{"title":"玩家类型:批判性评估","authors":"Suvi K. Holm","doi":"10.1145/3290607.3299084","DOIUrl":null,"url":null,"abstract":"The following extended abstract describes a research plan for and preliminary findings of a dissertation thesis on player types. The described four studies aim to answer to questions of what player types are, how it is possible to improve such categorizations, and whether player typologies based on self-reports can be validated by emotional responses during playing.","PeriodicalId":389485,"journal":{"name":"Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems","volume":"40 4","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Player Types of Gamers: Critical Evaluation\",\"authors\":\"Suvi K. Holm\",\"doi\":\"10.1145/3290607.3299084\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The following extended abstract describes a research plan for and preliminary findings of a dissertation thesis on player types. The described four studies aim to answer to questions of what player types are, how it is possible to improve such categorizations, and whether player typologies based on self-reports can be validated by emotional responses during playing.\",\"PeriodicalId\":389485,\"journal\":{\"name\":\"Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems\",\"volume\":\"40 4\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3290607.3299084\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3290607.3299084","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The following extended abstract describes a research plan for and preliminary findings of a dissertation thesis on player types. The described four studies aim to answer to questions of what player types are, how it is possible to improve such categorizations, and whether player typologies based on self-reports can be validated by emotional responses during playing.