{"id":"https://openalex.org/W4388726482","doi":"https://doi.org/10.1109/gcce59613.2023.10315298","title":"Gaze-guiding agents that support parts search while watching instructional videos for assembly tasks","display_name":"Gaze-guiding agents that support parts search while watching instructional videos for assembly tasks","publication_year":2023,"publication_date":"2023-10-10","ids":{"openalex":"https://openalex.org/W4388726482","doi":"https://doi.org/10.1109/gcce59613.2023.10315298"},"language":"en","primary_location":{"id":"doi:10.1109/gcce59613.2023.10315298","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/gcce59613.2023.10315298","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 12th Global Conference on Consumer Electronics (GCCE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5006404260","display_name":"Mizuki Yamanaka","orcid":null},"institutions":[{"id":"https://openalex.org/I92614990","display_name":"Tokyo University of Agriculture and Technology","ror":"https://ror.org/00qg0kr10","country_code":"JP","type":"education","lineage":["https://openalex.org/I92614990"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mizuki Yamanaka","raw_affiliation_strings":["Tokyo University of Agriculture and Technology,Tokyo,Japan","Tokyo University of Agriculture and Technology, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo University of Agriculture and Technology,Tokyo,Japan","institution_ids":["https://openalex.org/I92614990"]},{"raw_affiliation_string":"Tokyo University of Agriculture and Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I92614990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000129602","display_name":"Airi Tsuji","orcid":"https://orcid.org/0000-0003-0805-9624"},"institutions":[{"id":"https://openalex.org/I92614990","display_name":"Tokyo University of Agriculture and Technology","ror":"https://ror.org/00qg0kr10","country_code":"JP","type":"education","lineage":["https://openalex.org/I92614990"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Airi Tsuji","raw_affiliation_strings":["Tokyo University of Agriculture and Technology,Tokyo,Japan","Tokyo University of Agriculture and Technology, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo University of Agriculture and Technology,Tokyo,Japan","institution_ids":["https://openalex.org/I92614990"]},{"raw_affiliation_string":"Tokyo University of Agriculture and Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I92614990"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017820390","display_name":"Kaori Fujinami","orcid":"https://orcid.org/0000-0002-5294-2812"},"institutions":[{"id":"https://openalex.org/I92614990","display_name":"Tokyo University of Agriculture and Technology","ror":"https://ror.org/00qg0kr10","country_code":"JP","type":"education","lineage":["https://openalex.org/I92614990"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kaori Fujinami","raw_affiliation_strings":["Tokyo University of Agriculture and Technology,Tokyo,Japan","Tokyo University of Agriculture and Technology, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo University of Agriculture and Technology,Tokyo,Japan","institution_ids":["https://openalex.org/I92614990"]},{"raw_affiliation_string":"Tokyo University of Agriculture and Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I92614990"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I92614990"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"48","issue":null,"first_page":"65","last_page":"69"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9976000189781189,"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":0.9976000189781189,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9901000261306763,"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"}},{"id":"https://openalex.org/T11687","display_name":"Teleoperation and Haptic Systems","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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":0.7821089029312134},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7728410363197327},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5130054354667664},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42183369398117065},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4190797209739685},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.41386228799819946},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.35437658429145813}],"concepts":[{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.7821089029312134},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7728410363197327},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5130054354667664},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42183369398117065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4190797209739685},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.41386228799819946},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.35437658429145813}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcce59613.2023.10315298","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/gcce59613.2023.10315298","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 12th Global Conference on Consumer Electronics (GCCE)","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":9,"referenced_works":["https://openalex.org/W2025702273","https://openalex.org/W2111981270","https://openalex.org/W2157289187","https://openalex.org/W2399640104","https://openalex.org/W2511912307","https://openalex.org/W2591778563","https://openalex.org/W3095147389","https://openalex.org/W3130662569","https://openalex.org/W3212450652"],"related_works":["https://openalex.org/W1880689012","https://openalex.org/W3014378845","https://openalex.org/W4240909707","https://openalex.org/W2059546927","https://openalex.org/W3207760378","https://openalex.org/W4386072035","https://openalex.org/W2385108104","https://openalex.org/W2161294397","https://openalex.org/W4399144619","https://openalex.org/W2012644758"],"abstract_inverted_index":{"In":[0,24,44],"recent":[1],"years,":[2],"studies":[3],"have":[4,41],"been":[5,42],"conducted":[6,102],"to":[7],"improve":[8],"instructional":[9,114],"videos,":[10],"one":[11],"of":[12,17,35,38,54,68,85,128],"which":[13,106],"demonstrated":[14],"the":[15,31,36,52,73],"effectiveness":[16],"a":[18,66,87,90,94],"robot\u2019s":[19],"gaze-guidance":[20],"for":[21],"supporting":[22],"tasks.":[23],"addition,":[25],"impression":[26],"manipulation":[27],"by":[28],"gaze":[29,53],"and":[30,64,70,89,125],"social":[32,78,129],"promotion":[33],"effect":[34],"presence":[37],"anthropomorphic":[39,56],"agents":[40,121],"shown.":[43],"this":[45,99],"study,":[46],"we":[47,81,101],"hypothesized":[48],"that":[49,119],"support":[50],"using":[51],"an":[55,103,113],"agent":[57],"would":[58],"aid":[59],"in":[60,72,97,105],"real-world":[61],"part":[62],"searching":[63],"instill":[65],"sense":[67],"security":[69],"trust":[71],"system,":[74],"as":[75,77],"well":[76],"facilitation.":[79,130],"Consequently,":[80],"developed":[82],"two":[83],"types":[84],"agents:":[86],"robot":[88],"CG":[91],"agent.":[92],"As":[93],"first":[95],"step":[96],"testing":[98],"hypothesis,":[100],"experiment":[104],"participants":[107],"performed":[108],"assembly":[109],"tasks":[110],"while":[111],"watching":[112],"video.":[115],"The":[116],"results":[117],"indicated":[118],"both":[120],"improved":[122],"work":[123],"efficiency":[124],"were":[126],"capable":[127]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}