Big Data Analytics A Perspective of Machine Learning Over Massive Datasets

Covers various topics of gamification technologies and applications, plus methodologies for developing these applications

Gamification uses game elements and game techniques in non-game context, e.g. to encourage engagement with a product or service. In recent years, gamification has become one of the major trends in information systems. However, the kinds of gamification approaches and applications that have been used up to date have been under-researched. This book introduces a modern and updated approach to gamification, including its techniques, technologies, and various applications.

The author presents the design process for gamification and clearly illustrates how gamification motivates people to engage in their industry. To assist in reader comprehension, the work also includes case studies for gamification in the entertainment, healthcare, retail, education, and software development industries. Sample topics covered within the work include:

• An introduction to gamification, game elements, and game design techniques
• Game mechanics, game dynamics, and gamification in the context of virtual economy
• How the gamification experience can be enhanced through wearable devices and systems, augmented reality, virtual currencies, big data intelligence and AI, and cloud computing
• The many applications of gamification in entertainment, healthcare, retail, education, and software development
• Developmental trends of gamification in technology and business

For gamification practitioners and students enrolled in gamification courses, Big Data Analytics: A Perspective of Machine Learning Over Massive Datasets serves as a complete and comprehensive resource to understand and apply the concept of gamification throughout many different industries in a variety of cutting-edge ways.

Zongwei Luo, PhD, is an Associate Professor within the Electrical Engineering Department at South University of Science and Technology, China. He is a member of IEEE and ACM. He received his PhD in computer science at University of Georgia (USA) and MS in computer engineering at Huazhong University of Science and Technology (China).

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