{"id":"https://openalex.org/W3031866015","doi":"https://doi.org/10.1145/3334480.3382797","title":"All Fun and Games","display_name":"All Fun and Games","publication_year":2020,"publication_date":"2020-04-25","ids":{"openalex":"https://openalex.org/W3031866015","doi":"https://doi.org/10.1145/3334480.3382797","mag":"3031866015"},"language":"en","primary_location":{"id":"doi:10.1145/3334480.3382797","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3334480.3382797","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems","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/A5020048192","display_name":"Kai Holl\u00e4nder","orcid":null},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Kai Holl\u00e4nder","raw_affiliation_strings":["Ludwig Maximilian University of Munich, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Ludwig Maximilian University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I8204097"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051599190","display_name":"Luca Schellenberg","orcid":null},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Luca Schellenberg","raw_affiliation_strings":["Ludwig Maximilian University of Munich, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Ludwig Maximilian University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I8204097"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044564680","display_name":"Changkun Ou","orcid":"https://orcid.org/0000-0002-4595-7485"},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Changkun Ou","raw_affiliation_strings":["Ludwig Maximilian University of Munich, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Ludwig Maximilian University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I8204097"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063555642","display_name":"Andreas Butz","orcid":"https://orcid.org/0000-0002-9007-9888"},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Butz","raw_affiliation_strings":["Ludwig Maximilian University of Munich, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Ludwig Maximilian University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I8204097"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5020048192"],"corresponding_institution_ids":["https://openalex.org/I8204097"],"apc_list":null,"apc_paid":null,"fwci":0.7061,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.69364928,"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":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9991000294685364,"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/T10370","display_name":"Traffic and Road Safety","score":0.9962000250816345,"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/pedestrian","display_name":"Pedestrian","score":0.7745327949523926},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7624461650848389},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.507614016532898},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44427797198295593},{"id":"https://openalex.org/keywords/virtual-machine","display_name":"Virtual machine","score":0.4210958480834961},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40903106331825256},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.1882299780845642},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13148123025894165}],"concepts":[{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.7745327949523926},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7624461650848389},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.507614016532898},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44427797198295593},{"id":"https://openalex.org/C25344961","wikidata":"https://www.wikidata.org/wiki/Q192726","display_name":"Virtual machine","level":2,"score":0.4210958480834961},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40903106331825256},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.1882299780845642},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13148123025894165},{"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:10.1145/3334480.3382797","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3334480.3382797","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1458210","https://openalex.org/W1987194151","https://openalex.org/W1990242729","https://openalex.org/W2009093356","https://openalex.org/W2045783520","https://openalex.org/W2061213243","https://openalex.org/W2099248653","https://openalex.org/W2106350238","https://openalex.org/W2106866030","https://openalex.org/W2141282920","https://openalex.org/W2179427518","https://openalex.org/W2504733833","https://openalex.org/W2756874185","https://openalex.org/W2759166613","https://openalex.org/W2782064812","https://openalex.org/W2810931617","https://openalex.org/W2893617177","https://openalex.org/W2903870308","https://openalex.org/W2913206595","https://openalex.org/W2973648487","https://openalex.org/W2991484432","https://openalex.org/W4239127880"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4313488044","https://openalex.org/W3107602296","https://openalex.org/W3209574120","https://openalex.org/W4312192474","https://openalex.org/W4210805261"],"abstract_inverted_index":{"Automated":[0],"cars":[1],"will":[2],"need":[3],"to":[4,10,43,51,68,110,137,161],"observe":[5],"pedestrians":[6],"and":[7,41,72,100,107,125,129],"react":[8],"adequately":[9],"their":[11],"behavior":[12,113,121],"when":[13,148],"driving":[14],"in":[15,64,83,91,115,123,157],"urban":[16],"areas.":[17],"Judging":[18],"pedestrian":[19,163],"behavior,":[20],"however,":[21],"is":[22,36,39],"hard.":[23],"When":[24],"approaching":[25],"it":[26],"by":[27,62],"machine":[28,139],"learning":[29,140],"methods,":[30],"large":[31],"amounts":[32],"of":[33,79,97,103],"training":[34],"data":[35,81,106,133],"needed,":[37],"which":[38,65],"costly":[40],"difficult":[42],"obtain,":[44],"especially":[45],"for":[46,142],"critical":[47,73],"situations.":[48],"In":[49],"order":[50],"provide":[52],"such":[53,84],"data,":[54],"we":[55],"have":[56,67],"developed":[57],"an":[58,101],"online":[59],"game":[60,99,132],"inspired":[61],"Frogger,":[63],"players":[66],"cross":[69],"streets.":[70],"Accidents":[71],"situations":[74],"are":[75],"a":[76,85,150],"natural":[77],"part":[78],"the":[80,95,104],"produced":[82],"way":[86],"without":[87],"anybody":[88],"getting":[89],"hurt":[90],"reality.":[92],"We":[93,118],"present":[94],"design":[96],"our":[98],"analysis":[102],"resulting":[105],"its":[108],"match":[109],"real":[111,124,144],"world":[112],"observed":[114],"previous":[116],"work.":[117],"found":[119],"that":[120,131],"patterns":[122],"virtual":[126],"environments":[127],"correlated":[128],"argue":[130],"could":[134,154],"be":[135,155],"used":[136,156],"train":[138],"algorithms":[141],"predicting":[143],"pedestrians'":[145],"walking":[146],"trajectories":[147],"crossing":[149],"road.":[151],"This":[152],"approach":[153],"future":[158],"automated":[159],"vehicles":[160],"increase":[162],"safety.":[164]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2020-06-05T00:00:00"}
