{"id":"https://openalex.org/W2892300795","doi":"https://doi.org/10.1145/3235765.3235797","title":"Studying believability assessment in racing games","display_name":"Studying believability assessment in racing games","publication_year":2018,"publication_date":"2018-08-07","ids":{"openalex":"https://openalex.org/W2892300795","doi":"https://doi.org/10.1145/3235765.3235797","mag":"2892300795"},"language":"en","primary_location":{"id":"doi:10.1145/3235765.3235797","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3235765.3235797","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on the Foundations of Digital Games","raw_type":"proceedings-article"},"type":"conference-paper","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/A5031131914","display_name":"Cristiana Pacheco","orcid":null},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Cristiana Pacheco","raw_affiliation_strings":["Queen Mary University of London, London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Queen Mary University of London, London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006187169","display_name":"Laurissa Tokarchuk","orcid":"https://orcid.org/0000-0002-3118-5031"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Laurissa Tokarchuk","raw_affiliation_strings":["Queen Mary University of London, London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Queen Mary University of London, London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058274276","display_name":"Diego P\u00e9rez-Li\u00e9bana","orcid":"https://orcid.org/0000-0003-1958-0212"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Diego P\u00e9rez-Li\u00e9bana","raw_affiliation_strings":["Queen Mary University of London, London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Queen Mary University of London, London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I166337079"],"apc_list":null,"apc_paid":null,"fwci":0.6791,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.75336177,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11574","display_name":"Artificial Intelligence in Games","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11197","display_name":"Digital Games and Media","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9858999848365784,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.7024519443511963},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6367255449295044},{"id":"https://openalex.org/keywords/turing","display_name":"Turing","score":0.5446010828018188},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5048900246620178},{"id":"https://openalex.org/keywords/video-game","display_name":"Video game","score":0.4768829941749573},{"id":"https://openalex.org/keywords/competition","display_name":"Competition (biology)","score":0.4527937173843384},{"id":"https://openalex.org/keywords/turns-rounds-and-time-keeping-systems-in-games","display_name":"Turns, rounds and time-keeping systems in games","score":0.4398883283138275},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.43006134033203125},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.39650145173072815},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38468119502067566},{"id":"https://openalex.org/keywords/game-mechanics","display_name":"Game mechanics","score":0.3239368796348572},{"id":"https://openalex.org/keywords/video-game-design","display_name":"Video game design","score":0.3199491798877716},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.2422555387020111}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7024519443511963},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6367255449295044},{"id":"https://openalex.org/C9870796","wikidata":"https://www.wikidata.org/wiki/Q490481","display_name":"Turing","level":2,"score":0.5446010828018188},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5048900246620178},{"id":"https://openalex.org/C3018412434","wikidata":"https://www.wikidata.org/wiki/Q7889","display_name":"Video game","level":2,"score":0.4768829941749573},{"id":"https://openalex.org/C91306197","wikidata":"https://www.wikidata.org/wiki/Q45767","display_name":"Competition (biology)","level":2,"score":0.4527937173843384},{"id":"https://openalex.org/C56694532","wikidata":"https://www.wikidata.org/wiki/Q4421045","display_name":"Turns, rounds and time-keeping systems in games","level":4,"score":0.4398883283138275},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.43006134033203125},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.39650145173072815},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38468119502067566},{"id":"https://openalex.org/C170828538","wikidata":"https://www.wikidata.org/wiki/Q1751513","display_name":"Game mechanics","level":2,"score":0.3239368796348572},{"id":"https://openalex.org/C47187476","wikidata":"https://www.wikidata.org/wiki/Q12336660","display_name":"Video game design","level":3,"score":0.3199491798877716},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.2422555387020111},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3235765.3235797","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3235765.3235797","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on the Foundations of Digital Games","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2612525633","display_name":"EPSRC Centre for Doctoral Training in Intelligent Games & Game Intelligence (IGGI)","funder_award_id":"EP/L015846/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W835256392","https://openalex.org/W1518553298","https://openalex.org/W1561555069","https://openalex.org/W1573197362","https://openalex.org/W1837130728","https://openalex.org/W1968909098","https://openalex.org/W1972661656","https://openalex.org/W1982772294","https://openalex.org/W2010843562","https://openalex.org/W2015302753","https://openalex.org/W2031734221","https://openalex.org/W2033406830","https://openalex.org/W2050748628","https://openalex.org/W2060392407","https://openalex.org/W2067279781","https://openalex.org/W2134031328","https://openalex.org/W2145482038","https://openalex.org/W2151162056","https://openalex.org/W2151679348","https://openalex.org/W2169740139","https://openalex.org/W2251410821","https://openalex.org/W2789184669","https://openalex.org/W2892502546","https://openalex.org/W4231809946"],"related_works":["https://openalex.org/W2086822623","https://openalex.org/W4389102039","https://openalex.org/W571219209","https://openalex.org/W4295008850","https://openalex.org/W4236179798","https://openalex.org/W2064490186","https://openalex.org/W4381199393","https://openalex.org/W160949429","https://openalex.org/W2735760507","https://openalex.org/W3208860902"],"abstract_inverted_index":{"Believability":[0],"is":[1,22,143,185,214,229,232],"a":[2,53,79,179],"hard":[3],"concept":[4],"to":[5,18,33,50,113,144,177,215,218],"define":[6],"in":[7,40,89,101,169,222],"video":[8,102],"games.":[9,103],"It":[10],"depends":[11],"on":[12,45,59,81,234],"how":[13,132,161,211,226],"and":[14,67,78,110,155,165,210,237],"what":[15],"one":[16],"considers":[17],"be":[19,151,216],"\"believable\",":[20],"which":[21,47],"often":[23],"very":[24],"subjective.":[25],"In":[26,175],"previous":[27],"years,":[28],"several":[29],"researchers":[30],"have":[31,201],"tried":[32],"find":[34],"ways":[35,148],"of":[36,56,75,98,140,207,241],"assessing":[37],"such":[38,122],"concepts":[39,221],"games":[41,192],"through":[42,107],"Turing":[43],"Tests":[44],"agents,":[46],"were":[48],"programmed":[49],"behave":[51],"like":[52],"human":[54],"instead":[55],"focusing":[57],"only":[58],"winning.":[60],"Examples":[61],"are":[62,167],"the":[63,68,72,83,87,134,146,173,183,204,208,239,242],"Mario":[64],"AI":[65],"Competition":[66],"2K":[69],"BotPrize.":[70],"Given":[71],"small":[73],"pool":[74],"explored":[76],"parameters":[77,120,200],"focus":[80],"programming":[82],"bots":[84],"rather":[85,125,193],"than":[86,126,194],"assessment,":[88],"this":[90,141],"paper":[91],"we":[92,117],"present":[93],"work":[94],"examining":[95],"different":[96,119,147,190],"methods":[97],"evaluating":[99],"believability":[100,106,149,231],"We":[104],"explore":[105],"recorded":[108],"gameplay":[109],"allow":[111],"judges":[112],"analyze":[114,145],"it.":[115],"However,":[116],"use":[118],"-":[121,129],"as":[123],"ranking":[124],"binary":[127],"answers":[128],"for":[130,153],"asking":[131],"human-like":[133],"presented":[135],"behaviours":[136],"are.":[137],"The":[138],"objective":[139],"study":[142,184,209],"can":[150],"assessed,":[152],"humans":[154],"non-player":[156],"characters":[157],"(NPCs)":[158],"by":[159],"comparing":[160],"results":[162,206],"between":[163],"them":[164],"scores":[166],"affected":[168],"both":[170],"when":[171],"changing":[172],"parameters.":[174],"order":[176],"provide":[178],"more":[180],"general":[181],"analysis,":[182],"carried":[186],"out":[187],"using":[188],"two":[189],"racing":[191],"one.":[195],"Results":[196],"show":[197],"that":[198,230],"these":[199,220],"indeed":[202],"changed":[203],"overall":[205],"important":[212],"it":[213,228],"able":[217],"generalize":[219],"game":[223,236],"AI,":[224],"given":[225],"clear":[227],"dependent":[233],"genre,":[235],"even":[238],"design":[240],"questionnaire.":[243]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}