{"id":"https://openalex.org/W1992795052","doi":"https://doi.org/10.1109/geoinformatics.2010.5568107","title":"Cognitive experiment based on the landmark of determine directions: Take haidian District in Beijing for example","display_name":"Cognitive experiment based on the landmark of determine directions: Take haidian District in Beijing for example","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W1992795052","doi":"https://doi.org/10.1109/geoinformatics.2010.5568107","mag":"1992795052"},"language":"en","primary_location":{"id":"doi:10.1109/geoinformatics.2010.5568107","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2010.5568107","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 18th International Conference on Geoinformatics","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/A5100392629","display_name":"Tong Liu","orcid":"https://orcid.org/0000-0001-9556-6856"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tong Liu","raw_affiliation_strings":["Key Laboratory of 3D Information Acquisition and Application of Ministry of Education, Capital Normal University, Beijing, China","[Key Laboratory of 3D Information Acquisition and Application of Ministry of Education, Capital Normal University, Beijing, China]"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of 3D Information Acquisition and Application of Ministry of Education, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"[Key Laboratory of 3D Information Acquisition and Application of Ministry of Education, Capital Normal University, Beijing, China]","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085936863","display_name":"Jing Zhang","orcid":"https://orcid.org/0000-0002-2469-0195"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Zhang","raw_affiliation_strings":["Key Laboratory of 3D Information Acquisition and Application of Ministry of Education, Beijing Municipal Key Laboratory of Resources Environment and GIS, Capital Normal University, Beijing, China","Key Laboratory of 3D Information Acquisition and Application of Ministry of Education, Beijing Municipal, Key Laboratory of Resources Environment and GIS, Capital Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of 3D Information Acquisition and Application of Ministry of Education, Beijing Municipal Key Laboratory of Resources Environment and GIS, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"Key Laboratory of 3D Information Acquisition and Application of Ministry of Education, Beijing Municipal, Key Laboratory of Resources Environment and GIS, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100392629"],"corresponding_institution_ids":["https://openalex.org/I96852419"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19997079,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"23","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11904","display_name":"Spatial Cognition and Navigation","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11904","display_name":"Spatial Cognition and Navigation","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9545000195503235,"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":0.9340000152587891,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/beijing","display_name":"Beijing","score":0.9453630447387695},{"id":"https://openalex.org/keywords/landmark","display_name":"Landmark","score":0.9428616166114807},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6470524072647095},{"id":"https://openalex.org/keywords/capital-city","display_name":"Capital city","score":0.5315834283828735},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.527214527130127},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.4586295187473297},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4372313618659973},{"id":"https://openalex.org/keywords/presentation","display_name":"Presentation (obstetrics)","score":0.41956621408462524},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.40624696016311646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37717366218566895},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2880585491657257},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08855041861534119}],"concepts":[{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.9453630447387695},{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.9428616166114807},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6470524072647095},{"id":"https://openalex.org/C2994052530","wikidata":"https://www.wikidata.org/wiki/Q5119","display_name":"Capital city","level":2,"score":0.5315834283828735},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.527214527130127},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.4586295187473297},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4372313618659973},{"id":"https://openalex.org/C2777601897","wikidata":"https://www.wikidata.org/wiki/Q3409113","display_name":"Presentation (obstetrics)","level":2,"score":0.41956621408462524},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.40624696016311646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37717366218566895},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2880585491657257},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08855041861534119},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C26271046","wikidata":"https://www.wikidata.org/wiki/Q187097","display_name":"Economic geography","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/geoinformatics.2010.5568107","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2010.5568107","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 18th International Conference on Geoinformatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2025721396","https://openalex.org/W2074721105"],"related_works":["https://openalex.org/W2056853153","https://openalex.org/W2057559274","https://openalex.org/W2355428695","https://openalex.org/W2003617055","https://openalex.org/W3124515075","https://openalex.org/W4206453205","https://openalex.org/W2383034987","https://openalex.org/W2354277880","https://openalex.org/W4362503075","https://openalex.org/W394523716"],"abstract_inverted_index":{"Beijing":[0,6,144],"is":[1,73,98,112],"the":[2,23,37,61,95,99,109,118,121,131,140,149,153,161,164,169,173,189,200,203,244,256],"capital":[3],"of":[4,20,30,35,39,120,125,156,163,172,202,243],"China,":[5],"has":[7,27,211,238,250],"a":[8,13,17,32,45,85,251],"very":[9],"large":[10],"area":[11],"as":[12,44,145],"city":[14],"is,":[15],"with":[16,67],"huge":[18,33],"number":[19,34],"population,":[21],"at":[22,187],"same":[24],"time,":[25],"it":[26],"well-developed":[28],"lines":[29],"communication,":[31],"buildings,":[36],"system":[38],"buildings":[40,100],"also":[41,237],"extremely":[42],"complex,":[43],"result,":[46],"there":[47,210,236],"would":[48],"be":[49],"so":[50,212],"many":[51,213,230],"obstacles":[52],"for":[53,60,134],"people":[54,62,129],"to":[55,77,88,90,104,114,127,183,222,227],"cognitive":[56,86],"this":[57,68,70,78,82,92,137,157,185,193,208,216,219,233,248],"areas,":[58],"especially":[59],"who":[63],"are":[64,102],"not":[65],"familiar":[66],"city,":[69],"barrier":[71],"performance":[72],"in":[74,81,143,168,176,207,218,232,246,255],"particular.":[75],"Face":[76],"special":[79],"situation,":[80,93],"paper":[83],"presents":[84],"test":[87],"try":[89],"resolve":[91],"through":[94],"landmarks":[96],"which":[97,111],"that":[101,192],"easy":[103,113],"observe":[105],"and":[106,123,152,159,197,225],"recognize,":[107,115],"select":[108,139],"building":[110],"then":[116],"using":[117],"position":[119],"landmark":[122,165],"location":[124,133,201],"experiments":[126],"help":[128],"determine":[130],"general":[132],"them.":[135],"In":[136,205],"paper,":[138],"Haidian":[141,174],"District":[142,175],"an":[146],"example,":[147],"presentation":[148],"brief":[150],"preparation":[151],"main":[154],"steps":[155],"experiment,":[158,234],"introduced":[160],"rules":[162],"classification.":[166],"Finally,":[167],"different":[170],"part":[171],"Beijing,":[177],"10":[178],"volunteers":[179],"were":[180],"selected":[181],"randomly":[182],"do":[184],"research,":[186],"last,":[188],"results":[190],"shows":[191],"method":[194,249],"can":[195],"quickly":[196],"efficiently":[198],"locate":[199],"experimenter.":[204],"addition,":[206,247],"article,":[209],"shortcomings":[214],"illustrates":[215],"approach":[217],"research":[220],"need":[221],"standard":[223],"setting":[224],"Continuous":[226],"Improve,":[228],"although":[229],"defect":[231],"but":[235],"much":[239],"more":[240],"development":[241,253],"space":[242],"method,":[245],"promising":[252],"prospects":[254],"tourism":[257],"city.":[258]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}