{"id":"https://openalex.org/W7125818188","doi":"https://doi.org/10.1145/3779153.3779166","title":"Emotion-Aware Level Generation via Player Telemetry -A Behavioral Data Analytics Approach in Speedrun Games","display_name":"Emotion-Aware Level Generation via Player Telemetry -A Behavioral Data Analytics Approach in Speedrun Games","publication_year":2025,"publication_date":"2025-11-07","ids":{"openalex":"https://openalex.org/W7125818188","doi":"https://doi.org/10.1145/3779153.3779166"},"language":null,"primary_location":{"id":"doi:10.1145/3779153.3779166","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3779153.3779166","pdf_url":null,"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 2025 9th International Conference on Big Data and Internet of Things","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3779153.3779166","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5123933497","display_name":"Xing Tu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Tu","raw_affiliation_strings":["School of Art and Design, Shenzhen University, Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0001-5242-4567","affiliations":[{"raw_affiliation_string":"School of Art and Design, Shenzhen University, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210152380"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123922696","display_name":"Qian Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I182722699","display_name":"Shenzhen Polytechnic University","ror":"https://ror.org/00d2w9g53","country_code":"CN","type":"education","lineage":["https://openalex.org/I182722699"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Yang","raw_affiliation_strings":["School of Business and Languages, Shenzhen Polytechnic University, Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0009-0003-4522-9300","affiliations":[{"raw_affiliation_string":"School of Business and Languages, Shenzhen Polytechnic University, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I182722699"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"83","last_page":"88"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.4415000081062317,"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":0.4415000081062317,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.4268999993801117,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12214","display_name":"Media Influence and Health","score":0.01940000057220459,"subfield":{"id":"https://openalex.org/subfields/1208","display_name":"Literature and Literary Theory"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/arousal","display_name":"Arousal","score":0.6722999811172485},{"id":"https://openalex.org/keywords/telemetry","display_name":"Telemetry","score":0.5756999850273132},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4237000048160553},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.33309999108314514},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.3077999949455261},{"id":"https://openalex.org/keywords/data-analysis","display_name":"Data analysis","score":0.30730000138282776}],"concepts":[{"id":"https://openalex.org/C36951298","wikidata":"https://www.wikidata.org/wiki/Q379784","display_name":"Arousal","level":2,"score":0.6722999811172485},{"id":"https://openalex.org/C183121708","wikidata":"https://www.wikidata.org/wiki/Q209867","display_name":"Telemetry","level":2,"score":0.5756999850273132},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5616000294685364},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4636000096797943},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4237000048160553},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3928000032901764},{"id":"https://openalex.org/C75630572","wikidata":"https://www.wikidata.org/wiki/Q538904","display_name":"Applied psychology","level":1,"score":0.3874000012874603},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.38370001316070557},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.33309999108314514},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.3077999949455261},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.30730000138282776},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.27730000019073486},{"id":"https://openalex.org/C6438553","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Affective computing","level":2,"score":0.26510000228881836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2635999917984009},{"id":"https://openalex.org/C169806903","wikidata":"https://www.wikidata.org/wiki/Q5937752","display_name":"Human error","level":2,"score":0.26350000500679016},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.259799987077713},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.25690001249313354},{"id":"https://openalex.org/C83804111","wikidata":"https://www.wikidata.org/wiki/Q1063558","display_name":"Behavioral pattern","level":2,"score":0.2506999969482422}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3779153.3779166","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3779153.3779166","pdf_url":null,"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 2025 9th International Conference on Big Data and Internet of Things","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3779153.3779166","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3779153.3779166","pdf_url":null,"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 2025 9th International Conference on Big Data and Internet of Things","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1964869099","https://openalex.org/W2030535845","https://openalex.org/W2050787672","https://openalex.org/W2117645142","https://openalex.org/W2149390557","https://openalex.org/W2149628368","https://openalex.org/W2167557160","https://openalex.org/W2534314849"],"related_works":[],"abstract_inverted_index":{"This":[0,70],"study":[1],"explores":[2],"the":[3,79],"relationship":[4],"between":[5],"player":[6,88],"behavior":[7],"and":[8,26,44,77],"emotional":[9,60],"arousal":[10,51],"in":[11],"a":[12,63],"custom-built":[13],"2D":[14],"speedrun":[15],"game.":[16],"Sixty":[17],"participants":[18],"completed":[19],"procedurally":[20],"generated":[21],"levels":[22],"while":[23],"in-game":[24],"telemetry":[25],"self-reported":[27],"affective":[28,74],"responses":[29],"were":[30],"collected.":[31],"Using":[32],"multiple":[33],"linear":[34],"regression,":[35],"we":[36],"identified":[37],"Retry":[38],"Count,":[39],"Hesitation":[40],"Time,":[41],"Average":[42],"Speed,":[43],"Error":[45],"Density":[46],"as":[47],"significant":[48],"predictors":[49],"of":[50,81],"levels.":[52],"The":[53],"results":[54],"highlight":[55],"how":[56],"micro-level":[57],"behaviors":[58],"reflect":[59],"intensity,":[61],"offering":[62],"foundation":[64],"for":[65],"emotion-aware":[66],"procedural":[67],"content":[68],"generation.":[69],"research":[71],"contributes":[72],"to":[73,87],"game":[75],"analytics":[76],"supports":[78],"development":[80],"adaptive":[82],"systems":[83],"that":[84],"respond":[85],"dynamically":[86],"states.":[89]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-01-28T00:00:00"}
