{"id":"https://openalex.org/W2900711741","doi":"https://doi.org/10.1007/s10758-018-9393-9","title":"Fueling Prediction of Player Decisions: Foundations of Feature Engineering for Optimized Behavior Modeling in Serious Games","display_name":"Fueling Prediction of Player Decisions: Foundations of Feature Engineering for Optimized Behavior Modeling in Serious Games","publication_year":2018,"publication_date":"2018-11-22","ids":{"openalex":"https://openalex.org/W2900711741","doi":"https://doi.org/10.1007/s10758-018-9393-9","mag":"2900711741"},"language":"en","primary_location":{"id":"doi:10.1007/s10758-018-9393-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10758-018-9393-9","pdf_url":null,"source":{"id":"https://openalex.org/S2764582272","display_name":"Technology Knowledge and Learning","issn_l":"2211-1662","issn":["2211-1662","2211-1670"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Technology, Knowledge and Learning","raw_type":"journal-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/A5108841497","display_name":"V. Elizabeth Owen","orcid":null},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"V. Elizabeth Owen","raw_affiliation_strings":["University of Wisconsin-Madison, Madison, USA"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison, Madison, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088695714","display_name":"Ryan S. Baker","orcid":"https://orcid.org/0000-0002-3051-3232"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ryan S. Baker","raw_affiliation_strings":["Graduate School of Education, University of Pennsylvania, Philadelphia, USA"],"affiliations":[{"raw_affiliation_string":"Graduate School of Education, University of Pennsylvania, Philadelphia, USA","institution_ids":["https://openalex.org/I79576946"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5108841497"],"corresponding_institution_ids":["https://openalex.org/I135310074"],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":null,"fwci":2.5554,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.89474958,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"25","issue":"2","first_page":"225","last_page":"250"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10731","display_name":"Educational Games and Gamification","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10731","display_name":"Educational Games and Gamification","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational 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/T11674","display_name":"Sports Analytics and Performance","score":0.987500011920929,"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/T11574","display_name":"Artificial Intelligence in Games","score":0.9872000217437744,"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":0.728329598903656},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6926212310791016},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.6485258936882019},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5970601439476013},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5796256065368652},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.5297642350196838},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5011885166168213},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.493191659450531},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47794345021247864},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.47214749455451965},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4452122151851654},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42922866344451904},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42865562438964844},{"id":"https://openalex.org/keywords/engineering-design-process","display_name":"Engineering design process","score":0.41639381647109985},{"id":"https://openalex.org/keywords/iterative-and-incremental-development","display_name":"Iterative and incremental development","score":0.411998450756073},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38882699608802795},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.1928844451904297},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18624505400657654},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.15991222858428955}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.728329598903656},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6926212310791016},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.6485258936882019},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5970601439476013},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5796256065368652},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.5297642350196838},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5011885166168213},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.493191659450531},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47794345021247864},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.47214749455451965},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4452122151851654},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42922866344451904},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42865562438964844},{"id":"https://openalex.org/C34972735","wikidata":"https://www.wikidata.org/wiki/Q2920267","display_name":"Engineering design process","level":2,"score":0.41639381647109985},{"id":"https://openalex.org/C143587482","wikidata":"https://www.wikidata.org/wiki/Q1543216","display_name":"Iterative and incremental development","level":2,"score":0.411998450756073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38882699608802795},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.1928844451904297},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18624505400657654},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.15991222858428955},{"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10758-018-9393-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10758-018-9393-9","pdf_url":null,"source":{"id":"https://openalex.org/S2764582272","display_name":"Technology Knowledge and Learning","issn_l":"2211-1662","issn":["2211-1662","2211-1670"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Technology, Knowledge and Learning","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5099999904632568}],"awards":[{"id":"https://openalex.org/G3166983425","display_name":null,"funder_award_id":"DRL-1119383","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W32243143","https://openalex.org/W56541613","https://openalex.org/W99120435","https://openalex.org/W100116554","https://openalex.org/W103004658","https://openalex.org/W179797448","https://openalex.org/W307940280","https://openalex.org/W627471747","https://openalex.org/W643967429","https://openalex.org/W785055124","https://openalex.org/W1511827303","https://openalex.org/W1583744980","https://openalex.org/W1594031697","https://openalex.org/W1898103075","https://openalex.org/W1972406314","https://openalex.org/W1978503757","https://openalex.org/W1980850924","https://openalex.org/W1995852894","https://openalex.org/W2008942609","https://openalex.org/W2063747225","https://openalex.org/W2063925016","https://openalex.org/W2106779500","https://openalex.org/W2135893370","https://openalex.org/W2136926201","https://openalex.org/W2159644498","https://openalex.org/W2161925087","https://openalex.org/W2170642728","https://openalex.org/W2315969544","https://openalex.org/W2331635791","https://openalex.org/W2343182824","https://openalex.org/W2345005171","https://openalex.org/W2470823987","https://openalex.org/W2525846909","https://openalex.org/W2574484182","https://openalex.org/W2577087649","https://openalex.org/W2903045326","https://openalex.org/W2914226013","https://openalex.org/W3085162807","https://openalex.org/W3128690923","https://openalex.org/W4253578872","https://openalex.org/W4285719527","https://openalex.org/W4292952947","https://openalex.org/W6607327788","https://openalex.org/W6630640431","https://openalex.org/W6713448304","https://openalex.org/W6759092750","https://openalex.org/W6843735874","https://openalex.org/W7048248141","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W2329500892","https://openalex.org/W28991112","https://openalex.org/W2370726991","https://openalex.org/W2369710579","https://openalex.org/W4327728159","https://openalex.org/W4394266730","https://openalex.org/W1990856605","https://openalex.org/W2053783616","https://openalex.org/W2473880552","https://openalex.org/W4318603215"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
