{"id":"https://openalex.org/W4415481041","doi":"https://doi.org/10.1145/3704413.3765313","title":"Poster: Time-Aware LSTM for Gaze Prediction in Mixed Reality Under Latency Perturbations","display_name":"Poster: Time-Aware LSTM for Gaze Prediction in Mixed Reality Under Latency Perturbations","publication_year":2025,"publication_date":"2025-10-23","ids":{"openalex":"https://openalex.org/W4415481041","doi":"https://doi.org/10.1145/3704413.3765313"},"language":null,"primary_location":{"id":"doi:10.1145/3704413.3765313","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3704413.3765313","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3704413.3765313","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-sixth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3704413.3765313","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050703910","display_name":"Shu Hong","orcid":"https://orcid.org/0000-0001-8761-1864"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shu Hong","raw_affiliation_strings":["George Washington University, Washington, USA"],"raw_orcid":"https://orcid.org/0000-0001-8761-1864","affiliations":[{"raw_affiliation_string":"George Washington University, Washington, USA","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109849744","display_name":"Rongqian Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rongqian Chen","raw_affiliation_strings":["George Washington University, Washington, USA"],"raw_orcid":"https://orcid.org/0009-0000-2562-0319","affiliations":[{"raw_affiliation_string":"George Washington University, Washington, USA","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046887354","display_name":"Rifatul Islam","orcid":"https://orcid.org/0000-0002-4305-9964"},"institutions":[{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rifatul Islam","raw_affiliation_strings":["Kennesaw State University, Kennesaw, USA"],"raw_orcid":"https://orcid.org/0000-0002-4305-9964","affiliations":[{"raw_affiliation_string":"Kennesaw State University, Kennesaw, USA","institution_ids":["https://openalex.org/I172980758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017741575","display_name":"Mahdi Imani","orcid":"https://orcid.org/0000-0001-9570-9909"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mahdi Imani","raw_affiliation_strings":["Northeastern University, Boston, USA"],"raw_orcid":"https://orcid.org/0000-0001-9570-9909","affiliations":[{"raw_affiliation_string":"Northeastern University, Boston, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010830558","display_name":"Gang Tan","orcid":"https://orcid.org/0000-0001-6109-6091"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gang Tan","raw_affiliation_strings":["Pennsylvania State University, University Park, USA"],"raw_orcid":"https://orcid.org/0000-0001-6109-6091","affiliations":[{"raw_affiliation_string":"Pennsylvania State University, University Park, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018464968","display_name":"Tian Lan","orcid":"https://orcid.org/0000-0003-3010-8090"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tian Lan","raw_affiliation_strings":["George Washington University, Washington, USA"],"raw_orcid":"https://orcid.org/0000-0003-3010-8090","affiliations":[{"raw_affiliation_string":"George Washington University, Washington, USA","institution_ids":["https://openalex.org/I193531525"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5050703910"],"corresponding_institution_ids":["https://openalex.org/I193531525"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27980029,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"514","last_page":"515"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9957000017166138,"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":0.9957000017166138,"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/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10648","display_name":"Virtual Reality Applications and Impacts","score":0.9616000056266785,"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/latency","display_name":"Latency (audio)","score":0.7088000178337097},{"id":"https://openalex.org/keywords/gaze","display_name":"Gaze","score":0.6970000267028809},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.6421999931335449},{"id":"https://openalex.org/keywords/mixed-reality","display_name":"Mixed reality","score":0.5123999714851379},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4932999908924103},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.46050000190734863},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4366999864578247},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4115999937057495}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7545999884605408},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.7088000178337097},{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.6970000267028809},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.6421999931335449},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5235999822616577},{"id":"https://openalex.org/C206776904","wikidata":"https://www.wikidata.org/wiki/Q1758389","display_name":"Mixed reality","level":3,"score":0.5123999714851379},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4932999908924103},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.46050000190734863},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4366999864578247},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.43470001220703125},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4115999937057495},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4072999954223633},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38190001249313354},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.36550000309944153},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.35269999504089355},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.3328000009059906},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.3215000033378601},{"id":"https://openalex.org/C46637626","wikidata":"https://www.wikidata.org/wiki/Q6693015","display_name":"Low latency (capital markets)","level":2,"score":0.28949999809265137},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28700000047683716},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.2816999852657318},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.2750999927520752}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3704413.3765313","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3704413.3765313","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3704413.3765313","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-sixth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3704413.3765313","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3704413.3765313","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3704413.3765313","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-sixth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320314997","display_name":"Strong","ror":"https://ror.org/041vyzr56"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415481041.pdf"},"referenced_works_count":2,"referenced_works":["https://openalex.org/W2043143027","https://openalex.org/W2122896223"],"related_works":[],"abstract_inverted_index":{"Cognitive":[0],"attacks":[1],"in":[2,90],"mixed":[3],"reality":[4],"(MR),":[5],"e.g.,":[6],"latency":[7,84],"perturbations":[8],"that":[9,35],"induce":[10],"frame-time":[11],"jitter,":[12],"can":[13],"divert":[14],"visual":[15],"attention":[16],"and":[17,29,46,66],"degrade":[18],"task":[19],"performance.":[20],"We":[21],"study":[22],"2D":[23],"gaze":[24,81],"prediction":[25,54],"under":[26,83],"such":[27],"disturbances":[28],"propose":[30],"a":[31],"time-aware":[32],"sequence":[33],"model":[34],"handles":[36],"irregular":[37],"sampling":[38],"by":[39],"supplying":[40],"elapsed":[41],"times":[42],"\u0394t":[43],"between":[44],"observations":[45],"conditions":[47],"on":[48,70],"sparse":[49],"event/object":[50],"context":[51],"available":[52],"at":[53],"time":[55],"via":[56],"learned":[57],"token":[58],"embeddings.":[59],"Using":[60],"time-based":[61],"windows,":[62],"we":[63],"evaluate":[64],"within-user":[65],"cross-user":[67],"temporal":[68],"generalization":[69],"MR":[71,88],"recordings":[72],"spanning":[73],"multiple":[74],"attack":[75],"intensities.":[76],"Results":[77],"indicate":[78],"accurate,":[79],"time-robust":[80],"regression":[82],"perturbations,":[85],"supporting":[86],"adaptive":[87],"interfaces":[89],"adversarial":[91],"settings.":[92]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-23T00:00:00"}
