D. B. Palhano, Liliane dos S. Machado, A. A. F. de Almeida
{"title":"Paki Mirabolandia: A Serious Game to Identify Player Personality","authors":"D. B. Palhano, Liliane dos S. Machado, A. A. F. de Almeida","doi":"10.1109/SeGAH49190.2020.9201759","DOIUrl":null,"url":null,"abstract":"Serious Games (SG) use playability to achieve specific goals in a playful way. Players profiles are directly influenced by personality constructs and affects their choices. Thus, it is important to consider player personality for SG design and adaptation. There are no published studies presenting SG as a tool to identify personality with Big Five Factors (BFF) model nor using an Item Response Theory (IRT) - based intelligence system. The aim of this work was to develop a SG to automatically identify player's personalities, using an intelligence system based on IRT and evaluate the convergent and divergent validity of the SG via Classical Theory Test (CTT). The kernel of the SG intelligence system uses IRT to calculate player's latent personality trait. The trait Conscientiousness was approached in the present work. A study was conducted with a 29 subject sample of all genders. The SG was capable to identify their personality trait and the IRT intelligence system proposed is adequate. Also, evidence of convergent and divergent validity was found, reaching the aim of this work. However, more activities will be developed, toward the comprehension of more personality traits. This is a necessary step for advances to SG development providing automatic identification of player's personality based on their actions.","PeriodicalId":114954,"journal":{"name":"2020 IEEE 8th International Conference on Serious Games and Applications for Health (SeGAH)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 8th International Conference on Serious Games and Applications for Health (SeGAH)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SeGAH49190.2020.9201759","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Serious Games (SG) use playability to achieve specific goals in a playful way. Players profiles are directly influenced by personality constructs and affects their choices. Thus, it is important to consider player personality for SG design and adaptation. There are no published studies presenting SG as a tool to identify personality with Big Five Factors (BFF) model nor using an Item Response Theory (IRT) - based intelligence system. The aim of this work was to develop a SG to automatically identify player's personalities, using an intelligence system based on IRT and evaluate the convergent and divergent validity of the SG via Classical Theory Test (CTT). The kernel of the SG intelligence system uses IRT to calculate player's latent personality trait. The trait Conscientiousness was approached in the present work. A study was conducted with a 29 subject sample of all genders. The SG was capable to identify their personality trait and the IRT intelligence system proposed is adequate. Also, evidence of convergent and divergent validity was found, reaching the aim of this work. However, more activities will be developed, toward the comprehension of more personality traits. This is a necessary step for advances to SG development providing automatic identification of player's personality based on their actions.