":[143],"outperforms":[144],"in-context":[146],"learning":[147],"methods,":[148],"especially":[150],"pronounced":[151],"gains":[152],"complex":[154],"generative":[155],"such":[157],"as":[158],"headline":[159],"title":[161],"generation.":[162],"Qualitative":[163],"analyses":[164],"further":[165],"demonstrate":[166],"profiles":[169],"reasoning":[171],"paths":[172],"generated":[173],"provide":[176,187],"interpretable":[177],"psychologically":[179],"grounded":[180],"explanations":[181],"These":[185],"findings":[186],"strong":[188],"evidence":[189],"incorporating":[191],"validated":[192],"theories":[194],"enhances":[198],"both":[199],"predictive":[200],"performance":[201],"interpretability,":[203],"paving":[204],"way":[206],"theory-driven,":[208],"socio-cognitively":[209],"informed":[210]},"counts_by_year":[],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2026-03-18T00:00:00"}