{"id":"https://openalex.org/W7131879982","doi":"https://doi.org/10.1109/sii64115.2026.11404558","title":"Identifying Bottlenecks in Student Learning using Eye Tracking Measurements in Lathe Operation Training <sup>*</sup>","display_name":"Identifying Bottlenecks in Student Learning using Eye Tracking Measurements in Lathe Operation Training <sup>*</sup>","publication_year":2026,"publication_date":"2026-01-11","ids":{"openalex":"https://openalex.org/W7131879982","doi":"https://doi.org/10.1109/sii64115.2026.11404558"},"language":null,"primary_location":{"id":"doi:10.1109/sii64115.2026.11404558","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sii64115.2026.11404558","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/SICE International Symposium on System Integration (SII)","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/A5127112109","display_name":"M. Kimizuka","orcid":null},"institutions":[{"id":"https://openalex.org/I4210160010","display_name":"Tokyo Metropolitan Industrial Technology Research Institute","ror":"https://ror.org/05sa4da38","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210160010"]},{"id":"https://openalex.org/I52706244","display_name":"College of Industrial Technology","ror":"https://ror.org/054a9s036","country_code":"JP","type":"education","lineage":["https://openalex.org/I52706244"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"M. Kimizuka","raw_affiliation_strings":["Tokyo Metropolitan College of Industrial Technology,Mechanical Systems Engineering Course,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Metropolitan College of Industrial Technology,Mechanical Systems Engineering Course,Tokyo,Japan","institution_ids":["https://openalex.org/I52706244","https://openalex.org/I4210160010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127037731","display_name":"Y. Ito","orcid":null},"institutions":[{"id":"https://openalex.org/I4210160010","display_name":"Tokyo Metropolitan Industrial Technology Research Institute","ror":"https://ror.org/05sa4da38","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210160010"]},{"id":"https://openalex.org/I52706244","display_name":"College of Industrial Technology","ror":"https://ror.org/054a9s036","country_code":"JP","type":"education","lineage":["https://openalex.org/I52706244"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Y. Ito","raw_affiliation_strings":["Tokyo Metropolitan College of Industrial Technology,Mechanical Systems Engineering Course,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Metropolitan College of Industrial Technology,Mechanical Systems Engineering Course,Tokyo,Japan","institution_ids":["https://openalex.org/I52706244","https://openalex.org/I4210160010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127309827","display_name":"H. Saito","orcid":null},"institutions":[{"id":"https://openalex.org/I4210160010","display_name":"Tokyo Metropolitan Industrial Technology Research Institute","ror":"https://ror.org/05sa4da38","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210160010"]},{"id":"https://openalex.org/I52706244","display_name":"College of Industrial Technology","ror":"https://ror.org/054a9s036","country_code":"JP","type":"education","lineage":["https://openalex.org/I52706244"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"H. Saito","raw_affiliation_strings":["Tokyo Metropolitan College of Industrial Technology,Mechanical Systems Engineering Course,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Metropolitan College of Industrial Technology,Mechanical Systems Engineering Course,Tokyo,Japan","institution_ids":["https://openalex.org/I52706244","https://openalex.org/I4210160010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127407274","display_name":"D. Chugo","orcid":null},"institutions":[{"id":"https://openalex.org/I206011266","display_name":"Kwansei Gakuin University","ror":"https://ror.org/02qf2tx24","country_code":"JP","type":"education","lineage":["https://openalex.org/I206011266"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"D. Chugo","raw_affiliation_strings":["Kwansei Gakuin University,School of Science and Technology,Hyogo,Japan"],"affiliations":[{"raw_affiliation_string":"Kwansei Gakuin University,School of Science and Technology,Hyogo,Japan","institution_ids":["https://openalex.org/I206011266"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5127167371","display_name":"H.Hashimoto","orcid":null},"institutions":[{"id":"https://openalex.org/I74640424","display_name":"Advanced Institute of Industrial Technology","ror":"https://ror.org/04f9apy08","country_code":"JP","type":"education","lineage":["https://openalex.org/I74640424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"H.Hashimoto","raw_affiliation_strings":["Advanced Institute of Industrial Technology,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"Advanced Institute of Industrial Technology,Tokyo,Japan","institution_ids":["https://openalex.org/I74640424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5127112109"],"corresponding_institution_ids":["https://openalex.org/I4210160010","https://openalex.org/I52706244"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.94641052,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"137","last_page":"142"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11516","display_name":"Visual and Cognitive Learning Processes","score":0.5015000104904175,"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/T11516","display_name":"Visual and Cognitive Learning Processes","score":0.5015000104904175,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.21629999577999115,"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/T10982","display_name":"Motor Control and Adaptation","score":0.041600000113248825,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.7889999747276306},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.6230000257492065},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.595300018787384},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4634999930858612},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.3276999890804291},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.313400000333786}],"concepts":[{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.7889999747276306},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6230000257492065},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.595300018787384},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5730999708175659},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4634999930858612},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44119998812675476},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.33899998664855957},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.3276999890804291},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.313400000333786},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30480000376701355},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.30239999294281006},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.3019999861717224},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2953999936580658},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.28769999742507935},{"id":"https://openalex.org/C10431821","wikidata":"https://www.wikidata.org/wiki/Q6510174","display_name":"Learning effect","level":2,"score":0.2745000123977661},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2718999981880188},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.26600000262260437},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.26330000162124634},{"id":"https://openalex.org/C34585555","wikidata":"https://www.wikidata.org/wiki/Q1368723","display_name":"Learning curve","level":2,"score":0.2563000023365021},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2540000081062317}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sii64115.2026.11404558","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sii64115.2026.11404558","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/SICE International Symposium on System Integration (SII)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W164367","https://openalex.org/W1538622809","https://openalex.org/W2119409020","https://openalex.org/W2150060334","https://openalex.org/W2560145178","https://openalex.org/W2821318994","https://openalex.org/W4300117787","https://openalex.org/W4310880133","https://openalex.org/W4312940234","https://openalex.org/W4381616309"],"related_works":[],"abstract_inverted_index":{"This":[0,36],"paper":[1,37],"aims":[2],"to":[3,13,22,55],"identify":[4],"bottlenecks":[5,39,50,66],"in":[6,20],"learning":[7,27],"lathe":[8,30],"operation":[9,31],"and":[10,25,44,72],"find":[11],"ways":[12],"reduce":[14,56],"the":[15,18,57],"workload":[16,58],"of":[17],"identification,":[19],"order":[21],"analyze":[23],"effective":[24],"efficient":[26],"processes":[28],"for":[29,33,41,48,60],"training":[32,43,69],"beginner":[34],"students.":[35],"considers":[38],"suitable":[40],"practical":[42],"proposes":[45],"a":[46],"method":[47],"measuring":[49],"using":[51],"an":[52],"eye":[53],"tracker":[54],"required":[59],"identification.":[61],"Based":[62],"on":[63],"this":[64],"method,":[65],"during":[67],"student":[68],"are":[70],"identified":[71],"discussed.":[73]},"counts_by_year":[],"updated_date":"2026-03-01T06:05:34.837733","created_date":"2026-02-28T00:00:00"}