{"id":"https://openalex.org/W7106481223","doi":"https://doi.org/10.1609/aaaiss.v7i1.36886","title":"Enhancing Trustworthiness in VAD with Rule-Based VLM-LLM Explanations","display_name":"Enhancing Trustworthiness in VAD with Rule-Based VLM-LLM Explanations","publication_year":2025,"publication_date":"2025-11-23","ids":{"openalex":"https://openalex.org/W7106481223","doi":"https://doi.org/10.1609/aaaiss.v7i1.36886"},"language":"en","primary_location":{"id":"doi:10.1609/aaaiss.v7i1.36886","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaaiss.v7i1.36886","pdf_url":"https://ojs.aaai.org/index.php/AAAI-SS/article/download/36886/39024","source":{"id":"https://openalex.org/S4389157828","display_name":"Proceedings of the AAAI Symposium Series","issn_l":"2994-4317","issn":["2994-4317"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Symposium Series","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI-SS/article/download/36886/39024","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Mohamed Ibn Khedher","orcid":null},"institutions":[{"id":"https://openalex.org/I3018083178","display_name":"Institut de Recherche Technologique SystemX","ror":"https://ror.org/03crmsn52","country_code":"FR","type":"facility","lineage":["https://openalex.org/I3018083178"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mohamed Ibn Khedher","raw_affiliation_strings":["IRT SystemX, 2 Boulevard Thomas Gobert 91120 PALAISEAU,\nFrance"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IRT SystemX, 2 Boulevard Thomas Gobert 91120 PALAISEAU,\nFrance","institution_ids":["https://openalex.org/I3018083178"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Faouzi Adjed","orcid":null},"institutions":[{"id":"https://openalex.org/I3018083178","display_name":"Institut de Recherche Technologique SystemX","ror":"https://ror.org/03crmsn52","country_code":"FR","type":"facility","lineage":["https://openalex.org/I3018083178"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Faouzi Adjed","raw_affiliation_strings":["IRT SystemX, 2 Boulevard Thomas Gobert 91120 PALAISEAU,\nFrance"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IRT SystemX, 2 Boulevard Thomas Gobert 91120 PALAISEAU,\nFrance","institution_ids":["https://openalex.org/I3018083178"]}]},{"author_position":"last","author":{"id":null,"display_name":"Joseph Kattan","orcid":null},"institutions":[{"id":"https://openalex.org/I3018083178","display_name":"Institut de Recherche Technologique SystemX","ror":"https://ror.org/03crmsn52","country_code":"FR","type":"facility","lineage":["https://openalex.org/I3018083178"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Joseph Kattan","raw_affiliation_strings":["IRT SystemX, 2 Boulevard Thomas Gobert 91120 PALAISEAU,\nFrance"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IRT SystemX, 2 Boulevard Thomas Gobert 91120 PALAISEAU,\nFrance","institution_ids":["https://openalex.org/I3018083178"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3018083178"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.55936611,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":"1","first_page":"190","last_page":"197"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.8971999883651733,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.8971999883651733,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.029100000858306885,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.013199999928474426,"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/event","display_name":"Event (particle physics)","score":0.6158999800682068},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6151000261306763},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6111999750137329},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6093999743461609},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5698000192642212},{"id":"https://openalex.org/keywords/trustworthiness","display_name":"Trustworthiness","score":0.5622000098228455},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5117999911308289},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4203000068664551}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7642999887466431},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6158999800682068},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6151000261306763},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6111999750137329},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6093999743461609},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5698000192642212},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.5622000098228455},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5117999911308289},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4657999873161316},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4203000068664551},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.3792000114917755},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3675000071525574},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.35010001063346863},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3319999873638153},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32409998774528503},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.32170000672340393},{"id":"https://openalex.org/C2776544517","wikidata":"https://www.wikidata.org/wiki/Q189447","display_name":"Unexpected events","level":2,"score":0.32019999623298645},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.3190999925136566},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3122999966144562},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.30309998989105225},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.30059999227523804},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.29750001430511475},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.258899986743927},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.2542000114917755}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaaiss.v7i1.36886","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaaiss.v7i1.36886","pdf_url":"https://ojs.aaai.org/index.php/AAAI-SS/article/download/36886/39024","source":{"id":"https://openalex.org/S4389157828","display_name":"Proceedings of the AAAI Symposium Series","issn_l":"2994-4317","issn":["2994-4317"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Symposium Series","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-05389245v1","is_oa":false,"landing_page_url":"https://hal.science/hal-05389245","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"workshop AI Trustworthiness and Risk Assessment for Challenged Contexts (ATRACC), AAAI Fall Symposium, Nov 2025, Arlington, United States","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.1609/aaaiss.v7i1.36886","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaaiss.v7i1.36886","pdf_url":"https://ojs.aaai.org/index.php/AAAI-SS/article/download/36886/39024","source":{"id":"https://openalex.org/S4389157828","display_name":"Proceedings of the AAAI Symposium Series","issn_l":"2994-4317","issn":["2994-4317"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Symposium Series","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7106481223.pdf","grobid_xml":"https://content.openalex.org/works/W7106481223.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Video":[0],"Anomaly":[1],"Detection":[2],"is":[3,49],"a":[4,63,106,123,138,143,151,157],"critical":[5],"task":[6],"for":[7,195],"identifying":[8],"unusual":[9],"events":[10],"in":[11,75,161],"video":[12,73],"streams,":[13],"with":[14],"applications":[15],"ranging":[16],"from":[17],"public":[18],"safety":[19],"surveillance":[20],"to":[21,44,68,126,149],"industrial":[22],"monitoring.":[23],"Traditional":[24],"VAD":[25,216],"methods,":[26],"often":[27,82],"based":[28],"on":[29,85,90,172],"reconstruction":[30],"or":[31,89],"prediction":[32],"errors,":[33],"excel":[34],"at":[35],"detecting":[36],"deviations":[37],"but":[38,94],"typically":[39],"lack":[40],"semantic":[41],"understanding,":[42],"failing":[43],"explain":[45],"why":[46],"an":[47,179],"event":[48],"anomalous.":[50],"The":[51],"recent":[52],"advent":[53],"of":[54,114,146,181,192,202],"Vision-Language":[55],"Models":[56,60],"and":[57,70,116,155,177,189,206,214],"Large":[58],"Language":[59],"has":[61],"introduced":[62],"new":[64],"paradigm,":[65],"enabling":[66],"systems":[67],"interpret":[69],"reason":[71],"about":[72],"content":[74],"natural":[76],"language.":[77],"However,":[78],"existing":[79],"VLM/LLM-based":[80],"approaches":[81],"focus":[83],"either":[84],"rich,":[86],"open-ended":[87],"description":[88],"structured,":[91],"rule-based":[92],"reasoning,":[93],"rarely":[95],"both.":[96],"In":[97],"this":[98,102],"paper,":[99],"we":[100],"address":[101],"gap":[103],"by":[104],"proposing":[105],"novel":[107],"hybrid":[108],"framework":[109],"that":[110,165],"synergizes":[111],"the":[112,162,173,185,190,200,203],"strengths":[113],"descriptive":[115],"deductive":[117],"models.":[118],"Our":[119,197],"approach":[120,171],"first":[121],"leverages":[122],"powerful":[124],"VLM":[125],"generate":[127],"detailed,":[128],"contextual":[129,147],"scene":[130],"descriptions.":[131],"These":[132],"descriptions":[133],"are":[134],"then":[135],"fed":[136],"into":[137,209],"rule-driven":[139],"LLM,":[140],"which":[141],"uses":[142],"pre-induced":[144],"set":[145],"rules":[148],"make":[150],"final":[152],"anomaly":[153],"judgment":[154],"provide":[156],"human-readable":[158],"explanation":[159],"grounded":[160],"specific":[163],"rule":[164],"was":[166],"violated.":[167],"We":[168],"validate":[169],"our":[170],"large-scale":[174],"UCF-Crime":[175],"dataset":[176],"conduct":[178],"analysis":[180],"key":[182],"hyperparameters,":[183],"including":[184],"VLM's":[186],"input":[187],"prompt":[188],"number":[191],"frames":[193],"used":[194],"description.":[196],"results":[198],"demonstrate":[199],"effectiveness":[201],"proposed":[204],"architecture":[205],"offer":[207],"insights":[208],"building":[210],"more":[211],"interpretable,":[212],"reliable,":[213],"context-aware":[215],"systems.":[217]},"counts_by_year":[],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-11-23T00:00:00"}
