Affiliation:
1. G-Scale Game Development and Testing Laboratory, Department of Computing and Software Engineering, McMaster University, Hamilton, ON, Canada
Abstract
This paper provides a conceptual framework for gamification, ludic simulations, and serious games. Central to this framework is the spectrum of design that differentiates work and play. Work and play help define software in purpose as games, productivity software, and entertainment. These categories are informed through cognitive feature analysis of narrative and game play structure. Both can be analyzed to determine the degree of work or play in an activity, as well as issues that influence sustained engagement, which is essential for avoiding game abandonment. To demonstrate the framework for the design and analysis of gamification, ludic simulations, and serious games, several case studies are presented with feature analysis to substantiate the categories.
Subject
Computer Science Applications
Reference42 articles.
1. Social norms and energy conservation
2. EXPERIMENTS WITH ONLINE REINFORCEMENT LEARNING IN REAL-TIME STRATEGY GAMES
3. Andrade, G., Ramalho, G., Santana, H., & Corruble, V. (2005). Automatic computer game balancing: A reinforcement learning approach. In Proceedings of the International Conference on Autonomous Agents (pp. 1229–1230).
4. Bryce, J., & Rutter, J. (2001). In the game–in the flow: Presence in public computer gaming. Retrieved from http://digiplay.info/flow
5. Colella, V. S., Klopfer, E., & Resnick, M. (2001). Adventures in modeling: Exploring complex, dynamic systems with starlogo. ERIC. Retrieved from http://www.eric.ed.gov/ERICWebPortal/recordDetail?accno=ED454085
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