{"id":"https://openalex.org/W3010044660","doi":"https://doi.org/10.1145/3374135.3385263","title":"Non-intrusive Identification of Student Attentiveness and Finding Their Correlation with Detectable Facial Emotions","display_name":"Non-intrusive Identification of Student Attentiveness and Finding Their Correlation with Detectable Facial Emotions","publication_year":2020,"publication_date":"2020-04-02","ids":{"openalex":"https://openalex.org/W3010044660","doi":"https://doi.org/10.1145/3374135.3385263","mag":"3010044660"},"language":"en","primary_location":{"id":"doi:10.1145/3374135.3385263","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3374135.3385263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 ACM Southeast Conference","raw_type":"proceedings-article"},"type":"article","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/A5010139871","display_name":"Tasnia Tabassum","orcid":"https://orcid.org/0000-0003-4707-6742"},"institutions":[{"id":"https://openalex.org/I39815113","display_name":"Georgia Southern University","ror":"https://ror.org/04agmb972","country_code":"US","type":"education","lineage":["https://openalex.org/I39815113"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tasnia Tabassum","raw_affiliation_strings":["Computer Science, Georgia Southern University, Statesboro, GA, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science, Georgia Southern University, Statesboro, GA, USA","institution_ids":["https://openalex.org/I39815113"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014676760","display_name":"Andrew Allen","orcid":"https://orcid.org/0000-0003-0244-3123"},"institutions":[{"id":"https://openalex.org/I39815113","display_name":"Georgia Southern University","ror":"https://ror.org/04agmb972","country_code":"US","type":"education","lineage":["https://openalex.org/I39815113"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew A. Allen","raw_affiliation_strings":["Computer Science, Georgia Southern University, Statesboro, GA, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science, Georgia Southern University, Statesboro, GA, USA","institution_ids":["https://openalex.org/I39815113"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090678082","display_name":"Pradipta De","orcid":"https://orcid.org/0000-0003-3263-8191"},"institutions":[{"id":"https://openalex.org/I39815113","display_name":"Georgia Southern University","ror":"https://ror.org/04agmb972","country_code":"US","type":"education","lineage":["https://openalex.org/I39815113"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pradipta De","raw_affiliation_strings":["Computer Science, Georgia Southern University, Statesboro, GA, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science, Georgia Southern University, Statesboro, GA, USA","institution_ids":["https://openalex.org/I39815113"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5010139871"],"corresponding_institution_ids":["https://openalex.org/I39815113"],"apc_list":null,"apc_paid":null,"fwci":2.1484,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.87266052,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"127","last_page":"134"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive 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/T12593","display_name":"Communication in Education and Healthcare","score":0.9577999711036682,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6055300235748291},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5951306819915771},{"id":"https://openalex.org/keywords/observational-study","display_name":"Observational study","score":0.5822240710258484},{"id":"https://openalex.org/keywords/pace","display_name":"Pace","score":0.5642342567443848},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5109140276908875},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4983644485473633},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4871060848236084},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.48535504937171936},{"id":"https://openalex.org/keywords/observational-learning","display_name":"Observational learning","score":0.4345664978027344},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.418911874294281},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3696627914905548},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.31599050760269165},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.26049578189849854},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10897251963615417}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6055300235748291},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5951306819915771},{"id":"https://openalex.org/C23131810","wikidata":"https://www.wikidata.org/wiki/Q818574","display_name":"Observational study","level":2,"score":0.5822240710258484},{"id":"https://openalex.org/C2777526511","wikidata":"https://www.wikidata.org/wiki/Q691543","display_name":"Pace","level":2,"score":0.5642342567443848},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5109140276908875},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4983644485473633},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4871060848236084},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.48535504937171936},{"id":"https://openalex.org/C102483320","wikidata":"https://www.wikidata.org/wiki/Q1143725","display_name":"Observational learning","level":3,"score":0.4345664978027344},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.418911874294281},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3696627914905548},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.31599050760269165},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.26049578189849854},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10897251963615417},{"id":"https://openalex.org/C37228920","wikidata":"https://www.wikidata.org/wiki/Q1307600","display_name":"Experiential learning","level":2,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3374135.3385263","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3374135.3385263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 ACM Southeast Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.800000011920929,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1974023945","https://openalex.org/W2023053047","https://openalex.org/W2081112272","https://openalex.org/W2081695762","https://openalex.org/W2087511931","https://openalex.org/W2135726804","https://openalex.org/W2407869609","https://openalex.org/W2471975440","https://openalex.org/W2498228581","https://openalex.org/W2506506742","https://openalex.org/W2520167576","https://openalex.org/W2556160721","https://openalex.org/W2564604383","https://openalex.org/W2620657989","https://openalex.org/W2755860313","https://openalex.org/W2772490252","https://openalex.org/W2802627404","https://openalex.org/W2895444900","https://openalex.org/W2919890647","https://openalex.org/W2920064282","https://openalex.org/W2943898749","https://openalex.org/W2956725921","https://openalex.org/W2957865981","https://openalex.org/W3102749295","https://openalex.org/W3106361428","https://openalex.org/W4255441728","https://openalex.org/W4298214616"],"related_works":["https://openalex.org/W4292295208","https://openalex.org/W3005195263","https://openalex.org/W2984754350","https://openalex.org/W2049593823","https://openalex.org/W2785314358","https://openalex.org/W2379438865","https://openalex.org/W1596863351","https://openalex.org/W2948271338","https://openalex.org/W2050730932","https://openalex.org/W2963701792"],"abstract_inverted_index":{"Teachers":[0],"use":[1],"observational":[2,37],"cues":[3,38],"in":[4,106,129],"the":[5,14,40,57,68,82,110],"classroom":[6,130],"to":[7,80,108,136],"identify":[8,81],"attentiveness":[9,47],"of":[10,16,21,56,70,90,126],"students":[11,91,105,128],"and":[12,44,96,103,131],"guide":[13],"pace":[15],"their":[17,46],"lecture.":[18],"However,":[19],"effectiveness":[20],"this":[22],"technique":[23],"decreases":[24],"with":[25,67,84],"increasing":[26],"class":[27],"size.":[28],"This":[29,114],"paper":[30],"presented":[31],"an":[32],"approach":[33],"for":[34,101,120,123],"automating":[35],"these":[36],"from":[39,74],"students'":[41],"facial":[42],"expressions":[43],"identifying":[45],"via":[48],"a":[49,75],"neural":[50],"network":[51],"machine":[52,111],"learning":[53,59,112],"model.":[54,113],"Results":[55],"deep":[58],"Convolutional":[60],"Neural":[61],"Network":[62],"model":[63],"were":[64,92,99],"then":[65],"compared":[66],"range":[69],"confidence":[71],"values":[72],"obtained":[73],"cloud-based":[76],"emotion":[77],"recognition":[78],"service":[79],"correlations":[83],"human":[85],"observer.":[86],"Real":[87],"time":[88],"videos":[89],"collected":[93],"during":[94],"classes":[95],"sample":[97],"dataset":[98],"created":[100],"attentive":[102],"inattentive":[104,127],"order":[107],"train":[109],"system":[115],"can":[116],"be":[117],"highly":[118],"useful":[119],"inexperienced":[121],"teachers":[122],"early":[124],"identification":[125],"thereby":[132],"taking":[133],"necessary":[134],"actions":[135],"enhance":[137],"student":[138],"learning.":[139]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
