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Abstract: "This thesis explores role-playing games, an existing genre within the current game industry. Role-playing games have many different parts which together create the whole game experience for the user. However, this research has focused on what arguably can be said to be the core gameplay feature of role-playing games: The battle system. This was mainly conducted by analyzing existing games using different methods, primarily by identifying gameplay design patterns in the games, and comparing them using a cluster method. The use of patterns allowed basic elements for observing and analyzing the relation between different role-playing games while the clusters provide overviews of the subcategories of the role-playing genre. This thesis presents view of the role-playing genre from the perspective of combat systems through two main results. The first result is the trees created by the clusters which explain subgenres through the presence of specific gameplay design patterns. The second result is four categories of patterns: those which illustrate patterns found in nearly all role-playing games; those that define the tree result; those that can have strong impact on gameplay but without affecting subgenre membership; and those that link combat system to other parts of the gameplay. Through this, the research has established a view on the design space of role-playing games and created visualizations of how different role-playing games relate to each other. From this relation a designer can further understand how to design for different gameplay experiences for the user."

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: "The collaborative nature of many modern multiplayer games raises a lot of questions in cooperative game design. We address one of them in this paper by analyzing cooperative game patterns in remote gameplay in order to define benefits and drawbacks for each one. With the help of a user experiment, we analyzed player experience in a set of existing cooperative patterns for games played remotely without communication. By comparing patterns, supporting closely- and looselycoupled collaboration, we discovered that the first type provided a more enjoyable experience but introduced additional challenges in case of a lack of communication. By analyzing patterns for both closely- and loosely-coupled interaction, we determined the most beneficial pattern within each type. We concluded with the results of a pattern comparison in colocated and remote setups."

From the abstract: "This paper will examine the relationship of pattern recognition and Gestalt principles to procedural form in gameplay. It will identify key features of pattern based play mechanics and outline important synergies between programming paradigms and procedural form. In the course of the paper I will examine the formal and aesthetic qualities of procedural structures and discuss how they generate the experience of psychological flow. I will also identify the role of these mechanisms and their effects in current game design."

From the abstract: "Our goal is to create a better understanding on how to design encounters that affect interest levels in linear FPS games. Specifically, how exactly a player's interest levels can be raised intentionally. To accomplish this, we developed a method for measuring and comparing player interest levels based on electroencephalogram (EEG) data measured using a "Neurosky Mindset" unit, which is a commercially available EEG device. We measured player EEG data for the first 4 levels of the FPS game "Call of Duty: Modern Warfare 2" and calculated player interest levels for the entire length of gameplay. By referring to recorded gameplay videos, we were able to associate each increase in interest levels for each player to a specific point in game. From this data, we found and isolated points in each level where most players showed a rise in interest levels, and discovered that certain patterns existed between these situations. These findings led to another study where we further analyzed these situations and found out what factors caused most players to show a rise in interest levels. We were able to divide these factors into 6 different categories called Triggers: "Anticipation", "Concentration", "Surprise", "Frustration", "Overwhelm" and "Fear". As these triggers represent mutually exclusive elements that affect a player's interest levels, we found that in most situations where many test subjects showed a rise in interest levels, more than one trigger is present, a phenomenon we call Stacking. While our study is still ongoing, we believe that by using these triggers as guidelines, game designers will be able to intentionally plan and control the player's interest level for FPS games with a certain level of guarantee"