Data-Driven Gamification Design

被引：4

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

页码：255 / 258

页数：4

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