{"id":"https://openalex.org/W4401218824","doi":"https://doi.org/10.1145/3685053","title":"\u201cI Want It That Way\u201d: Enabling Interactive Decision Support Using Large Language Models and Constraint Programming","display_name":"\u201cI Want It That Way\u201d: Enabling Interactive Decision Support Using Large Language Models and Constraint Programming","publication_year":2024,"publication_date":"2024-08-01","ids":{"openalex":"https://openalex.org/W4401218824","doi":"https://doi.org/10.1145/3685053"},"language":"en","primary_location":{"id":"doi:10.1145/3685053","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3685053","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3685053","source":{"id":"https://openalex.org/S4210173818","display_name":"ACM Transactions on Interactive Intelligent Systems","issn_l":"2160-6455","issn":["2160-6455","2160-6463"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Interactive Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3685053","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030476863","display_name":"Connor Lawless","orcid":"https://orcid.org/0000-0002-2112-2213"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Connor Lawless","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090234310","display_name":"Jakob Schoeffer","orcid":"https://orcid.org/0000-0003-3705-7126"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jakob Schoeffer","raw_affiliation_strings":["University of Texas at Austin, Austin, TX, USA"],"affiliations":[{"raw_affiliation_string":"University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002820125","display_name":"Lindy Le","orcid":"https://orcid.org/0009-0007-6826-8897"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lindy Le","raw_affiliation_strings":["Microsoft, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059434277","display_name":"Kael Rowan","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kael Rowan","raw_affiliation_strings":["Microsoft Research, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069561077","display_name":"Shilad Sen","orcid":"https://orcid.org/0000-0001-7419-1864"},"institutions":[{"id":"https://openalex.org/I5444425","display_name":"Macalester College","ror":"https://ror.org/04fceqm38","country_code":"US","type":"education","lineage":["https://openalex.org/I5444425"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shilad Sen","raw_affiliation_strings":["Macalester College, St. Paul, MN, USA"],"affiliations":[{"raw_affiliation_string":"Macalester College, St. Paul, MN, USA","institution_ids":["https://openalex.org/I5444425"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101279196","display_name":"Cristina St. Hill","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cristina St. Hill","raw_affiliation_strings":["Microsoft, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072651383","display_name":"Jina Suh","orcid":"https://orcid.org/0000-0002-7646-5563"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jina Suh","raw_affiliation_strings":["Microsoft Research, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088501882","display_name":"Bahareh Sarrafzadeh","orcid":"https://orcid.org/0000-0001-8765-870X"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bahareh Sarrafzadeh","raw_affiliation_strings":["Microsoft, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5030476863"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":6.4235,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.97048869,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"14","issue":"3","first_page":"1","last_page":"33"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9847999811172485,"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":0.9847999811172485,"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9818999767303467,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9746000170707703,"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/preference-elicitation","display_name":"Preference elicitation","score":0.7792776823043823},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7346963882446289},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"Decision support system","score":0.6281846761703491},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6042625308036804},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4883982539176941},{"id":"https://openalex.org/keywords/constraint-programming","display_name":"Constraint programming","score":0.45661893486976624},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.4493553638458252},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4229782223701477},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.41584861278533936},{"id":"https://openalex.org/keywords/management-science","display_name":"Management science","score":0.3944843113422394},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3774024248123169},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.37402498722076416},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3487826883792877},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3447975516319275},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14288216829299927}],"concepts":[{"id":"https://openalex.org/C2777868144","wikidata":"https://www.wikidata.org/wiki/Q7239817","display_name":"Preference elicitation","level":3,"score":0.7792776823043823},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7346963882446289},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.6281846761703491},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6042625308036804},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4883982539176941},{"id":"https://openalex.org/C173404611","wikidata":"https://www.wikidata.org/wiki/Q528588","display_name":"Constraint programming","level":3,"score":0.45661893486976624},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.4493553638458252},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4229782223701477},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.41584861278533936},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.3944843113422394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3774024248123169},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.37402498722076416},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3487826883792877},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3447975516319275},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14288216829299927},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C137631369","wikidata":"https://www.wikidata.org/wiki/Q7617831","display_name":"Stochastic programming","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3685053","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3685053","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3685053","source":{"id":"https://openalex.org/S4210173818","display_name":"ACM Transactions on Interactive Intelligent Systems","issn_l":"2160-6455","issn":["2160-6455","2160-6463"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Interactive Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3685053","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3685053","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3685053","source":{"id":"https://openalex.org/S4210173818","display_name":"ACM Transactions on Interactive Intelligent Systems","issn_l":"2160-6455","issn":["2160-6455","2160-6463"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Interactive Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4401218824.pdf"},"referenced_works_count":79,"referenced_works":["https://openalex.org/W534311","https://openalex.org/W891400952","https://openalex.org/W1504050261","https://openalex.org/W1553932545","https://openalex.org/W1602136775","https://openalex.org/W1607355011","https://openalex.org/W1733011895","https://openalex.org/W1762430620","https://openalex.org/W1967787184","https://openalex.org/W1967812664","https://openalex.org/W1970663091","https://openalex.org/W1974216635","https://openalex.org/W1976162738","https://openalex.org/W1983748693","https://openalex.org/W1986416215","https://openalex.org/W1988221934","https://openalex.org/W1991376523","https://openalex.org/W1993320088","https://openalex.org/W1999943693","https://openalex.org/W2001208895","https://openalex.org/W2043308566","https://openalex.org/W2050897795","https://openalex.org/W2061166240","https://openalex.org/W2064054920","https://openalex.org/W2100094493","https://openalex.org/W2102962259","https://openalex.org/W2118383892","https://openalex.org/W2136905002","https://openalex.org/W2136925099","https://openalex.org/W2138077241","https://openalex.org/W2138817229","https://openalex.org/W2154372106","https://openalex.org/W2159111852","https://openalex.org/W2167663512","https://openalex.org/W2333548830","https://openalex.org/W2402768771","https://openalex.org/W2602856279","https://openalex.org/W2608014122","https://openalex.org/W2670253439","https://openalex.org/W2742004297","https://openalex.org/W2748457859","https://openalex.org/W2769533150","https://openalex.org/W2891503716","https://openalex.org/W2912794432","https://openalex.org/W2963095307","https://openalex.org/W2981731882","https://openalex.org/W3014901735","https://openalex.org/W3019378960","https://openalex.org/W3019803904","https://openalex.org/W3023551534","https://openalex.org/W3040472729","https://openalex.org/W3122864793","https://openalex.org/W3124495841","https://openalex.org/W3124555302","https://openalex.org/W3131457744","https://openalex.org/W3206725603","https://openalex.org/W4205420544","https://openalex.org/W4206415412","https://openalex.org/W4230507407","https://openalex.org/W4230990573","https://openalex.org/W4237744076","https://openalex.org/W4243342770","https://openalex.org/W4283172211","https://openalex.org/W4292420109","https://openalex.org/W4297823417","https://openalex.org/W4310419543","https://openalex.org/W4315817451","https://openalex.org/W4320165837","https://openalex.org/W4321177655","https://openalex.org/W4360991389","https://openalex.org/W4366458111","https://openalex.org/W4381185699","https://openalex.org/W4385565383","https://openalex.org/W4385571421","https://openalex.org/W4385572804","https://openalex.org/W4396527906","https://openalex.org/W6713124209","https://openalex.org/W6819746386","https://openalex.org/W6849898756"],"related_works":["https://openalex.org/W2159111852","https://openalex.org/W271352469","https://openalex.org/W64851098","https://openalex.org/W2073850970","https://openalex.org/W2050663403","https://openalex.org/W4291309325","https://openalex.org/W2950474130","https://openalex.org/W1979280215","https://openalex.org/W2737452945","https://openalex.org/W4313469555"],"abstract_inverted_index":{"A":[0],"critical":[1],"factor":[2],"in":[3,39],"the":[4,12,29,33,68,90,106,127],"success":[5],"of":[6,15,36,70,81,105],"many":[7],"decision":[8,60],"support":[9,148],"systems":[10,146],"is":[11],"accurate":[13],"modeling":[14],"user":[16,111],"preferences.":[17],"Psychology":[18],"research":[19],"has":[20],"demonstrated":[21],"that":[22,120,147],"users":[23],"often":[24],"develop":[25],"their":[26],"preferences":[27],"during":[28],"elicitation":[30],"process,":[31],"highlighting":[32],"pivotal":[34],"role":[35],"system-user":[37],"interaction":[38],"developing":[40],"personalized":[41],"systems.":[42],"This":[43],"paper":[44],"introduces":[45],"a":[46,73,79,94,102,110,117,130],"novel":[47,91],"approach,":[48],"combining":[49],"Large":[50],"Language":[51],"Models":[52],"(LLMs)":[53],"with":[54,116],"Constraint":[55],"Programming":[56],"to":[57,88,97,113],"facilitate":[58],"interactive":[59],"support.":[61],"We":[62,84],"study":[63,96,112],"this":[64],"hybrid":[65,131],"framework":[66],"through":[67],"lens":[69],"meeting":[71],"scheduling,":[72],"time-consuming":[74],"daily":[75],"activity":[76],"faced":[77],"by":[78],"multitude":[80],"information":[82],"workers.":[83],"conduct":[85],"three":[86],"studies":[87],"evaluate":[89],"framework,":[92],"including":[93],"diary":[95],"characterize":[98],"contextual":[99],"scheduling":[100],"preferences,":[101],"quantitative":[103],"evaluation":[104],"system\u2019s":[107],"performance,":[108],"and":[109,133,140],"elicit":[114],"insights":[115],"technology":[118],"probe":[119],"encapsulates":[121],"our":[122],"framework.":[123],"Our":[124],"work":[125],"highlights":[126],"potential":[128],"for":[129,136,144],"LLM":[132],"optimization":[134],"approach":[135],"iterative":[137],"preference":[138],"elicitation,":[139],"suggests":[141],"design":[142],"considerations":[143],"building":[145],"human-system":[149],"collaborative":[150],"decision-making":[151],"processes.":[152]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":13}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}
