{"title":"基于游戏化研讨会设置中的活动日志的玩家类型分类","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":"{\"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}","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}
Player type classification based on activity logs in a gamified seminar setting
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.