Game Mechanics is aimed at game design students and industry professionals who want to improve their understanding of how to design, build, and test the mechanics of a game. Game Mechanics will show you how to design, test, and tune the core mechanics of a game—any game, from a huge role-playing game to a casual mobile phone game to a board game. Along the way, we’ll use many examples from real games that you may know: Pac-Man, Monopoly, Civilization, StarCraft II, and others. The authors provide two features. One is a tool called Machinations that can be used to visualize and simulate game mechanics on your own computer, without writing any code or using a spreadsheet. The other is a design pattern library, including the deep structures of game economies that generate challenge and many kinds of feedback loops.
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Inequality of opportunity is high on the European education agenda. Equipping teachers to be able to identify and address inequality requires them to develop sensitivity, multi-perspectivity and agency, and these are complex attributes that require personal experiences and deep reflection.Recognizing this complexity, five Master’s students chose this challenge for their collective graduate research project. Following the principles of design research and inspired by Bourdieu’s ideas on different forms of capital, they developed a card game that helps both beginning and experienced teachers reflect on the hidden mechanisms of inequality, particularly on the effects of socio-economic status (SES), and it stimulates them to address these mechanisms.The impact of the card game – both in terms of outcomes and its driving mechanisms – is now the subject of a study, funded by the Centre of Expertise Urban Education of the Amsterdam University of Applied Sciences. The preliminary results are promising: especially identifying with low SES pupils and feeling the accumulation of negative experiences raises teachers’ awareness.In our presentation we first play the game with you and then discuss the results and possible implications and applications.
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Intergenerational learning (IGL) has been identified as a viable way to help organizations deal with the problems an ageing worker population brings with it. Information and communications technology (ICT) in its many forms can be utilized to support IGL. This paper investigates the requirements for a game that would help raise stakeholder awareness for IGL, and allow individuals to practice skills related to it. By interviewing members of the European Union (EU)-funded SILVER-project we aim to find out suitable contexts, interventions and mechanisms that allow us to design such a game. Based on the interviews we found out that the game should be easily contextualized so that it works in—or is easily adapted to—different countries and cultures. For example sports or nature could be such contexts. As for mechanisms and interventions we found out that there are many possibilities. We conclude that such a logical combination of mechanisms and interventions that support the selected context must be chosen.
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Recent advances in digital technologies profoundly influence our daily lives and work. While enabling solutions to societal issues, these technologies also demand new knowledge and skills from professionals. An increasingly common way for organizations to address this issue is to set up learning communities as a space in which (future) professionals of different backgrounds can work, learn, and innovate together. The CLIC-IT project explores how public-private learning communities can foster learning, collaboration, and innovation among participants and develop supportive methods and tools. One challenge faced by learning communities is making value creation and impact visible and enhancing it. To facilitate a dialogue on value creation and the mechanisms that produce value, we developed a serious board game. The game allows learning community participants to identify individual and collective mechanisms ofvalue creation and fosters discussion on the collaboration’s value. The workshopincludes a brief introduction, followed by gameplay to experience the game’s potential firsthand. Subsequently, the game experience will be discussed, and feedback will be collected to use for further refinement. Participants will walk away with an increased sense of the underlying mechanisms for value creation in interorganizational collaborations and new ideas to advance value creation in their own projects.
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This paper addresses the procedural generation of levels for collaborative puzzle-platform games. To address this issue, we distinguish types of multiplayer interaction, focusing on two-player collaboration, and identify relevant game mechanics for a puzzle-platform game, addressing player movement, interaction with moving game objects, and physical interaction involving both players. These are further formalized as game design patterns. To test the feasibility of the approach, a level generator has been implemented based on a rule-based approach, using the existing tool called Ludoscope and a prototype game developed in the Unity game engine. The level generation procedure results in over 3.7 million possible playable level variations that can be generated automatically. Each of these levels encourages or even requires both players to engage in collaborative gameplay.
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This paper discusses the potential application of procedural content generation to a game about economical crises, intended to teach a large general audience about how banks function within a market-guided economy, and the financial risks and moral dilemmas that are involved. Procedurally generating content for abstract and complex notions such as inflation, market crashes, and market flux is different from generating spatial maps or physical assets in a game, and poses several design challenges. Instead of generating these kinds of phenomena and other macro-economic effects directly, the designers aim to let them emerge from automatically generated game mechanics. The game mechanics we propose include generic business models that can be parameterized to model the behavior of companies in the game, while the player controls the actions of a bank. What makes generating these game mechanics particularly challenging is the interaction between phenomena at different levels of abstraction. Therefore, relevant economic concepts are discussed in terms of design challenges, and how they could be modeled as emergent properties using generative methods.
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An important step in the design of an effective educational game is the formulation of the to-be-achieved learning goals. The learning goals help shape the content and the flow of the entire game, i.e. they provide the basis for choosing the game’s core (learning) mechanics. A mistake in the formulation of the learning goals or the resulting choice in game mechanics can have large consequences, as the game may not lead to the intended effects. At the moment, there are many different methods for determining the learning goals; they may be derived by a domain expert, based on large collections of real-life data, or, alternatively, not be based on anything in particular. Methods for determining the right game mechanics range from rigid taxonomies, loose brainstorming sessions, to, again, not any method in particular. We believe that for the field of educational game design to mature, there is a need for a more uniform approach to establishing the learning goals and translating them into relevant and effective game activities. This paper explores two existing, non-game design specific, methods to help determine learning goals and the subsequent core mechanics: the first is through a Cognitive Task Analysis (CTA), which can be used to analyse and formalize the problem and the knowledge, skills, attitudes that it is comprised of, and the second is through the Four Components Instructional Design (4C-ID), which can be used to determine how the task should be integrated into an educational learning environment. Our goal is to see whether these two methods provide the uniform approach we need. This paper gives an overview of our experiences with these methods and provides guidelines for other researchers on how these methods could be used in the educational game design process.
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This paper introduces a creative approach aimed at empowering desk-bound occupational groups to address the issue of physical inactivity at workplaces. The approach involves a gamified toolkit called Workplace Vitality Mapping (WVM) (see Figure 1) designed to encourage self-reflection in sedentary contexts and foster the envision of physical vitality scenarios. This hybrid toolkit comprises two main components: A Card Game (on-site) for context reflection and a Co-design Canvas (Online) for co-designing vitality solutions. Through the card games, participants reflect on key sedentary contexts, contemplating their preferable physical vitality scenarios with relevant requirements. The co-design canvas facilitates the collaborative construction and discussion of vitality scenarios’ development. The perceptions and interactions of the proposed toolkit from the target group were studied and observed through a hybrid workshop, which demonstrated promising results in terms of promoting participants’ engagement experience in contextual reflections and deepening their systemic understanding to tackle the physical inactivity issue. As physical inactivity becomes an increasingly pressing concern, this approach offers a promising participatory way for gaining empathetic insights toward community-level solutions.
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Promoting inclusive school cultures and, more specifically, addressing inequality of opportunity is high on the European education agenda. Equipping teachers to be able to identify and address inequality of opportunity requires them to develop sensitivity, multi-perspectivity and agency, and these are complex attributes that require personal experiences and deep reflection. Following the principles of design research, five Dutch teacher-researchers developed IQ110 - a game that does just that. It helps both beginning and experienced teachers reflect on the hidden mechanisms of inequality, particularly on the effects of socio-economic status (SES), and it stimulates them to ad-dress these mechanisms. In the card game, that is played by 3-5 teachers, each teacher first draws a persona card: each player becomes a pupil with a given SES-background. Then the players, in turn, draw situation cards. These situations have three possible outcomes, each resulting in getting green (positive) or red (negative) chips. For each situation the other players discuss the most likely scenario and thus determine the pupil’s score. The persona cards are based on Bourdieu’s ideas on economic, cultural and social capital. The situation cards and scores are informed by SES research.The impact of the card game, both in terms of outcomes and its driving mechanisms, is now the subject of a study, funded by the Centre of Expertise Urban Education of the Amsterdam University of Applied Sciences. To this end, the canvasses on which the individual participants record their learning outcomes are analyzed, and there is a retrospective questionnaire that is filled in after having played the game.The preliminary results are promising: especially identifying with low SES pupils and feeling the accu-mulation of negative experiences raises teachers’ awareness. The participants report that through the individual and collective reflections afterwards they are better equipped to address the issue.In our presentation we would first like to briefly demonstrate the game and then discuss the results and possible implications and applications. As we are now working on an international version of the game, we would also like to discuss with you the game’s potential outside of the Dutch context.
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What makes an educational game good? This paper describes three research directions that could provide insight in the underlying principles of effective educational games. These aspects are 1) The importance of distinguishing between types of to-be-learned knowledge, 2) the need to understand the relationship between game mechanics and learning goals, and 3) using research on intelligent tutoring systems to create more personalized learning experiences. Central in these directions is the concept of cognition and how it impacts the educational effectiveness of an educational game. This paper will give a short introduction on cognition and discuss why the research directions require further research.
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