Knowledge-Based Filtering Recommender System to Propose Design Elements of Serious Game

Fransiska Utami Dewi Laseno, B. Hendradjaya
{"title":"Knowledge-Based Filtering Recommender System to Propose Design Elements of Serious Game","authors":"Fransiska Utami Dewi Laseno, B. Hendradjaya","doi":"10.1109/ICEEI47359.2019.8988797","DOIUrl":null,"url":null,"abstract":"Design elements of serious game recommender system is a web-based software to propose design elements of serious game to the system users. Design elements of serious game are components that required to design serious game such as features and game mechanics. The research about recommender system for design elements of serious game is a relatively new research in serious game domain because research about recommendation system mainly for game players not for game designers. Many things need to be considered by serious game developer to make a game which can help the players to learn something. The recommender system helped serious game developers to determine the design elements of the game from the learning content to make the game. The domain data are analyzed from the relationship of Bloom Digital Taxonomy with game genres and game mechanism. The system is developed using knowledge-based: case and constraint-based filtering. Case-based filtering is used to find similar serious game examples from the user input of learning goal, target rating, and target player. Constraint-based filtering is used to search recommendation from the knowledge base. To get recommendation from the recommender system, user need to input learning goal to the system, and the results are recommendation of serious game mechanics and features. The level of success of the recommendation system is measured by input some constraints into the system and match the constraints with the result of recommendation produced by the system. Furthermore, crosscheck of the system functionalities was done to evaluate the system. According to the evaluation result, design elements of serious game recommender system was able to provide game mechanics and game features as the base of serious game designing which suitable with the learning content. Another result of evaluation showed that the design of the recommender system could be developed to be a design elements of serious game recommender system to propose design elements of serious game that match with the learning contents.","PeriodicalId":236517,"journal":{"name":"2019 International Conference on Electrical Engineering and Informatics (ICEEI)","volume":"378 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Electrical Engineering and Informatics (ICEEI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEEI47359.2019.8988797","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

Design elements of serious game recommender system is a web-based software to propose design elements of serious game to the system users. Design elements of serious game are components that required to design serious game such as features and game mechanics. The research about recommender system for design elements of serious game is a relatively new research in serious game domain because research about recommendation system mainly for game players not for game designers. Many things need to be considered by serious game developer to make a game which can help the players to learn something. The recommender system helped serious game developers to determine the design elements of the game from the learning content to make the game. The domain data are analyzed from the relationship of Bloom Digital Taxonomy with game genres and game mechanism. The system is developed using knowledge-based: case and constraint-based filtering. Case-based filtering is used to find similar serious game examples from the user input of learning goal, target rating, and target player. Constraint-based filtering is used to search recommendation from the knowledge base. To get recommendation from the recommender system, user need to input learning goal to the system, and the results are recommendation of serious game mechanics and features. The level of success of the recommendation system is measured by input some constraints into the system and match the constraints with the result of recommendation produced by the system. Furthermore, crosscheck of the system functionalities was done to evaluate the system. According to the evaluation result, design elements of serious game recommender system was able to provide game mechanics and game features as the base of serious game designing which suitable with the learning content. Another result of evaluation showed that the design of the recommender system could be developed to be a design elements of serious game recommender system to propose design elements of serious game that match with the learning contents.
基于知识的严肃游戏设计元素过滤推荐系统
严肃游戏设计元素推荐系统是一款基于web的软件,向系统用户推荐严肃游戏的设计元素。严肃游戏的设计元素是设计严肃游戏所需的组件,如功能和游戏机制。严肃游戏设计元素推荐系统的研究是严肃游戏领域中比较新的研究,因为推荐系统的研究对象主要是游戏玩家,而不是游戏设计师。严肃的游戏开发者在制作一款能够帮助玩家学习的游戏时需要考虑许多因素。推荐系统帮助严肃的游戏开发者从学习内容中确定游戏的设计元素。从Bloom数字分类法与游戏类型和游戏机制的关系出发,分析了领域数据。该系统采用了基于知识的案例和基于约束的过滤技术。基于案例的过滤用于从学习目标、目标评分和目标玩家的用户输入中寻找相似的严肃游戏示例。使用基于约束的过滤从知识库中搜索推荐。为了获得推荐系统的推荐,用户需要向系统输入学习目标,结果是严肃游戏机制和功能的推荐。推荐系统的成功程度是通过向系统输入一些约束条件,并将这些约束条件与系统产生的推荐结果进行匹配来衡量的。此外,对系统功能进行了交叉检查,以评估系统。根据评估结果,严肃游戏推荐系统的设计元素能够提供适合学习内容的游戏机制和游戏功能作为严肃游戏设计的基础。另一个评价结果表明,推荐系统的设计可以发展成为严肃游戏推荐系统的设计元素,提出与学习内容相匹配的严肃游戏设计元素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信