{"id":"https://openalex.org/W7138912833","doi":"https://doi.org/10.48550/arxiv.2603.16207","title":"Proactive Rejection and Grounded Execution: A Dual-Stage Intent Analysis Paradigm for Safe and Efficient AIoT Smart Homes","display_name":"Proactive Rejection and Grounded Execution: A Dual-Stage Intent Analysis Paradigm for Safe and Efficient AIoT Smart Homes","publication_year":2026,"publication_date":"2026-03-17","ids":{"openalex":"https://openalex.org/W7138912833","doi":"https://doi.org/10.48550/arxiv.2603.16207"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.16207","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.16207","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.16207","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5130035162","display_name":"Xinxin Jin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jin, Xinxin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067493344","display_name":"Zhengwei Ni","orcid":"https://orcid.org/0000-0002-9895-0666"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ni, Zhengwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082900845","display_name":"Zhengguo Sheng","orcid":"https://orcid.org/0000-0003-2143-4003"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sheng, Zhengguo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5130113666","display_name":"Victor C. M. Leung","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Leung, Victor C. M.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.15410000085830688,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.15410000085830688,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.13349999487400055,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.1200999990105629,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dilemma","display_name":"Dilemma","score":0.46230000257492065},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.38940000534057617},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.3831999897956848},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.37059998512268066},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.35280001163482666},{"id":"https://openalex.org/keywords/finite-state-machine","display_name":"Finite-state machine","score":0.352400004863739},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.3474999964237213},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.3467000126838684},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.34119999408721924}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8276000022888184},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4805999994277954},{"id":"https://openalex.org/C2778496695","wikidata":"https://www.wikidata.org/wiki/Q254128","display_name":"Dilemma","level":2,"score":0.46230000257492065},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.38940000534057617},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.3831999897956848},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.37059998512268066},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.35280001163482666},{"id":"https://openalex.org/C167822520","wikidata":"https://www.wikidata.org/wiki/Q176452","display_name":"Finite-state machine","level":2,"score":0.352400004863739},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.3474999964237213},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3467000126838684},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.34119999408721924},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.32280001044273376},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.3206000030040741},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.31459999084472656},{"id":"https://openalex.org/C77714075","wikidata":"https://www.wikidata.org/wiki/Q5452017","display_name":"Firewall (physics)","level":5,"score":0.30730000138282776},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.30640000104904175},{"id":"https://openalex.org/C507571656","wikidata":"https://www.wikidata.org/wiki/Q848436","display_name":"Home automation","level":2,"score":0.3057999908924103},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.3000999987125397},{"id":"https://openalex.org/C110251889","wikidata":"https://www.wikidata.org/wiki/Q1569697","display_name":"Model checking","level":2,"score":0.29109999537467957},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28119999170303345},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.27950000762939453},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.27390000224113464},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.2705000042915344},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.2653999924659729},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.26249998807907104},{"id":"https://openalex.org/C2776544517","wikidata":"https://www.wikidata.org/wiki/Q189447","display_name":"Unexpected events","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.2583000063896179}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.16207","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.16207","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.16207","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.16207","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"As":[0],"Large":[1],"Language":[2],"Models":[3],"(LLMs)":[4],"transition":[5],"from":[6,50,81,208],"information":[7],"providers":[8],"to":[9,34,39,93,172,210,231],"embodied":[10],"agents":[11],"in":[12,129,216],"the":[13,51,104,108,124,132,143,166,176,184,198,228],"Internet":[14],"of":[15,29,107,157,169],"Things":[16],"(IoT),":[17],"they":[18],"face":[19],"significant":[20],"challenges":[21],"regarding":[22],"reliability":[23],"and":[24,59,98,127,145,164],"interaction":[25],"efficiency.":[26],"Direct":[27],"execution":[28,58],"LLM-generated":[30],"commands":[31,101],"often":[32],"leads":[33],"entity":[35],"hallucinations":[36],"(e.g.,":[37,47],"trying":[38],"control":[40],"non-existent":[41],"devices).":[42],"Meanwhile,":[43],"existing":[44],"iterative":[45],"frameworks":[46],"SAGE)":[48],"suffer":[49],"Interaction":[52,185],"Frequency":[53,186],"Dilemma,":[54],"oscillating":[55],"between":[56],"reckless":[57],"excessive":[60],"user":[61,78,206,233],"questioning.":[62],"To":[63],"address":[64],"these":[65],"issues,":[66],"we":[67],"propose":[68],"a":[69,90,114],"Dual-Stage":[70],"Intent-Aware":[71],"(DS-IA)":[72],"Framework.":[73],"This":[74],"framework":[75],"separates":[76],"high-level":[77],"intent":[79],"understanding":[80],"low-level":[82],"physical":[83],"execution.":[84,139],"Specifically,":[85,195],"Stage":[86,110],"1":[87],"serves":[88],"as":[89],"semantic":[91],"firewall":[92],"filter":[94],"out":[95],"invalid":[96,170],"instructions":[97,171],"resolve":[99],"vague":[100],"by":[102,161,188],"checking":[103],"current":[105],"state":[106],"home.":[109],"2":[111],"then":[112],"employs":[113],"deterministic":[115],"cascade":[116],"verifier-a":[117],"strict,":[118],"step-by-step":[119],"rule":[120],"checker":[121],"that":[122,149,181,220],"verifies":[123],"room,":[125],"device,":[126],"capability":[128],"sequence-to":[130],"ensure":[131],"action":[133],"is":[134],"actually":[135],"physically":[136],"possible":[137],"before":[138],"Extensive":[140],"experiments":[141],"on":[142,175],"HomeBench":[144],"SAGE":[146,177],"benchmarks":[147],"demonstrate":[148],"DS-IA":[150,182],"achieves":[151],"an":[152],"Exact":[153],"Match":[154],"(EM)":[155],"rate":[156,168],"58.56%":[158],"(outperforming":[159],"baselines":[160],"over":[162],"28%)":[163],"improves":[165],"rejection":[167],"87.04%.":[173],"Evaluations":[174],"benchmark":[178],"further":[179],"reveal":[180],"resolves":[183],"Dilemma":[187],"balancing":[189],"proactive":[190],"querying":[191],"with":[192],"state-based":[193],"inference.":[194],"it":[196],"boosts":[197],"Autonomous":[199],"Success":[200],"Rate":[201],"(resolving":[202],"tasks":[203],"without":[204],"unnecessary":[205],"intervention)":[207],"42.86%":[209],"71.43%,":[211],"while":[212],"maintaining":[213],"high":[214],"precision":[215],"identifying":[217],"irreducible":[218],"ambiguities":[219],"truly":[221],"necessitate":[222],"human":[223],"clarification.":[224],"These":[225],"results":[226],"underscore":[227],"framework's":[229],"ability":[230],"minimize":[232],"disturbance":[234],"through":[235],"accurate":[236],"environmental":[237],"grounding.":[238]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-03-20T00:00:00"}