{"id":"https://openalex.org/W4411687844","doi":"https://doi.org/10.1109/access.2025.3583623","title":"Enabling Eye Tracking for Crowd-Sourced Data Collection With Project Aria","display_name":"Enabling Eye Tracking for Crowd-Sourced Data Collection With Project Aria","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4411687844","doi":"https://doi.org/10.1109/access.2025.3583623"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3583623","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3583623","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3583623","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5116025433","display_name":"Yusuf Mansour","orcid":null},"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":"Yusuf Mansour","raw_affiliation_strings":["Meta Reality Labs Research, Redmond, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Reality Labs Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I4210128585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038076066","display_name":"Ajoy Savio Fernandes","orcid":"https://orcid.org/0009-0008-4568-5812"},"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":"Ajoy Savio Fernandes","raw_affiliation_strings":["Meta Reality Labs Research, Redmond, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Reality Labs Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I4210128585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104004877","display_name":"Kiran Somasundaram","orcid":"https://orcid.org/0000-0001-8554-9083"},"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":"Kiran Somasundaram","raw_affiliation_strings":["Meta Reality Labs Research, Redmond, WA, USA"],"raw_orcid":"https://orcid.org/0000-0001-8554-9083","affiliations":[{"raw_affiliation_string":"Meta Reality Labs Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I4210128585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062834668","display_name":"Tarek Hefny","orcid":null},"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":"Tarek Hefny","raw_affiliation_strings":["Meta Reality Labs Research, Redmond, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Reality Labs Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I4210128585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080200188","display_name":"Mahsa Shakeri","orcid":null},"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":"Mahsa Shakeri","raw_affiliation_strings":["Meta Reality Labs, Redmond, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Reality Labs, Redmond, WA, USA","institution_ids":["https://openalex.org/I4210128585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035152487","display_name":"Oleg V. Komogortsev","orcid":"https://orcid.org/0000-0001-7890-8842"},"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":"Oleg V. Komogortsev","raw_affiliation_strings":["Meta Reality Labs Research, Redmond, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Reality Labs Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I4210128585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100450086","display_name":"Abhishek Sharma","orcid":"https://orcid.org/0000-0003-4041-9802"},"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":"Abhishek Sharma","raw_affiliation_strings":["Meta Reality Labs Research, Redmond, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Reality Labs Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I4210128585"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035093993","display_name":"Michael J. Proulx","orcid":"https://orcid.org/0000-0003-4066-3645"},"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":"Michael J. Proulx","raw_affiliation_strings":["Meta Reality Labs Research, Redmond, WA, USA"],"raw_orcid":"https://orcid.org/0000-0003-4066-3645","affiliations":[{"raw_affiliation_string":"Meta Reality Labs Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I4210128585"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210128585"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":5.8695,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.96223274,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"13","issue":null,"first_page":"114736","last_page":"114745"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9509999752044678,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9509999752044678,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11675","display_name":"Open Source Software Innovations","score":0.902999997138977,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/computer-science","display_name":"Computer science","score":0.7268685102462769},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.6477805972099304},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.4786697328090668},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.45085588097572327},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3660717010498047},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3496643900871277},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0780055820941925}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7268685102462769},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.6477805972099304},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.4786697328090668},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.45085588097572327},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3660717010498047},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3496643900871277},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0780055820941925},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3583623","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3583623","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1f5b85fcb8034004b86ec9c14e4aed8f","is_oa":true,"landing_page_url":"https://doaj.org/article/1f5b85fcb8034004b86ec9c14e4aed8f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 114736-114745 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3583623","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3583623","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1510226565","https://openalex.org/W2000617596","https://openalex.org/W2022987374","https://openalex.org/W2030215259","https://openalex.org/W2059762946","https://openalex.org/W2067922586","https://openalex.org/W2077324971","https://openalex.org/W2082490348","https://openalex.org/W2086812225","https://openalex.org/W2125666044","https://openalex.org/W2134951983","https://openalex.org/W2136668269","https://openalex.org/W2139883529","https://openalex.org/W2167020116","https://openalex.org/W2342755750","https://openalex.org/W2503885376","https://openalex.org/W2582663318","https://openalex.org/W2591687331","https://openalex.org/W2745029631","https://openalex.org/W2767778764","https://openalex.org/W2798036083","https://openalex.org/W2975792903","https://openalex.org/W2994662721","https://openalex.org/W3033365660","https://openalex.org/W3090644270","https://openalex.org/W3123364653","https://openalex.org/W3179188416","https://openalex.org/W3191734489","https://openalex.org/W3207758636","https://openalex.org/W4313266789","https://openalex.org/W4386269370","https://openalex.org/W4392696410","https://openalex.org/W4399199531","https://openalex.org/W4399202815","https://openalex.org/W4401609423","https://openalex.org/W6767572230","https://openalex.org/W6868902822"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Through":[0],"a":[1,6],"novel,":[2],"multi-sensor":[3],"platform":[4],"in":[5,72,91,108,117],"wearable":[7],"glasses":[8],"form":[9],"factor,":[10],"paired":[11],"with":[12],"crowd-sourced":[13],"data":[14,96],"collection,":[15],"we":[16,77],"have":[17,78],"enabled":[18],"the":[19,35,49,70,85,92],"collection":[20,45,97],"of":[21,23,25,31],"tens":[22],"thousands":[24],"egocentric":[26],"gaze":[27],"recordings":[28],"across":[29,61],"hundreds":[30],"daily":[32],"tasks":[33],"without":[34],"limitations":[36],"posed":[37],"by":[38],"traditional":[39],"eye-tracking":[40,125],"or":[41],"lab":[42],"research.":[43],"Data":[44],"is":[46],"done":[47],"utilizing":[48],"device":[50],"sensor":[51],"suite,":[52],"allowing":[53],"us":[54],"to":[55,80,114],"leverage":[56],"scene":[57],"and":[58,64,74,87,99,110,120,124],"contextual":[59],"information":[60],"various":[62,121],"environments":[63],"tasks.":[65],"This":[66,94],"paper":[67],"will":[68,105],"discuss":[69],"systems":[71],"place":[73],"technical":[75],"steps":[76],"taken":[79],"enable":[81,106],"eye":[82,102,112,118],"tracking":[83,103,113],"for":[84],"project,":[86],"select":[88],"lessons":[89],"learned":[90],"process.":[93],"large-scale":[95],"tool":[98],"open":[100],"source":[101],"model":[104],"advances":[107],"mobile":[109],"pervasive":[111],"understand":[115],"nuances":[116],"movements":[119],"future":[122],"AI":[123],"applications.":[126]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}