{"title":"Player type classification based on activity logs in a gamified seminar setting","authors":"S. Ohira, Natsumi Maeda, K. Nagao","doi":"10.1109/ICGGAG.2016.8052637","DOIUrl":null,"url":null,"abstract":"University laboratory seminars provide a good opportunity for a presenter and other participants to discuss academic subject matter. In our laboratory, we have integrated a gamification technique into our seminar recording system and have developed and operated a Gamified Discussion system that sustains and improves the motivation of students to actively participate in seminars and stimulates discussions by evaluating and visualizing the argumentative skills of students. However, classification of a participant's type is essential to the improvement of the system and detailed analyses of motivation. Here, we report the results of clustering for player type classification using activity logs collected from the system.","PeriodicalId":186199,"journal":{"name":"2016 1st International Conference on Game, Game Art, and Gamification (ICGGAG)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 1st International Conference on Game, Game Art, and Gamification (ICGGAG)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICGGAG.2016.8052637","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
University laboratory seminars provide a good opportunity for a presenter and other participants to discuss academic subject matter. In our laboratory, we have integrated a gamification technique into our seminar recording system and have developed and operated a Gamified Discussion system that sustains and improves the motivation of students to actively participate in seminars and stimulates discussions by evaluating and visualizing the argumentative skills of students. However, classification of a participant's type is essential to the improvement of the system and detailed analyses of motivation. Here, we report the results of clustering for player type classification using activity logs collected from the system.