{"id":"https://openalex.org/W4417025501","doi":"https://doi.org/10.1145/3756884.3770550","title":"VR Eye Tracking Data for Gender Identification: A Look at Same-Domain and Cross-Domain Scenarios","display_name":"VR Eye Tracking Data for Gender Identification: A Look at Same-Domain and Cross-Domain Scenarios","publication_year":2025,"publication_date":"2025-11-12","ids":{"openalex":"https://openalex.org/W4417025501","doi":"https://doi.org/10.1145/3756884.3770550"},"language":"en","primary_location":{"id":"doi:10.1145/3756884.3770550","doi":"https://doi.org/10.1145/3756884.3770550","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3756884.3770550","pdf_url":null,"source":{"id":"https://openalex.org/S7407088363","display_name":"ACM Symposium on Virtual Reality Software and Technology (VRST)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 31st ACM Symposium on Virtual Reality Software and Technology","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085977034","display_name":"Sarker Monojit Asish","orcid":"https://orcid.org/0000-0002-9710-6535","observed_orcids":["https://orcid.org/0000-0002-9710-6535"]},"institutions":[{"id":"https://openalex.org/I32480017","display_name":"Florida Polytechnic University","ror":"https://ror.org/01e5mdj42","country_code":"US","type":"education","lineage":["https://openalex.org/I32480017"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sarker Monojit Asish","raw_affiliation_strings":["Computer Science, Florida Polytechnic University, Lakeland, Florida, USA"],"raw_orcid":"https://orcid.org/0000-0002-9710-6535","affiliations":[{"raw_affiliation_string":"Computer Science, Florida Polytechnic University, Lakeland, Florida, USA","institution_ids":["https://openalex.org/I32480017"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000003856","display_name":"Arijet Sarker","orcid":"https://orcid.org/0000-0002-7911-6625","observed_orcids":["https://orcid.org/0000-0002-7911-6625"]},"institutions":[{"id":"https://openalex.org/I32480017","display_name":"Florida Polytechnic University","ror":"https://ror.org/01e5mdj42","country_code":"US","type":"education","lineage":["https://openalex.org/I32480017"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arijet Sarker","raw_affiliation_strings":["Computer Science, Florida Polytechnic University, Lakeland, Florida, USA"],"raw_orcid":"https://orcid.org/0000-0002-7911-6625","affiliations":[{"raw_affiliation_string":"Computer Science, Florida Polytechnic University, Lakeland, Florida, USA","institution_ids":["https://openalex.org/I32480017"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I32480017"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9556000232696533,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9556000232696533,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11800","display_name":"User Authentication and Security Systems","score":0.0071000000461936,"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/T10648","display_name":"Virtual Reality Applications and Impacts","score":0.005799999926239252,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/gender-identification","display_name":"gender identification","score":0.949999988079071},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"eye tracking","score":0.7950000166893005},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"virtual reality","score":0.9919999837875366},{"id":"https://openalex.org/keywords/domain-generalization","display_name":"domain generalization","score":0.8190000057220459},{"id":"https://openalex.org/keywords/head-position","display_name":"head position","score":0.890999972820282},{"id":"https://openalex.org/keywords/gaze-features","display_name":"gaze features","score":0.6460000276565552},{"id":"https://openalex.org/keywords/model-generalization","display_name":"model generalization","score":0.6840000152587891}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7056000232696533},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.667900025844574},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6452000141143799},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.6193000078201294},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5552999973297119},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5529999732971191},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5382999777793884},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5073000192642212},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4336000084877014},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.41519999504089355},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.41449999809265137},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4068000018596649},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4004000127315521},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.38350000977516174},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3594000041484833},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.325300008058548},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.31220000982284546},{"id":"https://openalex.org/C78780964","wikidata":"https://www.wikidata.org/wiki/Q7233193","display_name":"Position paper","level":2,"score":0.30799999833106995},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3043999969959259},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.28679999709129333},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.27079999446868896},{"id":"https://openalex.org/C60478076","wikidata":"https://www.wikidata.org/wiki/Q3036835","display_name":"Reference data","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3756884.3770550","doi":"https://doi.org/10.1145/3756884.3770550","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3756884.3770550","pdf_url":null,"source":{"id":"https://openalex.org/S7407088363","display_name":"ACM Symposium on Virtual Reality Software and Technology (VRST)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 31st ACM Symposium on Virtual Reality Software and Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6025999784469604,"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality"},{"score":0.4074000120162964,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W4320002781","https://openalex.org/W4402401835","https://openalex.org/W4406266387"],"related_works":["https://openalex.org/W4406266387","https://openalex.org/W4399126647","https://openalex.org/W4389296811","https://openalex.org/W7126331319","https://openalex.org/W4308346809","https://openalex.org/W4412392308","https://openalex.org/W4414121712","https://openalex.org/W7119129564","https://openalex.org/W4312036148","https://openalex.org/W1523284373"],"abstract_inverted_index":{"Prior":[0],"research":[1],"has":[2],"shown":[3],"that":[4,58,78],"cross-domain":[5,59],"gender":[6],"identification":[7],"(GI)":[8],"in":[9,91,98],"VR":[10,34],"is":[11,61],"challenging,":[12],"often":[13],"due":[14],"to":[15],"limited":[16],"overlapping":[17],"features":[18],"and":[19,39,48,67],"a":[20,40,44,72],"lack":[21],"of":[22,88,95],"shared":[23],"users":[24,81],"across":[25],"datasets.":[26],"In":[27],"this":[28],"work,":[29],"we":[30,76],"examine":[31],"two":[32],"distinct":[33],"environments\u2014a":[35],"solar":[36],"panel":[37],"task":[38],"biological":[41],"exploration":[42],"task\u2014using":[43],"consistent":[45],"feature":[46],"set":[47],"eye-tracking":[49],"(ET)":[50],"data":[51],"from":[52],"common":[53,80],"users.":[54],"Our":[55],"results":[56],"confirm":[57],"classification":[60],"substantially":[62],"harder":[63],"than":[64],"domain-specific":[65],"tasks":[66],"highlight":[68],"head":[69],"position":[70],"as":[71],"key":[73],"feature.":[74],"Importantly,":[75],"show":[77],"incorporating":[79],"improves":[82],"model":[83],"performance,":[84],"emphasizing":[85],"the":[86,93],"role":[87],"user":[89],"overlap":[90],"enhancing":[92],"generalizability":[94],"GI":[96],"models":[97],"VR.":[99]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2025-12-05T00:00:00"}
