{"id":"https://openalex.org/W7162671851","doi":"https://doi.org/10.1145/3806025","title":"Polarization-Based Eye Tracking with Personalized Siamese Architecture ETRA011","display_name":"Polarization-Based Eye Tracking with Personalized Siamese Architecture ETRA011","publication_year":2026,"publication_date":"2026-05-28","ids":{"openalex":"https://openalex.org/W7162671851","doi":"https://doi.org/10.1145/3806025"},"language":"en","primary_location":{"id":"doi:10.1145/3806025","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3806025","pdf_url":null,"source":{"id":"https://openalex.org/S4210183893","display_name":"Proceedings of the ACM on Human-Computer Interaction","issn_l":"2573-0142","issn":["2573-0142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Human-Computer Interaction","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3806025","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022216750","display_name":"Mantas \u017durauskas","orcid":"https://orcid.org/0000-0002-8118-9188"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mantas Zurauskas","raw_affiliation_strings":["Meta","Reality Labs"],"raw_orcid":"https://orcid.org/0000-0002-8118-9188","affiliations":[{"raw_affiliation_string":"Meta","institution_ids":[]},{"raw_affiliation_string":"Reality Labs","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102790333","display_name":"Alexander Fix","orcid":"https://orcid.org/0009-0002-6163-2354"},"institutions":[{"id":"https://openalex.org/I4210128585","display_name":"META Health","ror":"https://ror.org/035h67p10","country_code":"US","type":"other","lineage":["https://openalex.org/I4210128585"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexander Fix","raw_affiliation_strings":["Meta Reality Labs Research"],"raw_orcid":"https://orcid.org/0009-0002-6163-2354","affiliations":[{"raw_affiliation_string":"Meta Reality Labs Research","institution_ids":["https://openalex.org/I4210128585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137241976","display_name":"Beyza Kalkanli","orcid":"https://orcid.org/0000-0002-5382-6661"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Beyza Kalkanli","raw_affiliation_strings":["Meta","Reality Labs"],"raw_orcid":"https://orcid.org/0000-0002-5382-6661","affiliations":[{"raw_affiliation_string":"Meta","institution_ids":[]},{"raw_affiliation_string":"Reality Labs","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112322498","display_name":"Dmitri Model","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dmitri Model","raw_affiliation_strings":["Meta","Reality Labs"],"raw_orcid":"https://orcid.org/0009-0004-8821-1941","affiliations":[{"raw_affiliation_string":"Meta","institution_ids":[]},{"raw_affiliation_string":"Reality Labs","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000418552","display_name":"Tom Bu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tom Bu","raw_affiliation_strings":["Meta","Reality Labs"],"raw_orcid":"https://orcid.org/0009-0000-0050-6587","affiliations":[{"raw_affiliation_string":"Meta","institution_ids":[]},{"raw_affiliation_string":"Reality Labs","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080200188","display_name":"Mahsa Shakeri","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mahsa Shakeri","raw_affiliation_strings":["Meta","Reality Labs Research"],"raw_orcid":"https://orcid.org/0009-0001-1328-9777","affiliations":[{"raw_affiliation_string":"Meta","institution_ids":[]},{"raw_affiliation_string":"Reality Labs Research","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5137262087","display_name":"Dave Stronks","orcid":"https://orcid.org/0009-0009-2462-8883"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dave Stronks","raw_affiliation_strings":["Meta","Reality Labs"],"raw_orcid":"https://orcid.org/0009-0009-2462-8883","affiliations":[{"raw_affiliation_string":"Meta","institution_ids":[]},{"raw_affiliation_string":"Reality Labs","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.85158871,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":"3","first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9879000186920166,"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":0.9879000186920166,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.0015999999595806003,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10888","display_name":"Augmented Reality Applications","score":0.0007999999797903001,"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/personalization","display_name":"Personalization","score":0.7994999885559082},{"id":"https://openalex.org/keywords/gaze","display_name":"Gaze","score":0.6729999780654907},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.6567999720573425},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.6154000163078308},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4323999881744385},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.36730000376701355}],"concepts":[{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.7994999885559082},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6818000078201294},{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.6729999780654907},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.6567999720573425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6355999708175659},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.6154000163078308},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6000000238418579},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4323999881744385},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.36730000376701355},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.34389999508857727},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.3246000111103058},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.30790001153945923},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.2921999990940094},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.27140000462532043},{"id":"https://openalex.org/C183356978","wikidata":"https://www.wikidata.org/wiki/Q1779213","display_name":"Tracking error","level":3,"score":0.25699999928474426}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3806025","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3806025","pdf_url":null,"source":{"id":"https://openalex.org/S4210183893","display_name":"Proceedings of the ACM on Human-Computer Interaction","issn_l":"2573-0142","issn":["2573-0142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Human-Computer Interaction","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3806025","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3806025","pdf_url":null,"source":{"id":"https://openalex.org/S4210183893","display_name":"Proceedings of the ACM on Human-Computer Interaction","issn_l":"2573-0142","issn":["2573-0142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Human-Computer Interaction","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W2027879843","https://openalex.org/W2059916030","https://openalex.org/W2083117615","https://openalex.org/W2148322785","https://openalex.org/W2158363907","https://openalex.org/W2167020116","https://openalex.org/W2358573252","https://openalex.org/W2468114283","https://openalex.org/W2470394683","https://openalex.org/W2557669140","https://openalex.org/W2743391672","https://openalex.org/W2795718602","https://openalex.org/W2895535699","https://openalex.org/W2939489045","https://openalex.org/W2965297430","https://openalex.org/W2982717194","https://openalex.org/W2994800813","https://openalex.org/W2998355285","https://openalex.org/W3001625344","https://openalex.org/W3034548728","https://openalex.org/W3096147990","https://openalex.org/W3199250508","https://openalex.org/W4226032711","https://openalex.org/W4292787489","https://openalex.org/W4312303088","https://openalex.org/W4317213439","https://openalex.org/W4387463049","https://openalex.org/W4393013348","https://openalex.org/W4395470955","https://openalex.org/W4411687844"],"related_works":[],"abstract_inverted_index":{"Head-mounted":[0],"devices":[1],"integrated":[2],"with":[3,67,82,107],"eye":[4,57,133],"tracking":[5],"promise":[6],"a":[7,42,63,68,118,128],"solution":[8],"for":[9,19,89],"natural":[10],"human-computer":[11],"interaction.":[12],"However,":[13],"they":[14],"typically":[15],"require":[16],"per-user":[17],"calibration":[18,46,81,109],"optimal":[20],"performance":[21,77],"due":[22],"to":[23,79,97,100,115],"inter-person":[24],"variability.":[25],"A":[26],"differential":[27],"personalization":[28,54,91,106,126],"approach":[29,130],"using":[30],"Siamese":[31,53,90,105,125],"architectures":[32],"learns":[33],"relative":[34],"gaze":[35,40,93],"displacements":[36],"and":[37,71],"reconstructs":[38],"absolute":[39],"from":[41],"small":[43],"set":[44],"of":[45,113],"frames.":[47],"In":[48],"this":[49],"paper,":[50],"we":[51,61],"benchmark":[52],"on":[55],"polarization-enabled":[56],"tracking.":[58,134],"For":[59],"benchmarking,":[60],"use":[62],"338-subject":[64],"dataset":[65],"captured":[66],"polarization-sensitive":[69],"camera":[70],"850":[72],"nm":[73],"illumination.":[74],"We":[75],"achieve":[76],"comparable":[78],"linear":[80,108],"10-fold":[83],"fewer":[84],"samples.":[85],"Using":[86],"polarization":[87],"inputs":[88],"reduces":[92],"error":[94],"by":[95],"up":[96,114],"12%":[98],"compared":[99],"near-infrared":[101],"(NIR)-based":[102],"inputs.":[103],"Combining":[104],"yields":[110],"further":[111],"improvements":[112],"13%":[116],"over":[117],"linearly":[119],"calibrated":[120],"baseline.":[121],"These":[122],"results":[123],"establish":[124],"as":[127],"practical":[129],"enabling":[131],"accurate":[132]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-29T00:00:00"}
