{"id":"https://openalex.org/W4410237312","doi":"https://doi.org/10.1145/3723498.3723719","title":"Explaining and Clustering Playtraces Using Temporal Logics","display_name":"Explaining and Clustering Playtraces Using Temporal Logics","publication_year":2025,"publication_date":"2025-04-15","ids":{"openalex":"https://openalex.org/W4410237312","doi":"https://doi.org/10.1145/3723498.3723719"},"language":"en","primary_location":{"id":"doi:10.1145/3723498.3723719","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3723498.3723719","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3723498.3723719","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th International Conference on the Foundations of Digital Games","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3723498.3723719","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103038579","display_name":"Pablo Guti\u00e9rrez-S\u00e1nchez","orcid":"https://orcid.org/0000-0002-6702-5726"},"institutions":[{"id":"https://openalex.org/I121748325","display_name":"Universidad Complutense de Madrid","ror":"https://ror.org/02p0gd045","country_code":"ES","type":"education","lineage":["https://openalex.org/I121748325"]},{"id":"https://openalex.org/I97750245","display_name":"Software (Spain)","ror":"https://ror.org/02ethns06","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210087817","https://openalex.org/I97750245"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Pablo Guti\u00e9rrez-S\u00e1nchez","raw_affiliation_strings":["Software Engineering and Artificial Intelligence, Complutense University of Madrid, Madrid, Madrid, Spain"],"raw_orcid":"https://orcid.org/0000-0002-6702-5726","affiliations":[{"raw_affiliation_string":"Software Engineering and Artificial Intelligence, Complutense University of Madrid, Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I121748325","https://openalex.org/I97750245"]}]},{"author_position":"middle","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":"https://orcid.org/0000-0003-1958-0212","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/A5044149802","display_name":"Raluca D. Gaina","orcid":"https://orcid.org/0000-0002-0283-8312"},"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":"Raluca D Gaina","raw_affiliation_strings":["Queen Mary University of London, London, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-0283-8312","affiliations":[{"raw_affiliation_string":"Queen Mary University of London, London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.5175,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.92395264,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"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":0.9977999925613403,"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":0.9977999925613403,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9855999946594238,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9739999771118164,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.6218816041946411},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5920171737670898},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3335326910018921}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6218816041946411},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5920171737670898},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3335326910018921}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3723498.3723719","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3723498.3723719","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3723498.3723719","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th International Conference on the Foundations of Digital Games","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3723498.3723719","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3723498.3723719","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3723498.3723719","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th International Conference on the Foundations of Digital Games","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410237312.pdf","grobid_xml":"https://content.openalex.org/works/W4410237312.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1506935337","https://openalex.org/W1983770999","https://openalex.org/W1987971958","https://openalex.org/W2076343783","https://openalex.org/W2126316555","https://openalex.org/W2198447985","https://openalex.org/W2420245003","https://openalex.org/W2567705466","https://openalex.org/W2621540998","https://openalex.org/W2724523279","https://openalex.org/W2776875040","https://openalex.org/W2787109437","https://openalex.org/W2890854347","https://openalex.org/W2964074409","https://openalex.org/W2995074243","https://openalex.org/W3003444615","https://openalex.org/W3189373506","https://openalex.org/W4225511357","https://openalex.org/W4286696934","https://openalex.org/W4290943388","https://openalex.org/W4294578500","https://openalex.org/W4294982314","https://openalex.org/W4297585205","https://openalex.org/W4382239844","https://openalex.org/W4385285852","https://openalex.org/W4400525216"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,37,49,62,109,126,138,150,163,184,187,194],"challenge":[4],"of":[5,45,51,73,79,87,98,136,145,186,238],"explaining":[6],"gameplay":[7],"behaviours":[8],"and":[9,54,90,160],"traces":[10,89,99,172,226],"in":[11,48,82,102,134,149,209],"video":[12],"games":[13],"using":[14],"methods":[15,148,185],"based":[16,173],"on":[17,114,174,202],"linear":[18],"temporal":[19,71],"logics":[20],"(LTL).Applications":[21],"for":[22,219],"this":[23],"range":[24],"from":[25,84],"classifying":[26],"a":[27,43,70,74,80,85,95,118,143,167,203,234],"player's":[28],"game-style":[29],"to":[30,35,68,93,104,123,130,193],"craft":[31],"personalised":[32],"user":[33],"experiences,":[34],"exploring":[36],"most":[38],"significant":[39],"behaviour":[40,119],"patterns":[41,107,133],"within":[42,108],"set":[44,86,97],"trajectories,":[46],"particularly":[47],"context":[50],"data-driven":[52],"design":[53],"quality":[55],"control":[56],"assisted":[57],"by":[58,77],"black-box":[59],"algorithms.We":[60],"divide":[61],"problem":[63,112,128,189],"into":[64,100,179],"two":[65],"complementary":[66],"tasks.First,":[67],"infer":[69],"characterisation":[72],"registered":[75],"play-style":[76],"means":[78],"predicate":[81,152],"LTL":[83,151],"representative":[88],"potential":[91],"counterexamples.Second,":[92],"classify":[94],"diverse":[96],"groups":[101,135],"order":[103],"identify":[105],"behavioural":[106],"samples.The":[110],"first":[111,139,188],"focuses":[113],"recognising":[115],"what":[116],"makes":[117],"unique":[120],"when":[121],"compared":[122],"others,":[124],"while":[125],"second":[127],"seeks":[129],"detect":[131],"meaningful":[132],"players.For":[137],"task,":[140],"we":[141,165],"propose":[142],"series":[144],"heuristic":[146],"search":[147],"space,":[153],"such":[154],"as":[155],"Monte":[156],"Carlo":[157],"Tree":[158],"Search":[159],"Grammatical":[161],"Evolution.For":[162],"second,":[164],"introduce":[166],"new":[168],"algorithm":[169],"that":[170,176,229],"clusters":[171],"predicates":[175],"split":[177],"them":[178],"cohesive":[180],"sets,":[181],"demonstrating":[182],"how":[183,213],"can":[190,216,232],"be":[191,217],"extrapolated":[192],"latter.Both":[195],"approaches":[196],"are":[197],"evaluated":[198],"with":[199,223],"practical":[200],"experiments":[201],"3D":[204],"third-person":[205],"stealth":[206],"game":[207],"developed":[208],"Unity":[210],"3D,":[211],"showcasing":[212],"these":[214,230],"techniques":[215],"used":[218],"analysis.Preliminary":[220],"results":[221],"obtained":[222],"real":[224],"player":[225],"provide":[227],"evidence":[228],"methodologies":[231],"support":[233],"more":[235],"comprehensive":[236],"understanding":[237],"observed":[239],"behaviours.":[240]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}