{"id":"https://openalex.org/W3119771840","doi":"https://doi.org/10.1109/ieem45057.2020.9309961","title":"Experimental Study on Visual Variables Influencing Icon Similarity","display_name":"Experimental Study on Visual Variables Influencing Icon Similarity","publication_year":2020,"publication_date":"2020-12-14","ids":{"openalex":"https://openalex.org/W3119771840","doi":"https://doi.org/10.1109/ieem45057.2020.9309961","mag":"3119771840"},"language":"en","primary_location":{"id":"doi:10.1109/ieem45057.2020.9309961","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieem45057.2020.9309961","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","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/A5103258688","display_name":"Song Ding","orcid":"https://orcid.org/0000-0001-6527-2339"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"S. Y. Ding","raw_affiliation_strings":["Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022542028","display_name":"H. Y. Wang","orcid":"https://orcid.org/0000-0002-4459-7457"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"H. Y. Wang","raw_affiliation_strings":["Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101505077","display_name":"Chengqi Xue","orcid":"https://orcid.org/0000-0002-8007-5728"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"C. Q. Xue","raw_affiliation_strings":["Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103258688"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.1474,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50917213,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"240","last_page":"243"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9975000023841858,"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":0.9975000023841858,"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/T12496","display_name":"Color perception and design","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/T12006","display_name":"Ergonomics and Musculoskeletal Disorders","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/icon","display_name":"Icon","score":0.9853391051292419},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.8437386155128479},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6583482027053833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48962026834487915},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47015905380249023},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4529196619987488},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.4327136278152466},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.4287525713443756},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3555639982223511},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22469556331634521},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.07977136969566345}],"concepts":[{"id":"https://openalex.org/C2778447006","wikidata":"https://www.wikidata.org/wiki/Q1156474","display_name":"Icon","level":2,"score":0.9853391051292419},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.8437386155128479},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6583482027053833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48962026834487915},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47015905380249023},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4529196619987488},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.4327136278152466},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.4287525713443756},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3555639982223511},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22469556331634521},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.07977136969566345},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieem45057.2020.9309961","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieem45057.2020.9309961","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2114413866","https://openalex.org/W2395860504","https://openalex.org/W2417594687","https://openalex.org/W2904474229"],"related_works":["https://openalex.org/W3175319091","https://openalex.org/W4360922125","https://openalex.org/W2056060060","https://openalex.org/W2175435306","https://openalex.org/W2076882245","https://openalex.org/W220677501","https://openalex.org/W2981902742","https://openalex.org/W4207071872","https://openalex.org/W4283720006","https://openalex.org/W3119771840"],"abstract_inverted_index":{"The":[0,152],"study":[1],"on":[2,47,119,160],"icon":[3,40,48,95,114,120],"similarity":[4,49,121,145,161],"can":[5],"provide":[6],"a":[7,29,36],"powerful":[8],"reference":[9],"for":[10,158],"designing":[11],"more":[12,147],"unique":[13],"and":[14,43,69,85],"highly":[15],"recognizable":[16],"icons,":[17],"to":[18,63,78,89],"help":[19,27],"people":[20],"interact":[21],"with":[22,25,126,143],"machines":[23],"better":[24],"the":[26,52,58,74,79,83,90,94,98,102,106,109,131,134,141,150],"of":[28,38,54,82,93,108,113,130,155,163],"graphical":[30],"user":[31],"interface.":[32],"This":[33],"paper":[34],"extracted":[35],"series":[37],"important":[39],"visual":[41,80,91,111],"variables":[42,81,92,112],"studied":[44],"their":[45],"influence":[46,117],"judgment.":[50],"Through":[51,101],"experiment":[53],"icons":[55,66,142],"classification":[56,99],"tasks,":[57],"strategy":[59],"adopted":[60],"by":[61],"subjects":[62,75,132],"classify":[64],"similar":[65],"was":[67,71,123],"obtained,":[68],"it":[70,137],"found":[72],"that":[73,140],"gave":[76],"priority":[77],"background":[84],"then":[86],"paid":[87],"attention":[88,148],"body":[96,115],"in":[97],"process.":[100],"comparison":[103,135],"behavior":[104],"experiment,":[105,136],"order":[107],"four":[110],"whose":[116],"degree":[118],"judgment":[122],"obtained.":[124],"Combined":[125],"eye":[127],"movement":[128],"index":[129],"during":[133,149],"is":[138],"concluded":[139],"high":[144],"receive":[146],"comparison.":[151],"results":[153],"are":[154],"great":[156],"significance":[157],"research":[159],"recognition":[162],"icons.":[164]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
