{"id":"https://openalex.org/W4399199812","doi":"https://doi.org/10.1145/3649902.3656353","title":"Investigating the Effects of Eye-Tracking Interpolation Methods on Model Performance of LSTM","display_name":"Investigating the Effects of Eye-Tracking Interpolation Methods on Model Performance of LSTM","publication_year":2024,"publication_date":"2024-05-31","ids":{"openalex":"https://openalex.org/W4399199812","doi":"https://doi.org/10.1145/3649902.3656353"},"language":"en","primary_location":{"id":"doi:10.1145/3649902.3656353","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3649902.3656353","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 Symposium on Eye Tracking Research and Applications","raw_type":"proceedings-article"},"type":"conference-paper","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/A5018178838","display_name":"Jesse W. Grootjen","orcid":"https://orcid.org/0000-0001-5211-5377"},"institutions":[{"id":"https://openalex.org/I4403386549","display_name":"Munich Center for Machine Learning","ror":"https://ror.org/02nfy3535","country_code":null,"type":"education","lineage":["https://openalex.org/I4403386549","https://openalex.org/I62916508","https://openalex.org/I8204097"]},{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jesse W Grootjen","raw_affiliation_strings":["LMU Munich, Germany and Munich Center for Machine Learning (MCML), Germany"],"raw_orcid":"https://orcid.org/0000-0001-5211-5377","affiliations":[{"raw_affiliation_string":"LMU Munich, Germany and Munich Center for Machine Learning (MCML), Germany","institution_ids":["https://openalex.org/I4403386549","https://openalex.org/I8204097"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011379943","display_name":"Henrike Weing\u00e4rtner","orcid":"https://orcid.org/0000-0003-1100-312X"},"institutions":[{"id":"https://openalex.org/I3018771216","display_name":"LMU Klinikum","ror":"https://ror.org/02jet3w32","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I3018771216","https://openalex.org/I8204097"]},{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Henrike Weing\u00e4rtner","raw_affiliation_strings":["LMU Munich, Germany"],"raw_orcid":"https://orcid.org/0000-0003-1100-312X","affiliations":[{"raw_affiliation_string":"LMU Munich, Germany","institution_ids":["https://openalex.org/I3018771216","https://openalex.org/I8204097"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040353906","display_name":"Sven Mayer","orcid":"https://orcid.org/0000-0001-5462-8782"},"institutions":[{"id":"https://openalex.org/I4403386549","display_name":"Munich Center for Machine Learning","ror":"https://ror.org/02nfy3535","country_code":null,"type":"education","lineage":["https://openalex.org/I4403386549","https://openalex.org/I62916508","https://openalex.org/I8204097"]},{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sven Mayer","raw_affiliation_strings":["LMU Munich, Germany and Munich Center for Machine Learning (MCML), Germany"],"raw_orcid":"https://orcid.org/0000-0001-5462-8782","affiliations":[{"raw_affiliation_string":"LMU Munich, Germany and Munich Center for Machine Learning (MCML), Germany","institution_ids":["https://openalex.org/I4403386549","https://openalex.org/I8204097"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0891,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.74307646,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9883000254631042,"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":0.9883000254631042,"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/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9714999794960022,"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"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9097999930381775,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.7992724180221558},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7423673868179321},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5943703055381775},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.5300257802009583},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4999659061431885},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4944634437561035},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.06955090165138245},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.055645912885665894}],"concepts":[{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.7992724180221558},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7423673868179321},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5943703055381775},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.5300257802009583},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4999659061431885},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4944634437561035},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.06955090165138245},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.055645912885665894},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3649902.3656353","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3649902.3656353","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 Symposium on Eye Tracking Research and Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1590806791","https://openalex.org/W1971184026","https://openalex.org/W2014159645","https://openalex.org/W2018259906","https://openalex.org/W2046083157","https://openalex.org/W2051434770","https://openalex.org/W2052770734","https://openalex.org/W2061534740","https://openalex.org/W2071241117","https://openalex.org/W2072273451","https://openalex.org/W2072684935","https://openalex.org/W2079677734","https://openalex.org/W2082137269","https://openalex.org/W2087863836","https://openalex.org/W2089986265","https://openalex.org/W2101741974","https://openalex.org/W2115592467","https://openalex.org/W2132268386","https://openalex.org/W2151343288","https://openalex.org/W2153540399","https://openalex.org/W2169417829","https://openalex.org/W2176017127","https://openalex.org/W2286482604","https://openalex.org/W2336090710","https://openalex.org/W2345631430","https://openalex.org/W2525311127","https://openalex.org/W2536455836","https://openalex.org/W2753201713","https://openalex.org/W2947035379","https://openalex.org/W2978709302","https://openalex.org/W3089284501","https://openalex.org/W3136267091","https://openalex.org/W3155883100","https://openalex.org/W3177182897","https://openalex.org/W3200476993","https://openalex.org/W4224230439","https://openalex.org/W4225305086","https://openalex.org/W4288077051","https://openalex.org/W4307711976","https://openalex.org/W4377984374","https://openalex.org/W4380837941","https://openalex.org/W4396833371"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","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":{"Physiological":[0],"sensing":[1],"enables":[2],"us":[3],"to":[4,15,115],"use":[5],"advanced":[6],"adaptive":[7],"functionalities":[8],"through":[9],"physiological":[10],"data":[11],"(e.g.,":[12],"eye":[13,35,59,95],"tracking)":[14],"change":[16],"conditions.":[17],"In":[18],"this":[19],"work,":[20],"we":[21],"investigate":[22,105,116],"the":[23,70,81,89,106],"impact":[24,107],"of":[25,83,93,108],"infilling":[26,50,71,85,110],"methods":[27,111],"on":[28,55,98],"LSTM":[29,63,75],"models\u2019":[30],"performance":[31],"in":[32,43,112],"handling":[33],"missing":[34],"tracking":[36,60,96],"data,":[37],"specifically":[38],"during":[39],"blinks":[40],"and":[41,62,91],"gaps":[42],"recording.":[44],"We":[45],"conducted":[46],"experiments":[47],"using":[48],"recommended":[49],"techniques":[51],"from":[52],"previous":[53],"work":[54,103],"an":[56],"openly":[57],"available":[58],"dataset":[61],"model":[64],"structure.":[65],"Our":[66],"findings":[67],"indicate":[68],"that":[69],"method":[72],"significantly":[73],"influences":[74],"prediction":[76],"accuracy.":[77],"These":[78],"results":[79],"underscore":[80],"importance":[82],"standardized":[84],"approaches":[86],"for":[87],"enhancing":[88],"reliability":[90],"reproducibility":[92],"LSTM-based":[94],"applications":[97],"a":[99],"larger":[100,113],"scale.":[101],"Future":[102],"should":[104],"these":[109],"datasets":[114],"generalizability.":[117]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
