{"id":"https://openalex.org/W2904225095","doi":"https://doi.org/10.1109/gcce.2018.8574626","title":"Blow Up Depression with In-Game TNTs","display_name":"Blow Up Depression with In-Game TNTs","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2904225095","doi":"https://doi.org/10.1109/gcce.2018.8574626","mag":"2904225095"},"language":"en","primary_location":{"id":"doi:10.1109/gcce.2018.8574626","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce.2018.8574626","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 7th Global Conference on Consumer Electronics (GCCE)","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/A5000280763","display_name":"Changeun Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Changeun Yang","raw_affiliation_strings":["Intelligent Computer Entertainment Laboratory Graduate School of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Computer Entertainment Laboratory Graduate School of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055829230","display_name":"Pujana Paliyawan","orcid":"https://orcid.org/0000-0002-2141-9746"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Pujana Paliyawan","raw_affiliation_strings":["Intelligent Computer Entertainment Laboratory Graduate School of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Computer Entertainment Laboratory Graduate School of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041453383","display_name":"Tomohiro Harada","orcid":"https://orcid.org/0000-0002-0704-4351"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomohiro Harada","raw_affiliation_strings":["Intelligent Computer Entertainment Laboratory Graduate School of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Computer Entertainment Laboratory Graduate School of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051359789","display_name":"Ruck Thawonmas","orcid":"https://orcid.org/0000-0001-9001-5828"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ruck Thawonmas","raw_affiliation_strings":["Intelligent Computer Entertainment Laboratory Graduate School of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Computer Entertainment Laboratory Graduate School of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I135768898"],"apc_list":null,"apc_paid":null,"fwci":4.2342,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.95656295,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"37","issue":null,"first_page":"820","last_page":"821"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12214","display_name":"Media Influence and Health","score":0.9415000081062317,"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"}},"topics":[{"id":"https://openalex.org/T12214","display_name":"Media Influence and Health","score":0.9415000081062317,"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"}},{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.9394999742507935,"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/affect","display_name":"Affect (linguistics)","score":0.833544909954071},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5852974653244019},{"id":"https://openalex.org/keywords/depression","display_name":"Depression (economics)","score":0.5300257802009583},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.4757356643676758},{"id":"https://openalex.org/keywords/video-game","display_name":"Video game","score":0.46822497248649597},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40356892347335815},{"id":"https://openalex.org/keywords/applied-psychology","display_name":"Applied psychology","score":0.400692343711853},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3456484377384186},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.332869291305542},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21388697624206543},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.15920156240463257},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.10321325063705444}],"concepts":[{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.833544909954071},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5852974653244019},{"id":"https://openalex.org/C2776867660","wikidata":"https://www.wikidata.org/wiki/Q1814941","display_name":"Depression (economics)","level":2,"score":0.5300257802009583},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4757356643676758},{"id":"https://openalex.org/C3018412434","wikidata":"https://www.wikidata.org/wiki/Q7889","display_name":"Video game","level":2,"score":0.46822497248649597},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40356892347335815},{"id":"https://openalex.org/C75630572","wikidata":"https://www.wikidata.org/wiki/Q538904","display_name":"Applied psychology","level":1,"score":0.400692343711853},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3456484377384186},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.332869291305542},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21388697624206543},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.15920156240463257},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.10321325063705444},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcce.2018.8574626","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce.2018.8574626","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 7th Global Conference on Consumer Electronics (GCCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2023105301","https://openalex.org/W2133990480","https://openalex.org/W2148905283","https://openalex.org/W2158524254","https://openalex.org/W2888089893","https://openalex.org/W4285719527","https://openalex.org/W4292994367"],"related_works":["https://openalex.org/W2560936962","https://openalex.org/W2788727012","https://openalex.org/W4388203630","https://openalex.org/W2526386912","https://openalex.org/W2410591377","https://openalex.org/W2323113755","https://openalex.org/W2506793457","https://openalex.org/W2359476398","https://openalex.org/W2356645659","https://openalex.org/W2738162359"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,30,47,75],"TNT-generation":[4],"system":[5],"in":[6,117],"Science":[7],"Birds,":[8],"an":[9,55],"Angry":[10],"Birds":[11],"clone,":[12],"which":[13],"is":[14,36,66],"aimed":[15],"to":[16,54,73],"help":[17],"spectators":[18],"maintain":[19],"healthy":[20],"emotion.":[21],"Interestingness-rating":[22],"data":[23,42],"on":[24],"TNT":[25],"explosions":[26,93,100,107],"are":[27,71],"collected":[28,41],"from":[29,39],"number":[31],"of":[32,46,49,86,134],"participants.":[33],"A":[34,63],"regressor":[35,115],"then":[37,67],"built":[38],"the":[40,60,87,92,95,99,102,106,109,114,124,131,135,147],"whose":[43],"input":[44],"consists":[45],"set":[48],"features":[50],"representing":[51],"effects":[52],"due":[53],"explosion":[56],"and":[57,80,137,141],"output":[58],"indicates":[59],"average":[61,97,104],"interestingness.":[62],"user":[64],"study":[65],"conducted":[68],"where":[69],"participants":[70,136],"asked":[72],"answer":[74],"questionnaire":[76],"measuring":[77],"their":[78],"positive":[79,132],"negative":[81,148],"affect":[82,133],"after":[83],"watching":[84],"each":[85],"three":[88],"gameplay":[89,126],"videos":[90,143],"-":[91,116],"with":[94,101,108],"highest":[96,110],"interestingness,":[98,105],"lowest":[103],"interestingness":[111],"predicted":[112],"by":[113],"counterbalanced":[118],"order.":[119],"Our":[120],"results":[121],"show":[122],"that":[123,138],"first":[125,140],"video":[127],"statistically":[128,144],"significantly":[129,145],"increases":[130],"both":[139],"third":[142],"decrease":[146],"affect.":[149]},"counts_by_year":[{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}