{"id":"https://openalex.org/W4386029428","doi":"https://doi.org/10.1080/10447318.2023.2247613","title":"Research on Enhanced Situation Awareness Model with DMI Visualization Cues for High-Speed Train Driving","display_name":"Research on Enhanced Situation Awareness Model with DMI Visualization Cues for High-Speed Train Driving","publication_year":2023,"publication_date":"2023-08-20","ids":{"openalex":"https://openalex.org/W4386029428","doi":"https://doi.org/10.1080/10447318.2023.2247613"},"language":"en","primary_location":{"id":"doi:10.1080/10447318.2023.2247613","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10447318.2023.2247613","pdf_url":null,"source":{"id":"https://openalex.org/S165559636","display_name":"International Journal of Human-Computer Interaction","issn_l":"1044-7318","issn":["1044-7318","1532-7590"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Human\u2013Computer Interaction","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/A5012285321","display_name":"Aobo Wang","orcid":"https://orcid.org/0000-0002-0747-1855"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aobo Wang","raw_affiliation_strings":["State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0747-1855","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056845682","display_name":"Beiyuan Guo","orcid":"https://orcid.org/0000-0001-7326-7361"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Beiyuan Guo","raw_affiliation_strings":["State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034922814","display_name":"Ziwang Yi","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziwang Yi","raw_affiliation_strings":["State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041683237","display_name":"Weining Fang","orcid":"https://orcid.org/0000-0002-3768-1845"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weining Fang","raw_affiliation_strings":["State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3768-1845","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5056845682"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":2.2701,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.87887489,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"40","issue":"20","first_page":"6185","last_page":"6199"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":1.0,"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/T14056","display_name":"Safety Warnings and Signage","score":0.9980999827384949,"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/T10370","display_name":"Traffic and Road Safety","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.6667354106903076},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6113063097000122},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5816764831542969},{"id":"https://openalex.org/keywords/driving-simulator","display_name":"Driving simulator","score":0.5450721979141235},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4943101406097412},{"id":"https://openalex.org/keywords/high-speed-train","display_name":"High speed train","score":0.47895389795303345},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.47888487577438354},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.467299222946167},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.4554455280303955},{"id":"https://openalex.org/keywords/beijing","display_name":"Beijing","score":0.44761309027671814},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3929094970226288},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23419228196144104},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.15620607137680054},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1088806688785553},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.10516539216041565}],"concepts":[{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.6667354106903076},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6113063097000122},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5816764831542969},{"id":"https://openalex.org/C2780689630","wikidata":"https://www.wikidata.org/wiki/Q2081815","display_name":"Driving simulator","level":2,"score":0.5450721979141235},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4943101406097412},{"id":"https://openalex.org/C2987763966","wikidata":"https://www.wikidata.org/wiki/Q211382","display_name":"High speed train","level":2,"score":0.47895389795303345},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.47888487577438354},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.467299222946167},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.4554455280303955},{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.44761309027671814},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3929094970226288},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23419228196144104},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.15620607137680054},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1088806688785553},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.10516539216041565},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/10447318.2023.2247613","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10447318.2023.2247613","pdf_url":null,"source":{"id":"https://openalex.org/S165559636","display_name":"International Journal of Human-Computer Interaction","issn_l":"1044-7318","issn":["1044-7318","1532-7590"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Human\u2013Computer Interaction","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G919811726","display_name":null,"funder_award_id":"62203039","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W297834105","https://openalex.org/W1684415682","https://openalex.org/W1967416547","https://openalex.org/W1989989210","https://openalex.org/W1994002317","https://openalex.org/W1996763907","https://openalex.org/W1999256914","https://openalex.org/W2002894033","https://openalex.org/W2028918699","https://openalex.org/W2045707742","https://openalex.org/W2050426605","https://openalex.org/W2063874275","https://openalex.org/W2066126274","https://openalex.org/W2077599769","https://openalex.org/W2080862045","https://openalex.org/W2081247558","https://openalex.org/W2086217951","https://openalex.org/W2123179704","https://openalex.org/W2146948159","https://openalex.org/W2157289187","https://openalex.org/W2164101646","https://openalex.org/W2233309869","https://openalex.org/W2306172304","https://openalex.org/W2507988903","https://openalex.org/W2519157671","https://openalex.org/W2528177539","https://openalex.org/W2550674538","https://openalex.org/W2593363946","https://openalex.org/W2782613755","https://openalex.org/W2790004488","https://openalex.org/W2790629692","https://openalex.org/W2808080995","https://openalex.org/W2905986839","https://openalex.org/W2912065207","https://openalex.org/W2937353320","https://openalex.org/W2962901337","https://openalex.org/W2977055143","https://openalex.org/W2977594273","https://openalex.org/W2986031312","https://openalex.org/W2997114947","https://openalex.org/W2998906697","https://openalex.org/W3011255992","https://openalex.org/W3022349047","https://openalex.org/W3108023392","https://openalex.org/W3110530058","https://openalex.org/W3127481991","https://openalex.org/W3131407648","https://openalex.org/W3199925418","https://openalex.org/W3209776668","https://openalex.org/W3211187242","https://openalex.org/W4238029396","https://openalex.org/W4281694374","https://openalex.org/W4285495920","https://openalex.org/W4296205871","https://openalex.org/W4311167341","https://openalex.org/W4382117598"],"related_works":["https://openalex.org/W2015747722","https://openalex.org/W2362050182","https://openalex.org/W2382418233","https://openalex.org/W2369897927","https://openalex.org/W3031731056","https://openalex.org/W4293167957","https://openalex.org/W2361035307","https://openalex.org/W2380455807","https://openalex.org/W2993975634","https://openalex.org/W2375654925"],"abstract_inverted_index":{"AbstractWith":[0],"the":[1,9,29,32,36,41,44,55,73,83,91,103,133,140,144,157,162,167,177,184,201,214,241,258,328],"rapid":[2],"increase":[3],"of":[4,12,43,57,95,107,135,191,209,225,315,351,368],"high-speed":[5,13,84,193],"train":[6,14,38,85,194,197],"driving":[7,15,33,108,128,186,350],"automation,":[8],"human-computer":[10,275],"interaction":[11,171,355,401],"is":[16,19,49,255,307,361],"changing.":[17],"It":[18],"a":[20,25,112,286,298,309,362,380],"major":[21],"dilemma":[22],"to":[23,53,81,123,131],"maintain":[24],"well-interactive":[26],"process":[27,56,190],"between":[28,139],"driver":[30,120,178],"and":[31,97,126,143,181,230,288,297,319,335,372,385,388,403],"system":[34,59],"for":[35,101,118,149,405],"intelligent":[37],"operation.":[39],"Nevertheless,":[40],"enhancement":[42],"driver's":[45],"situation":[46],"awareness":[47],"(SA)":[48],"an":[50,67,289,386],"effective":[51],"way":[52],"promote":[54],"driver-driving":[58],"interaction.":[60],"To":[61],"achieve":[62],"this":[63,124],"purpose,":[64],"we":[65],"proposed":[66,111],"enhanced":[68,173],"SA":[69,93,104,121,136,164,174],"model":[70,76,79],"based":[71],"on":[72,236,400],"perceptual":[74],"cycle":[75],"(PCM).":[77],"The":[78,152,170],"helps":[80],"identify":[82],"DMI":[86],"interface":[87],"elements":[88],"that":[89,156],"affect":[90],"different":[92],"level":[94],"drivers":[96],"provides":[98],"theoretical":[99],"support":[100],"describing":[102],"change":[105,137],"pattern":[106],"tasks.":[109],"We":[110],"new":[113],"display":[114],"mode":[115,142,146,159],"(ESA":[116],"mode)":[117,148],"enhancing":[119],"according":[122],"model,":[125],"conducted":[127],"simulator":[129],"experiments":[130],"explore":[132],"differences":[134],"patterns":[138],"ESA":[141,158],"normal":[145],"(NSA":[147],"16":[150],"subjects.":[151],"experimental":[153],"results":[154],"showed":[155],"successfully":[160],"overcame":[161],"subjects'":[163],"recession":[165],"in":[166,200,244,252,261,280,331,342,356,382,391],"NSA":[168],"mode.":[169],"with":[172],"can":[175],"help":[176],"remain":[179],"vigilant":[180],"further":[182],"improve":[183],"general":[185],"performance":[187],"during":[188],"monotonous":[189],"automated":[192],"driving.Keywords:":[195],"High-speed":[196,352],"drivingSA":[198],"enhancementHuman":[199],"loopInterface":[202],"designAdaptive":[203],"automation":[204],"Disclosure":[205],"statementNo":[206],"potential":[207],"conflict":[208],"interest":[210],"was":[211,218],"reported":[212],"by":[213,220],"author(s).Additional":[215],"informationFundingThis":[216],"work":[217],"supported":[219],"National":[221],"Natural":[222,232],"Science":[223,233],"Foundation":[224,234],"China":[226,296],"under":[227],"Grant":[228],"No.62203039":[229],"Beijing":[231,248,251,265,302,322,338,341,375],"L201024.Notes":[235],"contributorsAobo":[237],"WangAobo":[238],"Wang":[239],"received":[240,285,327,379],"M.S.":[242,290,329,387],"degree":[243,260,291,300,330,390],"industrial":[245,383],"engineering":[246,263,334,393],"from":[247,292,301,337,394],"Jiaotong":[249,266,303,323,339,376],"University,":[250,267,294,304,340,396],"2020.":[253],"He":[254,306,378,398],"currently":[256,308],"pursuing":[257],"Ph.D.":[259,299,389],"mechanical":[262,392],"at":[264,311,321,364,374],"Beijing,":[268],"China.":[269,305,397],"His":[270,344],"current":[271,345],"research":[272,346],"interests":[273,347],"include":[274,348],"interaction,":[276],"human\u2013machine":[277],"function":[278],"allocation":[279],"railway":[281,357],"transportation.Beiyuan":[282],"GuoBeiyuan":[283],"Guo":[284],"B.S.":[287,381],"Chongqing":[293,395],"Chongqing,":[295],"professor":[310,363],"State":[312,365],"Key":[313,366],"Laboratory":[314,367],"Rail":[316,369],"Traffic":[317,370],"Control":[318,371],"Safety":[320,373],"University.Ziwang":[324],"YiZiwang":[325],"Yi":[326],"transportation":[332],"information":[333],"control":[336],"2022.":[343],"autonomous":[349],"trains,":[353],"human-machine":[354],"transportation.Weining":[358],"FangWeining":[359],"Fang":[360],"University.":[377],"design":[384,402],"focus":[399],"modeling":[404],"rail":[406],"transit.":[407]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
