{"id":"https://openalex.org/W7133313052","doi":"https://doi.org/10.48550/arxiv.2603.00490","title":"LifeEval: A Multimodal Benchmark for Assistive AI in Egocentric Daily Life Tasks","display_name":"LifeEval: A Multimodal Benchmark for Assistive AI in Egocentric Daily Life Tasks","publication_year":2026,"publication_date":"2026-02-28","ids":{"openalex":"https://openalex.org/W7133313052","doi":"https://doi.org/10.48550/arxiv.2603.00490"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.00490","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.00490","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.00490","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101390780","display_name":"Hengjian Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Gao, Hengjian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127895732","display_name":"Kaiwei Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Kaiwei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127880463","display_name":"Shibo Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Shibo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Chen, Mingjie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Mingjie","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125112881","display_name":"Qihang Cao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cao, Qihang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123045175","display_name":"Xianfeng Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Xianfeng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034718093","display_name":"Yucheng Zhu","orcid":"https://orcid.org/0000-0002-3069-060X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Yucheng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127988392","display_name":"Xiongkuo Min","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Min, Xiongkuo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127874608","display_name":"Wei Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Wei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128014476","display_name":"Dandan Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Dandan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5127876518","display_name":"Guangtao Zhai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhai, Guangtao","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":11,"corresponding_author_ids":["https://openalex.org/A5101390780"],"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.864799976348877,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.864799976348877,"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/T10028","display_name":"Topic Modeling","score":0.036400001496076584,"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/T10709","display_name":"Social Robot Interaction and HRI","score":0.013799999840557575,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.8201000094413757},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5874000191688538},{"id":"https://openalex.org/keywords/multimodality","display_name":"Multimodality","score":0.5019999742507935},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4950000047683716},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.49390000104904175},{"id":"https://openalex.org/keywords/multimodal-interaction","display_name":"Multimodal interaction","score":0.3984000086784363},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.3901999890804291}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8201000094413757},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7462999820709229},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5985999703407288},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5874000191688538},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5410000085830688},{"id":"https://openalex.org/C2780910867","wikidata":"https://www.wikidata.org/wiki/Q1952416","display_name":"Multimodality","level":2,"score":0.5019999742507935},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4950000047683716},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.49390000104904175},{"id":"https://openalex.org/C135641252","wikidata":"https://www.wikidata.org/wiki/Q738567","display_name":"Multimodal interaction","level":2,"score":0.3984000086784363},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.3901999890804291},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.3785000145435333},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.3379000127315521},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3269999921321869},{"id":"https://openalex.org/C79544238","wikidata":"https://www.wikidata.org/wiki/Q423243","display_name":"Activities of daily living","level":2,"score":0.28940001130104065},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.28870001435279846},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2759000062942505},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.2676999866962433}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.00490","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.00490","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.00490","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.00490","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"article"},"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":{"The":[0],"rapid":[1],"progress":[2],"of":[3,60,130],"Multimodal":[4],"Large":[5],"Language":[6],"Models":[7],"(MLLMs)":[8],"marks":[9],"a":[10,71,112],"significant":[11],"step":[12],"toward":[13],"artificial":[14],"general":[15],"intelligence,":[16],"offering":[17],"great":[18],"potential":[19],"for":[20,149],"augmenting":[21],"human":[22],"capabilities.":[23],"However,":[24],"their":[25],"ability":[26],"to":[27,53,75],"provide":[28],"effective":[29,142],"assistance":[30],"in":[31,81,139],"dynamic,":[32],"real-world":[33],"environments":[34],"remains":[35],"largely":[36],"underexplored.":[37],"Existing":[38],"video":[39],"benchmarks":[40],"predominantly":[41],"assess":[42],"passive":[43],"understanding":[44],"through":[45,107],"retrospective":[46],"analysis":[47],"or":[48],"isolated":[49],"perception":[50,98],"tasks,":[51],"failing":[52],"capture":[54],"the":[55,116],"interactive":[56,152],"and":[57,103,143],"adaptive":[58,144],"nature":[59],"real-time":[61,97],"user":[62],"assistance.":[63],"To":[64],"bridge":[65],"this":[66],"gap,":[67],"we":[68],"introduce":[69],"LifeEval,":[70],"multimodal":[72],"benchmark":[73,117],"designed":[74],"evaluate":[76],"real-time,":[77],"task-oriented":[78,93],"human-AI":[79],"collaboration":[80],"daily":[82],"life":[83],"from":[84,99],"an":[85],"egocentric":[86,96],"perspective.":[87],"LifeEval":[88,135],"emphasizes":[89],"three":[90],"key":[91],"aspects:":[92],"holistic":[94],"evaluation,":[95],"continuous":[100],"first-person":[101],"streams,":[102],"human-assistant":[104],"collaborative":[105],"interaction":[106],"natural":[108],"dialogues.":[109],"Constructed":[110],"via":[111],"rigorous":[113],"annotation":[114],"pipeline,":[115],"comprises":[118],"4,075":[119],"high-quality":[120],"question-answer":[121],"pairs":[122],"across":[123],"6":[124],"core":[125],"capability":[126],"dimensions.":[127],"Extensive":[128],"evaluations":[129],"26":[131],"state-of-the-art":[132],"MLLMs":[133],"on":[134],"reveal":[136],"substantial":[137],"challenges":[138],"achieving":[140],"timely,":[141],"interaction,":[145],"highlighting":[146],"essential":[147],"directions":[148],"advancing":[150],"human-centered":[151],"intelligence.":[153]},"counts_by_year":[],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2026-03-04T00:00:00"}