{"id":"https://openalex.org/W3198227807","doi":"https://doi.org/10.2312/egve.20211326","title":"Deep Learning on Eye Gaze Data to Classify Student Distraction Level in an Educational VR Environment","display_name":"Deep Learning on Eye Gaze Data to Classify Student Distraction Level in an Educational VR Environment","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3198227807","doi":"https://doi.org/10.2312/egve.20211326","mag":"3198227807"},"language":"en","primary_location":{"id":"doi:10.2312/egve.20211326","is_oa":true,"landing_page_url":"https://doi.org/10.2312/egve.20211326","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/egve.20211326","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085977034","display_name":"Sarker Monojit Asish","orcid":"https://orcid.org/0000-0002-9710-6535"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Asish, Sarker Monojit","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089270885","display_name":"Ekram Hossain","orcid":"https://orcid.org/0000-0002-5932-6887"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hossain, Ekram","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085217765","display_name":"Arun K. Kulshreshth","orcid":"https://orcid.org/0000-0002-1151-6868"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kulshreshth, Arun K.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5033170984","display_name":"Christoph W. Borst","orcid":"https://orcid.org/0000-0001-7361-5426"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Borst, Christoph W.","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5085977034"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9135,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.74470309,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.977400004863739,"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":0.977400004863739,"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/T13382","display_name":"Robotics and Automated Systems","score":0.9629999995231628,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/gaze","display_name":"Gaze","score":0.6861583590507507},{"id":"https://openalex.org/keywords/distraction","display_name":"Distraction","score":0.6735652089118958},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48043131828308105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46076205372810364},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4448264241218567},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.4172445833683014},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3716193437576294},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.16763713955879211}],"concepts":[{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.6861583590507507},{"id":"https://openalex.org/C2776378700","wikidata":"https://www.wikidata.org/wiki/Q3030775","display_name":"Distraction","level":2,"score":0.6735652089118958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48043131828308105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46076205372810364},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4448264241218567},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.4172445833683014},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3716193437576294},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.16763713955879211}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2312/egve.20211326","is_oa":true,"landing_page_url":"https://doi.org/10.2312/egve.20211326","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"},{"id":"mag:3198227807","is_oa":false,"landing_page_url":"https://diglib.eg.org/handle/10.2312/egve20211326","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.2312/egve.20211326","is_oa":true,"landing_page_url":"https://doi.org/10.2312/egve.20211326","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1526099005","https://openalex.org/W3156360343","https://openalex.org/W2548849712","https://openalex.org/W3045491806","https://openalex.org/W3033940933","https://openalex.org/W2005856118","https://openalex.org/W2974955586","https://openalex.org/W3026790184","https://openalex.org/W2739430915","https://openalex.org/W2029580133","https://openalex.org/W2094903532","https://openalex.org/W2117647177","https://openalex.org/W3027364366","https://openalex.org/W401642351","https://openalex.org/W2096257806","https://openalex.org/W2967999310","https://openalex.org/W2114451187","https://openalex.org/W2016632038","https://openalex.org/W2118753880","https://openalex.org/W3101928379"],"abstract_inverted_index":{"Educational":[0],"VR":[1,119],"may":[2],"increase":[3],"engagement":[4],"and":[5,23,136,140],"retention":[6],"compared":[7],"to":[8,26,50,56,71,95,127],"traditional":[9],"learning,":[10],"for":[11,40,68,146,158],"some":[12],"topics":[13],"or":[14,59],"students.":[15,62],"However,":[16,63],"a":[17,69,73,91,108,129],"student":[18,54,77],"could":[19],"still":[20],"get":[21],"distracted":[22,61],"disengaged":[24],"due":[25],"stress,":[27],"mind-wandering,":[28],"unwanted":[29],"noise,":[30],"external":[31],"alerts,":[32],"etc.":[33],"Student":[34],"eye":[35,110],"gaze":[36,48,99,111,134],"can":[37],"be":[38],"useful":[39],"detecting":[41],"distraction.":[42],"For":[43],"example,":[44],"we":[45,89,106,122,138],"previously":[46],"considered":[47],"visualizations":[49],"help":[51,82],"teachers":[52],"understand":[53],"attention":[55],"better":[57],"identify":[58],"guide":[60],"it":[64],"is":[65],"not":[66],"practical":[67],"teacher":[70],"monitor":[72],"large":[74],"numbers":[75],"of":[76,156,167],"indicators":[78],"while":[79],"teaching.":[80],"To":[81],"filter":[83],"students":[84],"based":[85],"on":[86],"distraction":[87,97,131],"level,":[88],"consider":[90],"deep":[92,143],"learning":[93],"approach":[94],"detect":[96],"from":[98,116,133],"data.":[100],"The":[101],"key":[102],"aspects":[103],"are:":[104],"(1)":[105],"created":[107],"labeled":[109],"dataset":[112],"(3.4M":[113],"data":[114],"points)":[115],"an":[117,124,154],"educational":[118,162],"environment,":[120],"(2)":[121],"propose":[123],"automatic":[125],"system":[126],"gauge":[128],"student's":[130],"level":[132],"data,":[135],"(3)":[137],"apply":[139],"compare":[141],"three":[142,168],"neural":[144],"classifiers":[145],"this":[147],"purpose.":[148],"A":[149],"proposed":[150],"CNN-LSTM":[151],"classifier":[152],"achieved":[153],"accuracy":[155],"89.8%":[157],"classifying":[159],"distraction,":[160],"per":[161],"activity":[163],"section,":[164],"into":[165],"one":[166],"levels.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2021-09-13T00:00:00"}
