{"id":"https://openalex.org/W7154999895","doi":"https://doi.org/10.48550/arxiv.2604.15823","title":"Watching Movies Like a Human: Egocentric Emotion Understanding for Embodied Companions","display_name":"Watching Movies Like a Human: Egocentric Emotion Understanding for Embodied Companions","publication_year":2026,"publication_date":"2026-04-17","ids":{"openalex":"https://openalex.org/W7154999895","doi":"https://doi.org/10.48550/arxiv.2604.15823"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.15823","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.15823","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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.15823","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021449578","display_name":"Ze Dong","orcid":"https://orcid.org/0000-0002-8526-3189"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dong, Ze","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134095032","display_name":"Hao Shi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shi, Hao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134032896","display_name":"Zejia Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao, Zejia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110997159","display_name":"Zhonghua Yi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi, Zhonghua","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134084806","display_name":"Kaiwei Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Kaiwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134053655","display_name":"Lin Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Lin","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/T10667","display_name":"Emotion and Mood Recognition","score":0.6103000044822693,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.6103000044822693,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.1445000022649765,"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/T10709","display_name":"Social Robot Interaction and HRI","score":0.1257999986410141,"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/embodied-cognition","display_name":"Embodied cognition","score":0.7116000056266785},{"id":"https://openalex.org/keywords/narrative","display_name":"Narrative","score":0.6894999742507935},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5202000141143799},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4959000051021576},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4156999886035919},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.3720000088214874}],"concepts":[{"id":"https://openalex.org/C100609095","wikidata":"https://www.wikidata.org/wiki/Q1335050","display_name":"Embodied cognition","level":2,"score":0.7116000056266785},{"id":"https://openalex.org/C199033989","wikidata":"https://www.wikidata.org/wiki/Q1318295","display_name":"Narrative","level":2,"score":0.6894999742507935},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5461000204086304},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5202000141143799},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4959000051021576},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4262000024318695},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.41600000858306885},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4156999886035919},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4074000120162964},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.3720000088214874},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.36959999799728394},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.36309999227523804},{"id":"https://openalex.org/C2778949103","wikidata":"https://www.wikidata.org/wiki/Q600717","display_name":"Staring","level":2,"score":0.3183000087738037},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.2964000105857849},{"id":"https://openalex.org/C2780922921","wikidata":"https://www.wikidata.org/wiki/Q255189","display_name":"Paraphrase","level":2,"score":0.28859999775886536},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.2621999979019165},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.259799987077713},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.2590000033378601}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.15823","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.15823","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.15823","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.15823","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":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Embodied":[0],"robotic":[1],"agents":[2],"often":[3],"perceive":[4],"movies":[5],"through":[6],"an":[7],"egocentric":[8,64,77,142],"screen-view":[9,65,78,143],"interface":[10],"rather":[11],"than":[12],"native":[13],"cinematic":[14,42,130],"footage,":[15,43],"introducing":[16],"domain":[17,125],"shifts":[18],"such":[19],"as":[20],"viewpoint":[21],"distortion,":[22],"scale":[23],"variation,":[24],"illumination":[25],"changes,":[26],"and":[27,117,172],"environmental":[28],"interference.":[29],"However,":[30],"existing":[31],"research":[32],"on":[33,41,129,140,146],"movie":[34,66,72],"emotion":[35,67,104],"understanding":[36],"is":[37],"almost":[38],"exclusively":[39],"conducted":[40],"limiting":[44],"cross-domain":[45],"generalization":[46],"to":[47,94,135],"real-world":[48],"viewing":[49,153],"scenarios.":[50],"To":[51],"bridge":[52],"this":[53],"gap,":[54],"we":[55],"introduce":[56],"EgoScreen-Emotion":[57],"(ESE),":[58],"the":[59,167],"first":[60],"benchmark":[61],"dataset":[62],"for":[63],"understanding.":[68],"ESE":[69,147],"contains":[70],"224":[71],"trailers":[73],"captured":[74],"under":[75,151],"controlled":[76],"conditions,":[79],"producing":[80],"28,667":[81],"temporally":[82],"aligned":[83],"key-frames":[84],"annotated":[85],"by":[86],"multiple":[87],"raters":[88],"with":[89,161],"a":[90,101,123],"confidence-aware":[91],"multi-label":[92],"protocol":[93],"address":[95],"emotional":[96],"ambiguity.":[97],"We":[98],"further":[99],"build":[100],"multimodal":[102,164,174],"long-context":[103,173],"reasoning":[105],"framework":[106],"that":[107],"models":[108,127],"temporal":[109],"visual":[110],"evidence,":[111],"narrative":[112],"summaries,":[113],"compressed":[114],"historical":[115],"context,":[116],"audio":[118],"cues.":[119],"Cross-domain":[120],"experiments":[121],"reveal":[122],"severe":[124],"gap:":[126],"trained":[128],"footage":[131],"drop":[132],"from":[133],"27.99":[134],"16.69":[136],"Macro-F1":[137],"when":[138],"evaluated":[139],"realistic":[141,152],"observations.":[144],"Training":[145],"substantially":[148],"improves":[149],"robustness":[150],"conditions.":[154],"Our":[155],"approach":[156],"achieves":[157],"competitive":[158],"performance":[159],"compared":[160],"strong":[162],"closed-source":[163],"models,":[165],"highlighting":[166],"importance":[168],"of":[169],"domain-specific":[170],"data":[171],"reasoning.":[175]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-21T00:00:00"}
