{"id":"https://openalex.org/W4362679456","doi":"https://doi.org/10.1145/3582437.3582453","title":"The Right Variety: Improving Expressive Range Analysis with Metric Selection Methods","display_name":"The Right Variety: Improving Expressive Range Analysis with Metric Selection Methods","publication_year":2023,"publication_date":"2023-04-11","ids":{"openalex":"https://openalex.org/W4362679456","doi":"https://doi.org/10.1145/3582437.3582453"},"language":"en","primary_location":{"id":"doi:10.1145/3582437.3582453","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3582437.3582453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th International Conference on the Foundations of Digital Games","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2304.02366","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006747557","display_name":"Oliver Withington","orcid":"https://orcid.org/0000-0002-7007-5193"},"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":true,"raw_author_name":"Oliver Withington","raw_affiliation_strings":["Queen Mary University of London, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-7007-5193","affiliations":[{"raw_affiliation_string":"Queen Mary University of London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","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, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-3118-5031","affiliations":[{"raw_affiliation_string":"Queen Mary University of London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006747557"],"corresponding_institution_ids":["https://openalex.org/I166337079"],"apc_list":null,"apc_paid":null,"fwci":0.852,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.7773614,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.9997000098228455,"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":0.9997000098228455,"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/T11674","display_name":"Sports Analytics and Performance","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9904000163078308,"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":0.7448427081108093},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.7297707200050354},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6642593741416931},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.567829430103302},{"id":"https://openalex.org/keywords/operationalization","display_name":"Operationalization","score":0.5660129189491272},{"id":"https://openalex.org/keywords/usable","display_name":"USable","score":0.563499927520752},{"id":"https://openalex.org/keywords/intuition","display_name":"Intuition","score":0.5281859636306763},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5180816650390625},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5090717673301697},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4806336462497711},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.42454594373703003},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4192831218242645},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3931986689567566},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.38756877183914185},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.35435235500335693},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1748236119747162},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.09189778566360474}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7448427081108093},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.7297707200050354},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6642593741416931},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.567829430103302},{"id":"https://openalex.org/C9354725","wikidata":"https://www.wikidata.org/wiki/Q286017","display_name":"Operationalization","level":2,"score":0.5660129189491272},{"id":"https://openalex.org/C2780615836","wikidata":"https://www.wikidata.org/wiki/Q2471869","display_name":"USable","level":2,"score":0.563499927520752},{"id":"https://openalex.org/C132010649","wikidata":"https://www.wikidata.org/wiki/Q189222","display_name":"Intuition","level":2,"score":0.5281859636306763},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5180816650390625},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5090717673301697},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4806336462497711},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.42454594373703003},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4192831218242645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3931986689567566},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38756877183914185},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35435235500335693},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1748236119747162},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09189778566360474},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3582437.3582453","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3582437.3582453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th International Conference on the Foundations of Digital Games","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2304.02366","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2304.02366","pdf_url":"https://arxiv.org/pdf/2304.02366","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/92640","is_oa":false,"landing_page_url":"https://qmro.qmul.ac.uk/xmlui/handle/123456789/92640","pdf_url":null,"source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2304.02366","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2304.02366","pdf_url":"https://arxiv.org/pdf/2304.02366","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4313961659","display_name":null,"funder_award_id":"EP/S022325/1","funder_id":"https://openalex.org/F4320337926","funder_display_name":"EPSRC Centre for Doctoral Training in Medical Imaging"}],"funders":[{"id":"https://openalex.org/F4320337926","display_name":"EPSRC Centre for Doctoral Training in Medical Imaging","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4362679456.pdf","grobid_xml":"https://content.openalex.org/works/W4362679456.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1541966139","https://openalex.org/W2002558294","https://openalex.org/W2086661052","https://openalex.org/W2103823214","https://openalex.org/W2725452496","https://openalex.org/W2753104841","https://openalex.org/W2901082336","https://openalex.org/W2902888275","https://openalex.org/W2960352216","https://openalex.org/W2962878123","https://openalex.org/W2976102139","https://openalex.org/W2976883600","https://openalex.org/W3009830825","https://openalex.org/W3041516304","https://openalex.org/W3089256472","https://openalex.org/W3094179449","https://openalex.org/W3161000077","https://openalex.org/W3175662569","https://openalex.org/W3206122975","https://openalex.org/W3206512104","https://openalex.org/W4280515527","https://openalex.org/W4285126103","https://openalex.org/W4296512970","https://openalex.org/W4296513003","https://openalex.org/W4307937019","https://openalex.org/W4313017248"],"related_works":["https://openalex.org/W2944277854","https://openalex.org/W2258359646","https://openalex.org/W2493324121","https://openalex.org/W4234402960","https://openalex.org/W4210958110","https://openalex.org/W2483613126","https://openalex.org/W4210994448","https://openalex.org/W4386824558","https://openalex.org/W2097838441","https://openalex.org/W204135935"],"abstract_inverted_index":{"Expressive":[0],"Range":[1],"Analysis":[2],"(ERA),":[3],"an":[4,138,143,178],"approach":[5,196],"for":[6,60,77,159,208],"visualising":[7],"the":[8,51,79,148,182,186,195],"output":[9,39],"of":[10,38,53,81,125,141,147,181,184,188],"Procedural":[11],"Content":[12],"Generation":[13],"(PCG)":[14],"systems,":[15],"is":[16,177],"widely":[17],"used":[18],"within":[19],"PCG":[20],"research":[21],"to":[22,28,64,68,116,118,171],"evaluate":[23],"and":[24,41,128,153,163,206,211],"compare":[25],"generators,":[26],"often":[27],"make":[29,202],"comparative":[30],"statements":[31],"about":[32],"their":[33],"relative":[34],"performance":[35],"in":[36,198],"terms":[37],"diversity":[40],"search":[42],"space":[43],"exploration.":[44],"Producing":[45],"a":[46,82,94],"standard":[47],"ERA":[48,145,189,203],"visualisation":[49],"requires":[50],"selection":[52,80,95,157],"two":[54],"metrics":[55],"which":[56],"can":[57,168,201],"be":[58,65,169],"calculated":[59],"all":[61,110],"generated":[62],"artefacts":[63],"visualised.":[66],"However,":[67],"our":[69],"knowledge":[70],"there":[71],"are":[72],"no":[73],"methodologies":[74],"or":[75,104],"heuristics":[76],"justifying":[78],"specific":[83],"metric":[84,126,161,190],"pair":[85],"over":[86],"alternatives.":[87],"Prior":[88],"work":[89,114],"has":[90,105],"typically":[91],"either":[92],"made":[93],"based":[96],"on":[97],"established":[98],"but":[99],"unjustified":[100],"norms,":[101],"designer":[102],"intuition,":[103],"produced":[106],"multiple":[107],"visualisations":[108],"across":[109],"possible":[111],"pairs.":[112],"This":[113],"aims":[115],"contribute":[117],"this":[119,176,199],"area":[120],"by":[121,129],"identifying":[122],"valuable":[123],"characteristics":[124,136],"pairings,":[127],"demonstrating":[130],"that":[131,133,194],"pairings":[132],"have":[134,137],"these":[135,166],"increased":[139],"probability":[140],"producing":[142],"informative":[144],"projection":[146],"underlying":[149],"generator.":[150],"We":[151],"introduce":[152],"investigate":[154],"three":[155],"quantifiable":[156],"criteria":[158,167],"assessing":[160],"pairs,":[162,191],"demonstrate":[164],"how":[165],"operationalized":[170],"rank":[172],"those":[173],"available.":[174],"Though":[175],"early":[179],"exploration":[180],"concept":[183],"quantifying":[185],"utility":[187],"we":[192],"argue":[193],"explored":[197],"paper":[200],"more":[204],"useful":[205],"usable":[207],"both":[209],"researchers":[210],"game":[212],"designers.":[213]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
