{"id":"https://openalex.org/W2057916033","doi":"https://doi.org/10.1145/2658537.2661299","title":"Predicting the metascore with a subjective user experience data","display_name":"Predicting the metascore with a subjective user experience data","publication_year":2014,"publication_date":"2014-10-19","ids":{"openalex":"https://openalex.org/W2057916033","doi":"https://doi.org/10.1145/2658537.2661299","mag":"2057916033"},"language":"en","primary_location":{"id":"doi:10.1145/2658537.2661299","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2658537.2661299","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the first ACM SIGCHI annual symposium on Computer-human interaction in play","raw_type":"proceedings-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/A5004892265","display_name":"Jari Takatalo","orcid":null},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Jari M.E. Takatalo","raw_affiliation_strings":["University of Helsinki, Helsinki, Finland"],"affiliations":[{"raw_affiliation_string":"University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063395755","display_name":"Jukka H\u00e4kkinen","orcid":"https://orcid.org/0000-0003-0215-2238"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Jukka P. H\u00e4kkinen","raw_affiliation_strings":["University of Helsinki, Helsinki, Finland"],"affiliations":[{"raw_affiliation_string":"University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5004892265"],"corresponding_institution_ids":["https://openalex.org/I133731052"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12358096,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"441","last_page":"442"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10648","display_name":"Virtual Reality Applications and Impacts","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10648","display_name":"Virtual Reality Applications and Impacts","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.9915000200271606,"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/T10731","display_name":"Educational Games and Gamification","score":0.9649999737739563,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6844556331634521},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.6576629281044006},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.5892035365104675},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.524004340171814},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.48265010118484497},{"id":"https://openalex.org/keywords/user-experience-design","display_name":"User experience design","score":0.4822583794593811},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.420657217502594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39662399888038635},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38232430815696716},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3518587350845337},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10989511013031006},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.07804855704307556}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6844556331634521},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.6576629281044006},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.5892035365104675},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.524004340171814},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.48265010118484497},{"id":"https://openalex.org/C201025465","wikidata":"https://www.wikidata.org/wiki/Q11248500","display_name":"User experience design","level":2,"score":0.4822583794593811},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.420657217502594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39662399888038635},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38232430815696716},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3518587350845337},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10989511013031006},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.07804855704307556},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2658537.2661299","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2658537.2661299","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the first ACM SIGCHI annual symposium on Computer-human interaction in play","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4099999964237213,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W10602317","https://openalex.org/W24166622","https://openalex.org/W94164628","https://openalex.org/W1494192578","https://openalex.org/W2017769397","https://openalex.org/W2238310380"],"related_works":["https://openalex.org/W2118155885","https://openalex.org/W2163515958","https://openalex.org/W2585070004","https://openalex.org/W2064642875","https://openalex.org/W2385262044","https://openalex.org/W1993155773","https://openalex.org/W1542160526","https://openalex.org/W2209020923","https://openalex.org/W4302293088","https://openalex.org/W1779784737"],"abstract_inverted_index":{"The":[0,23,72],"aim":[1],"of":[2,19,31,36,77],"this":[3,84],"study":[4],"is":[5,29],"to":[6,51,64],"test":[7,65],"how":[8],"well":[9],"a":[10,20,37,66,90],"subjective":[11,61],"user":[12],"experience":[13],"(UX)":[14],"data":[15,63],"predicts":[16],"the":[17,27,32,53,78,81,110],"Metascore":[18,24,54,92],"digital":[21],"game.":[22],"calculated":[25],"by":[26],"Metacritic.com":[28],"one":[30],"most":[33],"important":[34],"indicators":[35],"game's":[38],"commercial":[39],"success.":[40],"Thus,":[41],"game":[42],"companies":[43],"are":[44],"interested":[45],"in":[46],"finding":[47],"reliable":[48],"in-house":[49],"tools":[50],"estimate":[52],"before":[55],"releasing":[56],"their":[57],"product.":[58],"We":[59],"utilized":[60],"survey":[62],"preliminary":[67],"regression":[68],"model":[69,73],"for":[70,106],"Metascore.":[71],"explained":[74],"over":[75],"50%":[76],"variance":[79],"between":[80],"Metascores.":[82],"Practically,":[83],"means":[85],"that":[86],"we":[87],"can":[88],"predict":[89],"correct":[91],"class":[93],"(e.g.,":[94],"universal":[95],"acclaim)":[96],"with":[97],"75%":[98],"accuracy.":[99],"These":[100],"promising":[101],"results":[102],"provide":[103],"good":[104],"grounds":[105],"future":[107],"research":[108],"on":[109],"topic.":[111]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}