{"id":"https://openalex.org/W4376480558","doi":"https://doi.org/10.1109/mitp.2023.3262923","title":"How Many Data Does Machine Learning in Human\u2013Computer Interaction Need?: Re-Estimating the Dataset Size for Convolutional Neural Network-Based Models of Visual Perception","display_name":"How Many Data Does Machine Learning in Human\u2013Computer Interaction Need?: Re-Estimating the Dataset Size for Convolutional Neural Network-Based Models of Visual Perception","publication_year":2023,"publication_date":"2023-03-01","ids":{"openalex":"https://openalex.org/W4376480558","doi":"https://doi.org/10.1109/mitp.2023.3262923"},"language":"en","primary_location":{"id":"doi:10.1109/mitp.2023.3262923","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mitp.2023.3262923","pdf_url":null,"source":{"id":"https://openalex.org/S86192639","display_name":"IT Professional","issn_l":"1520-9202","issn":["1520-9202","1941-045X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IT Professional","raw_type":"journal-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/A5081881960","display_name":"Maxim Bakaev","orcid":"https://orcid.org/0000-0002-1889-0692"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Maxim Bakaev","raw_affiliation_strings":["Independent User-Experience Consultant, Novosibirsk, Russia"],"affiliations":[{"raw_affiliation_string":"Independent User-Experience Consultant, Novosibirsk, Russia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056374262","display_name":"Sebastian Heil","orcid":"https://orcid.org/0000-0003-2761-9009"},"institutions":[{"id":"https://openalex.org/I2610724","display_name":"Chemnitz University of Technology","ror":"https://ror.org/00a208s56","country_code":"DE","type":"education","lineage":["https://openalex.org/I2610724"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sebastian Heil","raw_affiliation_strings":["Chemnitz Technical University, Chemnitz, Germany"],"affiliations":[{"raw_affiliation_string":"Chemnitz Technical University, Chemnitz, Germany","institution_ids":["https://openalex.org/I2610724"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045033000","display_name":"Vladimir Khvorostov","orcid":"https://orcid.org/0000-0002-7507-6662"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vladimir Khvorostov","raw_affiliation_strings":["Independent Software Developer, Novosibirsk, Russia"],"affiliations":[{"raw_affiliation_string":"Independent Software Developer, Novosibirsk, Russia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087069237","display_name":"Martin Gaedke","orcid":"https://orcid.org/0000-0002-6729-2912"},"institutions":[{"id":"https://openalex.org/I2610724","display_name":"Chemnitz University of Technology","ror":"https://ror.org/00a208s56","country_code":"DE","type":"education","lineage":["https://openalex.org/I2610724"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Gaedke","raw_affiliation_strings":["Chemnitz Technical University, Chemnitz, Germany"],"affiliations":[{"raw_affiliation_string":"Chemnitz Technical University, Chemnitz, Germany","institution_ids":["https://openalex.org/I2610724"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5081881960"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7408,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.71923011,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"25","issue":"2","first_page":"23","last_page":"29"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9988999962806702,"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/T12650","display_name":"Aesthetic Perception and Analysis","score":0.9972000122070312,"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"}},{"id":"https://openalex.org/T10427","display_name":"Visual perception and processing mechanisms","score":0.9901000261306763,"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/computer-science","display_name":"Computer science","score":0.7776097059249878},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.652923583984375},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6380795240402222},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6246359348297119},{"id":"https://openalex.org/keywords/orderliness","display_name":"Orderliness","score":0.5774960517883301},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4981496334075928},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4733935594558716},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.423867404460907}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7776097059249878},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.652923583984375},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6380795240402222},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6246359348297119},{"id":"https://openalex.org/C2775920722","wikidata":"https://www.wikidata.org/wiki/Q7100719","display_name":"Orderliness","level":2,"score":0.5774960517883301},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4981496334075928},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4733935594558716},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.423867404460907},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mitp.2023.3262923","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mitp.2023.3262923","pdf_url":null,"source":{"id":"https://openalex.org/S86192639","display_name":"IT Professional","issn_l":"1520-9202","issn":["1520-9202","1941-045X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IT Professional","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1964380033","https://openalex.org/W1980665706","https://openalex.org/W1999404243","https://openalex.org/W2047933422","https://openalex.org/W2090921891","https://openalex.org/W2166261011","https://openalex.org/W2884443195","https://openalex.org/W2902900188","https://openalex.org/W2921488597","https://openalex.org/W2962843773","https://openalex.org/W2981679558","https://openalex.org/W3012413426","https://openalex.org/W3031454183","https://openalex.org/W3035563919","https://openalex.org/W3044177754","https://openalex.org/W3048516901","https://openalex.org/W3093501041","https://openalex.org/W3100314869","https://openalex.org/W3171661055","https://openalex.org/W4243791610","https://openalex.org/W4285111453"],"related_works":["https://openalex.org/W1528701848","https://openalex.org/W2075809698","https://openalex.org/W2072922866","https://openalex.org/W2584714167","https://openalex.org/W2913385005","https://openalex.org/W2981131928","https://openalex.org/W4210486920","https://openalex.org/W2248796447","https://openalex.org/W2377385172","https://openalex.org/W3125810014"],"abstract_inverted_index":{"Artificial":[0],"intelligence":[1],"(AI)-based":[2],"user-interface":[3],"(UI)":[4],"design":[5],"and":[6,25,76,128],"evaluation":[7],"are":[8],"currently":[9],"constrained":[10],"by":[11],"the":[12,28,58,81,95,114],"scarcity":[13],"of":[14],"human-generated":[15],"training":[16,60],"data.":[17],"Correspondingly,":[18],"choosing":[19],"appropriate":[20],"neural":[21],"network":[22],"(NN)":[23],"architecture":[24],"carefully":[26],"planning":[27],"sample":[29],"size":[30,62,97],"is":[31,99],"essential":[32],"for":[33,44],"building":[34],"accurate":[35],"machine":[36],"learning":[37],"models.":[38],"Previously,":[39],"we":[40],"have":[41],"estimated":[42],"that":[43,80,94],"a":[45,103],"convolutional":[46],"NN":[47],"to":[48,86],"produce":[49],"better":[50,100],"mean":[51],"square":[52],"errors":[53],"(MSEs)":[54],"than":[55,126,131],"feature-based":[56],"models,":[57],"required":[59],"dataset":[61,96],"should":[63,83],"be":[64,84],"approximately":[65],"3000.":[66],"Our":[67],"current":[68],"validation":[69],"study":[70],"with":[71,118],"roughly":[72],"4000":[73],"web":[74],"UIs":[75],"233":[77],"subjects":[78],"suggests":[79],"estimation":[82],"closer":[85],"17,000.":[87],"We":[88,106],"propose":[89],"corrected":[90],"regression":[91],"models":[92,120],"suggesting":[93],"effect":[98],"described":[101],"using":[102],"logarithmic":[104],"function.":[105],"also":[107],"report":[108],"significant":[109],"differences":[110],"in":[111],"MSEs":[112],"between":[113],"employed":[115],"perception":[116],"dimensions,":[117],"Aesthetics":[119],"having":[121],"an":[122],"MSE":[123],"21.5%":[124],"worse":[125,130],"Complexity":[127],"12.1%":[129],"Orderliness.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}