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Abstract :"Petri nets are graphical and mathematical tool for modeling, analyzing, and designing discrete event applicable to many systems. They can be applied to game design too, especially to design serous game. This paper describes an alternative approach to the modeling of serious game systems and classification of motivation behavior with Petri nets. To assess the motivation level of player ability, this research aims at Motivation Behavior Game (MBG). MBG improves this motivation concept to monitor how players interact with the game. This modeling employs Learning Vector Quantization (LVQ) for optimizing the motivation behavior input classification of the player. MBG may provide information when a player needs help or when he wants a formidable challenge. The game will provide the appropriate tasks according to players' ability. MBG will help balance the emotions of players, so players do not get bored and frustrated. Players have a high interest to finish the game if the players are emotionally stable. Interest of the players strongly supports the procedural learning in a serious game."

Abstract: "A game genre as diverse as that of computer role - playing games is difficult to overview. This poses challenges or both developers and researchers to position their work clearly within the genre. We present an overview of the genre based on clusterin g games with similar gameplay features . This allows a tracing of relations between subgenres through their gameplay , and connecting this to concrete game examples. The analysis was done through using gameplay design patterns to identify gameplay features a nd focused upon the combat systems in the games . The resulting cluster structure makes use of 321 patterns to create 37 different subgenre classifications based solely on gameplay features . In addition to the clusters, we identify four categories of patter ns that help designers and researchers understand the combat systems in computer role - playing games"

Abstract: "A key problem for crowd - sourced systems is motivating contributions from participants and ensuring the quality of these contributions. Games have been suggested as a motivational approach but there are concerns about data quality , particularly when the data are to be used for scientific research . To address these concerns, w e compare the quality of data obtained from two citizen science games, one a "gamified" version of a species classificatio n task and one a fantasy game that used the classification task only as a way to advance in the game play. Surprisingly, though we did observe cheating in the fantasy game, data quality from the two games was not significantly different . As well, the quali ty of data from short - time contributors was at a usable level. These findings suggest that games can be a useful way to motivate contributions to citizen science projects. "

Abstract: "Citizen science is a form of social computation where members of the public are recruited to contribute to scientific investigations. Citizen-science projects often use web-based systems to support collaborative scientific activities, making them a form of computer-supported cooperative work. However, finding ways to attract participants and confirm the veracity of the data they produce are key issues in making such systems successful. We describe a series of web-based tools and games currently under development to support taxonomic classification of organisms in photographs collected by citizen-science projects. In the design science tradition, the systems are purpose-built to test hypotheses about participant motivation and techniques for ensuring data quality. Findings from preliminary evaluation and the design process itself are discussed."