{"id":"https://openalex.org/W2761794130","doi":"https://doi.org/10.1142/s0218001418500167","title":"An Evaluation Method of Visualization Using Visual Momentum Based on Eye-Tracking Data","display_name":"An Evaluation Method of Visualization Using Visual Momentum Based on Eye-Tracking Data","publication_year":2017,"publication_date":"2017-10-09","ids":{"openalex":"https://openalex.org/W2761794130","doi":"https://doi.org/10.1142/s0218001418500167","mag":"2761794130"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001418500167","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001418500167","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","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/A5004092065","display_name":"Xiaozhou Zhou","orcid":"https://orcid.org/0000-0003-0370-2369"},"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":"Xiaozhou Zhou","raw_affiliation_strings":["School of Mechanical Engineering, Southeast University, Nanjing 211189, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Southeast University, Nanjing 211189, P. R. China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","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":true,"raw_author_name":"Chengqi Xue","raw_affiliation_strings":["School of Mechanical Engineering, Southeast University, Nanjing 211189, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Southeast University, Nanjing 211189, P. R. China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102027007","display_name":"Lei Zhou","orcid":"https://orcid.org/0000-0002-6100-9346"},"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":"Lei Zhou","raw_affiliation_strings":["School of Mechanical Engineering, Southeast University, Nanjing 211189, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Southeast University, Nanjing 211189, P. R. China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033818402","display_name":"Yafeng Niu","orcid":"https://orcid.org/0000-0002-5572-3770"},"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":"Yafeng Niu","raw_affiliation_strings":["School of Mechanical Engineering, Southeast University, Nanjing 211189, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Southeast University, Nanjing 211189, P. R. China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101505077"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.4551,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.73059582,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"32","issue":"05","first_page":"1850016","last_page":"1850016"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.993399977684021,"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/T10799","display_name":"Data Visualization and Analytics","score":0.993399977684021,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9836000204086304,"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/T11516","display_name":"Visual and Cognitive Learning Processes","score":0.9797000288963318,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.829652726650238},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.7247430086135864},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7139201164245605},{"id":"https://openalex.org/keywords/saccade","display_name":"Saccade","score":0.5771639943122864},{"id":"https://openalex.org/keywords/fixation","display_name":"Fixation (population genetics)","score":0.5538771748542786},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5281474590301514},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.4913243353366852},{"id":"https://openalex.org/keywords/eye-movement","display_name":"Eye movement","score":0.4770442843437195},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.425006628036499},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37277430295944214}],"concepts":[{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.829652726650238},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.7247430086135864},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7139201164245605},{"id":"https://openalex.org/C2779524336","wikidata":"https://www.wikidata.org/wiki/Q369503","display_name":"Saccade","level":3,"score":0.5771639943122864},{"id":"https://openalex.org/C146249460","wikidata":"https://www.wikidata.org/wiki/Q2914991","display_name":"Fixation (population genetics)","level":3,"score":0.5538771748542786},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5281474590301514},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.4913243353366852},{"id":"https://openalex.org/C153050134","wikidata":"https://www.wikidata.org/wiki/Q760256","display_name":"Eye movement","level":2,"score":0.4770442843437195},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.425006628036499},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37277430295944214},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001418500167","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001418500167","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.47999998927116394,"display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G2320916435","display_name":null,"funder_award_id":"71271053","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3991492062","display_name":null,"funder_award_id":"No. KYLX_0104","funder_id":"https://openalex.org/F4320335769","funder_display_name":"Graduate Research and Innovation Projects of Jiangsu Province"},{"id":"https://openalex.org/G7543038162","display_name":null,"funder_award_id":"71471037","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335769","display_name":"Graduate Research and Innovation Projects of Jiangsu Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W24257753","https://openalex.org/W1120748733","https://openalex.org/W1517003397","https://openalex.org/W1965453174","https://openalex.org/W1975642834","https://openalex.org/W1983943039","https://openalex.org/W1984227063","https://openalex.org/W1991667426","https://openalex.org/W2003025525","https://openalex.org/W2013112874","https://openalex.org/W2014433515","https://openalex.org/W2015048982","https://openalex.org/W2025692333","https://openalex.org/W2029823187","https://openalex.org/W2033565928","https://openalex.org/W2054995508","https://openalex.org/W2064321595","https://openalex.org/W2065488074","https://openalex.org/W2076338678","https://openalex.org/W2077263306","https://openalex.org/W2082137269","https://openalex.org/W2085710993","https://openalex.org/W2092762459","https://openalex.org/W2098325052","https://openalex.org/W2108512693","https://openalex.org/W2111308094","https://openalex.org/W2130736456","https://openalex.org/W2145112153","https://openalex.org/W2151313489","https://openalex.org/W2151952426","https://openalex.org/W2154789475","https://openalex.org/W2167311324","https://openalex.org/W2286482604","https://openalex.org/W2344630234","https://openalex.org/W2507350365","https://openalex.org/W2511906728","https://openalex.org/W2547705281","https://openalex.org/W2564659506","https://openalex.org/W2592135470","https://openalex.org/W4233974119","https://openalex.org/W4239202739"],"related_works":["https://openalex.org/W2098780161","https://openalex.org/W2017652804","https://openalex.org/W3039243130","https://openalex.org/W2769759101","https://openalex.org/W2079577662","https://openalex.org/W4385383358","https://openalex.org/W2930851727","https://openalex.org/W2174411180","https://openalex.org/W2079218653","https://openalex.org/W2963728472"],"abstract_inverted_index":{"A":[0,53],"new":[1],"method":[2,242],"based":[3],"on":[4],"eye-tracking":[5,30],"data":[6,98,125,150,174],"\u2014":[7,11],"visual":[8],"momentum":[9],"(VM)":[10],"was":[12,59,215],"introduced":[13],"to":[14,85,91],"quantitatively":[15],"evaluate":[16],"a":[17,229,239],"dynamic":[18,201,234,245],"interactive":[19,202],"visualization":[20,76,246],"interface.":[21],"We":[22,189],"extracted":[23],"the":[24,28,33,40,46,66,74,118,124,152,158,178,183,208,212,219,223,244],"dimensionless":[25],"factors":[26,64],"from":[27,123],"raw":[29],"data,":[31],"including":[32],"fixation":[34,47],"time":[35,69],"factor":[36,43,49],"[Formula:":[37,50],"see":[38,51],"text],":[39],"saccade":[41],"amplitude":[42],"D":[44],"and":[45,65,104,107,154,166,191],"number":[48],"text].":[52],"predictive":[54],"regression":[55,119,194,213],"model":[56,120,195,214],"of":[57,117,126,136,151,187],"VM":[58,93,135,161,164,168,209,226],"deduced":[60],"by":[61,89,211],"eye":[62,155],"movement":[63],"performance":[67,153,220],"response":[68],"(RT).":[70],"In":[71],"Experiment":[72,131,197],"1,":[73],"experimental":[75],"materials":[77],"were":[78,108,121,180],"designed":[79],"with":[80,143,182,199,218],"six":[81,111],"effectiveness":[82],"levels":[83],"according":[84],"design":[86,147],"techniques":[87],"proposed":[88],"Woods":[90],"improve":[92],"(total":[94],"replacement,":[95,99],"fixed":[96],"format":[97],"long":[100],"shot,":[101],"perceptual":[102],"landmark":[103],"spatial":[105],"representation)":[106],"tested":[109,190],"in":[110,130,146,196,247],"parallel":[112],"subject":[113],"groups.":[114],"The":[115,133,149,173,204],"coefficients":[116],"calculated":[122,210],"42":[127],"valid":[128],"subjects":[129],"1.":[132],"mean":[134],"each":[137],"group":[138,165,169],"exhibited":[139],"an":[140,144],"increasing":[141],"trend":[142],"increase":[145],"techniques.":[148],"tracking":[156],"among":[157],"combined":[159],"high":[160],"group,":[162],"middle":[163],"low":[167],"indicated":[170,206],"significant":[171],"differences.":[172],"analysis":[175],"indicates":[176],"that":[177,207],"results":[179,205],"consistent":[181],"previous":[184],"qualitative":[185],"research":[186],"VM.":[188],"verified":[192],"this":[193],"2":[198],"another":[200],"visualization.":[203,235],"significantly":[216],"correlated":[217],"data.":[221],"Therefore,":[222],"virtual":[224],"parameter":[225],"can":[227],"be":[228,238],"quantitative":[230],"indicator":[231],"for":[232,243],"evaluating":[233],"It":[236],"could":[237],"useful":[240],"evaluation":[241],"general":[248],"working":[249],"environments.":[250]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}