{"id":"https://openalex.org/W7156271428","doi":"https://doi.org/10.1145/3774904.3792494","title":"Prism: Towards Lowering User Cognitive Load in LLMs via Complex Intent Understanding","display_name":"Prism: Towards Lowering User Cognitive Load in LLMs via Complex Intent Understanding","publication_year":2026,"publication_date":"2026-04-12","ids":{"openalex":"https://openalex.org/W7156271428","doi":"https://doi.org/10.1145/3774904.3792494"},"language":null,"primary_location":{"id":"doi:10.1145/3774904.3792494","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792494","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3774904.3792494","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084081529","display_name":"Zenghua Liao","orcid":"https://orcid.org/0009-0002-3155-2353"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zenghua Liao","raw_affiliation_strings":["National Key Laboratory of Big Data and Decision, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0009-0002-3155-2353","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Big Data and Decision, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052860228","display_name":"Jinzhi Liao","orcid":"https://orcid.org/0000-0002-2898-6559"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinzhi Liao","raw_affiliation_strings":["National Key Laboratory of Big Data and Decision, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-2898-6559","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Big Data and Decision, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014937762","display_name":"Xiang Zhao","orcid":"https://orcid.org/0000-0001-6339-0219"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Zhao","raw_affiliation_strings":["National Key Laboratory of Big Data and Decision, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-6339-0219","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Big Data and Decision, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.41679966,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4734","last_page":"4745"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.4424000084400177,"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/T10028","display_name":"Topic Modeling","score":0.4424000084400177,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.08829999715089798,"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/T13629","display_name":"Text Readability and Simplification","score":0.07530000060796738,"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/cognition","display_name":"Cognition","score":0.5618000030517578},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5406000018119812},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.529699981212616},{"id":"https://openalex.org/keywords/cognitive-load","display_name":"Cognitive load","score":0.5127000212669373},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4681999981403351},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.4325999915599823},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.34940001368522644},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.3199999928474426}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6693000197410583},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.5618000030517578},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5406000018119812},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.529699981212616},{"id":"https://openalex.org/C61641136","wikidata":"https://www.wikidata.org/wiki/Q1107019","display_name":"Cognitive load","level":3,"score":0.5127000212669373},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4681999981403351},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.4325999915599823},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3919999897480011},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.34940001368522644},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.3199999928474426},{"id":"https://openalex.org/C21847791","wikidata":"https://www.wikidata.org/wiki/Q191081","display_name":"Logical conjunction","level":2,"score":0.3190000057220459},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31520000100135803},{"id":"https://openalex.org/C43971567","wikidata":"https://www.wikidata.org/wiki/Q3142865","display_name":"Logical reasoning","level":2,"score":0.31369999051094055},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.2955000102519989},{"id":"https://openalex.org/C67666897","wikidata":"https://www.wikidata.org/wiki/Q165896","display_name":"Prism","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.27459999918937683},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2736000120639801},{"id":"https://openalex.org/C134752490","wikidata":"https://www.wikidata.org/wiki/Q374182","display_name":"Logical consequence","level":2,"score":0.265500009059906},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.26100000739097595},{"id":"https://openalex.org/C161407221","wikidata":"https://www.wikidata.org/wiki/Q4382939","display_name":"Cognitive model","level":3,"score":0.2549000084400177},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2531000077724457}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3774904.3792494","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792494","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3774904.3792494","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792494","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1582147469","https://openalex.org/W2130736456","https://openalex.org/W2399456070","https://openalex.org/W2916904544","https://openalex.org/W2979826702","https://openalex.org/W2997771882","https://openalex.org/W3142744039","https://openalex.org/W4366548330","https://openalex.org/W4382618605","https://openalex.org/W4388555285","https://openalex.org/W4391835913","https://openalex.org/W4391994089","https://openalex.org/W4393970649","https://openalex.org/W4396843637","https://openalex.org/W4402671743","https://openalex.org/W4402671855","https://openalex.org/W4403577811","https://openalex.org/W4404569548","https://openalex.org/W4404792844","https://openalex.org/W4406231568","https://openalex.org/W4410636974","https://openalex.org/W7133211372"],"related_works":[],"abstract_inverted_index":{"Large":[0],"Language":[1],"Models":[2],"are":[3,219],"rapidly":[4],"emerging":[5],"as":[6],"web-native":[7],"interfaces":[8],"to":[9,38,124,150,201],"social":[10,14],"platforms.":[11],"On":[12],"the":[13,53,57,65,135,169],"web,":[15],"users":[16],"frequently":[17],"have":[18],"ambiguous":[19],"and":[20,83,105,145,160,177,189,208,217],"dynamic":[21],"goals,":[22],"making":[23],"complex":[24,76,93],"intent":[25,77,85,94,163,187],"understanding\u2014rather":[26],"than":[27],"single-turn":[28],"execution\u2014the":[29],"cornerstone":[30],"of":[31,51,137],"effective":[32],"human-LLM":[33],"collaboration.":[34],"Existing":[35],"approaches":[36,183],"attempt":[37],"clarify":[39],"user":[40,99,204],"intents":[41,100],"through":[42,174],"sequential":[43],"or":[44],"parallel":[45],"questioning,":[46],"yet":[47],"they":[48],"fall":[49],"short":[50],"addressing":[52],"core":[54],"challenge:":[55],"modeling":[56],"logical":[58,107,112,171,196,199],"dependencies":[59,108,123],"among":[60,109],"clarification":[61,113,118,138,172,185],"questions.":[62],"Inspired":[63],"by":[64,206,213],"Cognitive":[66],"Load":[67],"Theory,":[68],"we":[69],"propose":[70],"Prism,":[71],"a":[72,92,111,161],"novel":[73],"framework":[74],"for":[75,154],"understanding":[78],"that":[79],"enables":[80],"logically":[81],"coherent":[82],"efficient":[84],"clarification.":[86],"Prism":[87,179],"comprises":[88],"four":[89],"tailored":[90],"modules:":[91],"decomposition":[95],"module,":[96,115,132,165],"which":[97,116,133,166],"decomposes":[98],"into":[101],"smaller,":[102],"well-structured":[103],"elements":[104],"identifies":[106],"them;":[110],"generation":[114],"organizes":[117],"questions":[119],"based":[120],"on":[121],"these":[122],"ensure":[125],"coherent,":[126],"low-friction":[127],"interactions;":[128],"an":[129,141],"intent-aware":[130,142],"reward":[131,143],"evaluates":[134],"quality":[136],"trajectories":[139],"via":[140],"function":[144],"leverages":[146],"Monte":[147],"Carlo":[148],"Sample":[149],"simulate":[151],"user-LLM":[152],"interactions":[153],"large-scale,":[155],"high-quality":[156],"training":[157],"data":[158,216],"generation;":[159],"self-evolved":[162],"tuning":[164],"iteratively":[167],"refines":[168],"LLM's":[170],"capability":[173],"data-driven":[175],"feedback":[176],"optimization.":[178],"consistently":[180],"outperforms":[181],"existing":[182],"across":[184],"interactions,":[186],"execution,":[188],"cognitive":[190],"load":[191],"benchmarks.":[192],"It":[193],"achieves":[194],"state-of-the-art":[195],"consistency,":[197],"reduces":[198],"conflicts":[200],"11.5%,":[202],"increases":[203],"satisfaction":[205],"14.4%,":[207],"decreases":[209],"task":[210],"completion":[211],"time":[212],"34.8%.":[214],"All":[215],"code":[218],"released.":[220]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-04-28T00:00:00"}