Data-Driven Gamification Design

被引：3
|
作者：
Meder, Michael [1 ]
Rapp, Amon [2 ]
Plumbaum, Till [1 ]
Hopfgartner, Frank [3 ]
机构：
[1] Tech Univ Berlin, Berlin, Germany
[2] Univ Torino, Turin, Italy
[3] Univ Glasgow, Glasgow, Lanark, Scotland
来源：
PROCEEDINGS OF THE 21ST INTERNATIONAL ACADEMIC MINDTREK CONFERENCE (ACADEMIC MINDTREK) | 2017年
关键词：
Gamification; User Interaction Data; Artificial Intelligence; Machine Learning;
D O I：
10.1145/3131085.3131116
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Gamification has been attracted much interest, not only in the HCI community, in the last few years. However, there is still a lack of insights and theory on the relationships between game design elements, motivation, domain context and user behavior. In this workshop we want to discover the potentials of data-driven gamification design optimization, e.g. by the application of machine learning techniques on user interaction data in a certain domain.
引用
收藏
页码：255 / 258
页数：4
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