{"id":"https://openalex.org/W2779037879","doi":"https://doi.org/10.1109/gcce.2017.8229391","title":"Potentiality of 3D convolutional neural networks to estimate customer expectation and satisfaction","display_name":"Potentiality of 3D convolutional neural networks to estimate customer expectation and satisfaction","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2779037879","doi":"https://doi.org/10.1109/gcce.2017.8229391","mag":"2779037879"},"language":"en","primary_location":{"id":"doi:10.1109/gcce.2017.8229391","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce.2017.8229391","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 6th Global Conference on Consumer Electronics (GCCE)","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/A5111453444","display_name":"Tomofumi Nakano","orcid":null},"institutions":[{"id":"https://openalex.org/I197274945","display_name":"Nagoya Institute of Technology","ror":"https://ror.org/055yf1005","country_code":"JP","type":"education","lineage":["https://openalex.org/I197274945"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomofumi Nakano","raw_affiliation_strings":["Dept. of Computer Science and Engineering, Nagoya Institute of Technology, Nagoya, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, Nagoya Institute of Technology, Nagoya, Japan","institution_ids":["https://openalex.org/I197274945"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088832778","display_name":"Sh\u014dhei Kato","orcid":"https://orcid.org/0000-0003-4130-2729"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shohei Kato","raw_affiliation_strings":["Dept. of Computer Science and Engineering, Frontier Research Institute for Information Science, Nagoya, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, Frontier Research Institute for Information Science, Nagoya, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.22226658,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9829999804496765,"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":0.9829999804496765,"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/T10648","display_name":"Virtual Reality Applications and Impacts","score":0.9825999736785889,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9768999814987183,"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/customer-satisfaction","display_name":"Customer satisfaction","score":0.8209043741226196},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7103220820426941},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6967077255249023},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4578588902950287},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4309147298336029},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39039844274520874},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.25640901923179626},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.16332599520683289}],"concepts":[{"id":"https://openalex.org/C191511416","wikidata":"https://www.wikidata.org/wiki/Q999278","display_name":"Customer satisfaction","level":2,"score":0.8209043741226196},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7103220820426941},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6967077255249023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4578588902950287},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4309147298336029},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39039844274520874},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.25640901923179626},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.16332599520683289}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcce.2017.8229391","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce.2017.8229391","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 6th 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":11,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1983364832","https://openalex.org/W1997068860","https://openalex.org/W2028184439","https://openalex.org/W2095705004","https://openalex.org/W2181789306","https://openalex.org/W2333565172","https://openalex.org/W2964121744","https://openalex.org/W4285719527","https://openalex.org/W6674330103","https://openalex.org/W6685534383"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Companies":[0],"and":[1,7,16,23,42,57],"public":[2],"entities":[3],"administer":[4],"customer":[5,40],"expectation":[6,41],"satisfaction":[8,43,50],"surveys":[9],"to":[10,32,38],"identify":[11],"business":[12],"problems.":[13],"However,":[14],"devising":[15],"analyzing":[17],"questionnaires":[18,25],"is":[19],"burdensome":[20],"for":[21],"investigators,":[22],"answering":[24],"imposes":[26],"a":[27],"burden":[28],"on":[29],"customers.":[30],"Here,":[31],"address":[33],"these":[34],"problems,":[35],"we":[36,64],"attempt":[37],"estimate":[39],"using":[44],"sensing":[45],"technology.":[46],"We":[47],"hypothesize":[48],"that":[49],"can":[51],"be":[52],"discerned":[53],"through":[54],"facial":[55],"expressions":[56],"body":[58],"motions.":[59],"To":[60],"validate":[61],"this":[62],"hypothesis,":[63],"applied":[65],"three-dimensional":[66],"convolutional":[67],"neural":[68],"networks.":[69]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
