{"id":"https://openalex.org/W2301899467","doi":"https://doi.org/10.1145/2857491.2857531","title":"Skilled gaze behavior extraction based on dependency analysis of gaze patterns on video scenes","display_name":"Skilled gaze behavior extraction based on dependency analysis of gaze patterns on video scenes","publication_year":2016,"publication_date":"2016-03-08","ids":{"openalex":"https://openalex.org/W2301899467","doi":"https://doi.org/10.1145/2857491.2857531","mag":"2301899467"},"language":"en","primary_location":{"id":"doi:10.1145/2857491.2857531","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2857491.2857531","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research &amp; Applications","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/A5053974256","display_name":"Atsushi Iwatsuki","orcid":null},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Atsushi Iwatsuki","raw_affiliation_strings":["Nagoya University"],"affiliations":[{"raw_affiliation_string":"Nagoya University","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036735172","display_name":"Takatsugu Hirayama","orcid":"https://orcid.org/0000-0001-6290-9680"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takatsugu Hirayama","raw_affiliation_strings":["Nagoya University"],"affiliations":[{"raw_affiliation_string":"Nagoya University","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045995460","display_name":"Junya Morita","orcid":"https://orcid.org/0000-0002-9451-8358"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Junya Morita","raw_affiliation_strings":["Nagoya University"],"affiliations":[{"raw_affiliation_string":"Nagoya University","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111458376","display_name":"Kenji Mase","orcid":null},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenji Mase","raw_affiliation_strings":["Nagoya University"],"affiliations":[{"raw_affiliation_string":"Nagoya University","institution_ids":["https://openalex.org/I60134161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5053974256"],"corresponding_institution_ids":["https://openalex.org/I60134161"],"apc_list":null,"apc_paid":null,"fwci":0.5398,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.66486194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"299","last_page":"302"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9994999766349792,"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":0.9994999766349792,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9828000068664551,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9710999727249146,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/gaze","display_name":"Gaze","score":0.9146691560745239},{"id":"https://openalex.org/keywords/optimal-distinctiveness-theory","display_name":"Optimal distinctiveness theory","score":0.7939768433570862},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7253500819206238},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5815602540969849},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.532569944858551},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4766205847263336},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4327412247657776},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.16086345911026}],"concepts":[{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.9146691560745239},{"id":"https://openalex.org/C47385372","wikidata":"https://www.wikidata.org/wiki/Q7098943","display_name":"Optimal distinctiveness theory","level":2,"score":0.7939768433570862},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7253500819206238},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5815602540969849},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.532569944858551},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4766205847263336},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4327412247657776},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.16086345911026},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2857491.2857531","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2857491.2857531","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research &amp; Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320335839","display_name":"National Institute of Information and Communications Technology","ror":"https://ror.org/016bgq349"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W85152245","https://openalex.org/W1967571047","https://openalex.org/W2016381774","https://openalex.org/W2038034957","https://openalex.org/W2068632118","https://openalex.org/W2128160875","https://openalex.org/W4205834413","https://openalex.org/W4211165038","https://openalex.org/W6808229666"],"related_works":["https://openalex.org/W4225552138","https://openalex.org/W2032875729","https://openalex.org/W3046185751","https://openalex.org/W2475308993","https://openalex.org/W2790526747","https://openalex.org/W2477273251","https://openalex.org/W2069575426","https://openalex.org/W3002212064","https://openalex.org/W90767720","https://openalex.org/W2385108104"],"abstract_inverted_index":{"The":[0],"eye":[1,111],"gaze":[2,40,64,86,98,120,146],"behavior":[3,41,99],"of":[4,13,20,42,66,77,81,84,100,145],"individuals":[5],"changes":[6,95],"depending":[7],"on":[8,32,73,88,130,139],"their":[9,18,85],"knowledge":[10],"and":[11,36,110,119,142],"experience":[12],"the":[14,39,45,82,94,97,104,107,136,140],"event":[15],"occurring":[16],"in":[17,79,96,106],"field":[19],"view.":[21],"In":[22,53],"past":[23],"studies,":[24],"researchers":[25],"formulated":[26],"a":[27,33,58,70,74],"hypothesis":[28],"concerning":[29],"this":[30,50,54],"dependency":[31,83,137],"specific":[34],"scene":[35],"then":[37],"analyzed":[38],"viewers":[43,78],"observing":[44],"scene.":[46,151],"We":[47],"depart":[48],"from":[49],"hypothesis-testing":[51],"paradigm.":[52],"paper,":[55],"we":[56,134],"propose":[57],"data-mining":[59],"framework":[60],"for":[61,148],"extracting":[62],"skilled":[63],"behaviors":[65],"experts":[67,101],"while":[68],"watching":[69],"video":[71,89,109,117,150],"based":[72,138],"comprehensive":[75],"comparison":[76],"terms":[80],"patterns":[87,147],"scenes.":[90],"To":[91],"quantitatively":[92],"analyze":[93,135],"according":[102],"to":[103],"events":[105],"scene,":[108],"movement":[112],"sequences":[113],"are":[114],"classified":[115],"into":[116],"scenes":[118],"patterns,":[121],"respectively,":[122],"by":[123],"using":[124],"an":[125],"unsupervised":[126],"clustering":[127],"method":[128],"focusing":[129],"short-time":[131],"dynamics.":[132],"Then,":[133],"distinctiveness":[141],"occurrence":[143],"frequency":[144],"each":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
