{"id":"https://openalex.org/W4285111453","doi":"https://doi.org/10.1007/978-3-031-05643-7_14","title":"Benchmarking Neural Networks-Based Approaches for Predicting Visual Perception of User Interfaces","display_name":"Benchmarking Neural Networks-Based Approaches for Predicting Visual Perception of User Interfaces","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285111453","doi":"https://doi.org/10.1007/978-3-031-05643-7_14"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-05643-7_14","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-05643-7_14","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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":[{"id":"https://openalex.org/I91727514","display_name":"Novosibirsk State Technical University","ror":"https://ror.org/01b2f6h61","country_code":"RU","type":"education","lineage":["https://openalex.org/I91727514"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Maxim Bakaev","raw_affiliation_strings":["Novosibirsk State Technical University, Novosibirsk, Russia"],"affiliations":[{"raw_affiliation_string":"Novosibirsk State Technical University, Novosibirsk, Russia","institution_ids":["https://openalex.org/I91727514"]}]},{"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":["Technische Universit\u00e4t Chemnitz, Chemnitz, Germany"],"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Chemnitz, Chemnitz, Germany","institution_ids":["https://openalex.org/I2610724"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092296954","display_name":"Leonid Chirkov","orcid":null},"institutions":[{"id":"https://openalex.org/I91727514","display_name":"Novosibirsk State Technical University","ror":"https://ror.org/01b2f6h61","country_code":"RU","type":"education","lineage":["https://openalex.org/I91727514"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Leonid Chirkov","raw_affiliation_strings":["Novosibirsk State Technical University, Novosibirsk, Russia"],"affiliations":[{"raw_affiliation_string":"Novosibirsk State Technical University, Novosibirsk, Russia","institution_ids":["https://openalex.org/I91727514"]}]},{"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":["Technische Universit\u00e4t Chemnitz, Chemnitz, Germany"],"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Chemnitz, Chemnitz, Germany","institution_ids":["https://openalex.org/I2610724"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5081881960"],"corresponding_institution_ids":["https://openalex.org/I91727514"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.848,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.82621328,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"217","last_page":"231"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998999834060669,"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":0.9998999834060669,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9990000128746033,"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":0.9884999990463257,"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":0.8736953735351562},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7191720008850098},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.6744597554206848},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6379101276397705},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6008270978927612},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5334872007369995},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5149868130683899},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5144367814064026},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5143719911575317},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5020272731781006},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4462677538394928},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4182893931865692},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.37948349118232727}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8736953735351562},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7191720008850098},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.6744597554206848},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6379101276397705},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6008270978927612},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5334872007369995},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5149868130683899},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5144367814064026},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5143719911575317},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5020272731781006},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4462677538394928},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4182893931865692},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.37948349118232727},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"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/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-05643-7_14","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-05643-7_14","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2129666903","https://openalex.org/W2532756262","https://openalex.org/W2562706347","https://openalex.org/W2754213847","https://openalex.org/W2765874585","https://openalex.org/W2803949131","https://openalex.org/W2894747149","https://openalex.org/W2896533325","https://openalex.org/W2902900188","https://openalex.org/W2910121883","https://openalex.org/W2921488597","https://openalex.org/W2942184244","https://openalex.org/W2978505340","https://openalex.org/W3035563919","https://openalex.org/W3048516901","https://openalex.org/W3080211177","https://openalex.org/W3089144988","https://openalex.org/W3100314869","https://openalex.org/W3100321043","https://openalex.org/W3103635814","https://openalex.org/W3119641295","https://openalex.org/W3156437422","https://openalex.org/W3160201490","https://openalex.org/W3168563812","https://openalex.org/W3171661055","https://openalex.org/W3195736779","https://openalex.org/W4253826570"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
