This research paper presents a study of the Teamfight Tactics (Riot Games, 2019) metagame and its evolution over time. For this research purpose, we have defined metagames as the ways in which games exist within broader social and cultural contexts. By using a mixed-methods approach, we explore players' relationship with the TFT metagame, their strategies used to succeed, and the factors that influence the metagame's evolution, as well as how TFT metamedia impacts players' relationship with the metagame. Our research's theoretical framework is based on the idea of metagame analysis presented in 2017 by Boluk and LeMieux. The main results of our study show that most players consume some kind of TFT-related metamedia, which suggests that metamedia has a big influence on how players approach TFT and formulate their gameplay strategies. Players with varying skill-levels may consume different kinds of metamedia, which raises the possibility that they may be persuaded to adopt distinct approaches to playing the game and thereby contribute to the emergence of the metagame. This implies that the impact of metamedia on the metagame is not ubiquitous for all players and that additional study is required to properly comprehend the connection between the consumption of metamedia, skill level, and the metagame evolution. Due to the focus on TFT and the small sample size of our data collection, our research is restricted. However, our findings may be intriguing to TFT players, game developers, and researchers who are interested in game design, player behavior, and competitive gaming. With a particular focus on highlighting insights of the TFT metagame and its relation with metamedia, this study contributes to the larger discussion on game metagames and their development over time.

Our research is about schadenfreude, deriving pleasure from others suffering, and its presencein the online game League of Legends. Along with its presence we measured different waysplayers can enjoy it, as well as how much the players enjoyed it. What we found was that anoverwhelming majority enjoys it in one way or another. The study was conducted through anonline survey numbering 116 people, all who play League of Legends daily. We hope that thisresearch will open up possibilities for game designers and developers to cater mechanics thatevoke schadenfreude in a positive way where toxicity does not emerge as a result.

[pt] Game Analytics é uma área que envolve o processamento de dados de videogames com a finalidade de proporcionar uma melhor experiência de jogo para o usuário. Também ajuda a verificar os padrões de comportamento dos jogadores, facilitando a identificação do público-alvo. A coleta de dados dos jogadores ajuda os desenvolvedores de jogos a identificar problemas mais cedo e saber por que os jogadores deixaram o jogo ou continuaram jogando. O comportamento desses jogadores geralmente segue um padrão, fazendo com que se encaixem em diferentes perfis de jogadores. Especialistas em análise de jogos criam e usam modelos de tipos de jogadores, geralmente variantes do modelo de Bartle, para ajudar a identificar perfis de jogadores. Esses especialistas usam algoritmos de agrupamento para separar os jogadores em grupos diferentes e identificáveis, rotulando cada grupo com o tipo de perfil definido pelo modelo proposto. O objetivo principal deste projeto é criar um plugin Unity genérico para ajudar a identificar perfis de jogadores em jogos. Este plugin usa uma API Python, que lida com os dados do jogo armazenados em um banco de dados MongoDB, para agrupar e rotular cada partida ou nível do jogo escolhido enquanto o jogo está em execução. Neste plugin, os desenvolvedores de jogos podem configurar o número de tipos de jogadores que desejam identificar, os rótulos dos jogadores e até os algoritmos que desejam usar. Essa abordagem de agrupamento online não é usual no desenvolvimento de jogos. Até onde sabemos, não há nenhum componente de software na literatura de análise de jogos com a mesma direção e recursos. / [en] Game Analytics is an area that involves the processing of video game data, in order to make a better game experience for the user. It also helps to check the patterns in players behaviour, making it easier to identify the target audience. Gathering player data helps game developers identify problems earlier and know why players left the game or kept playing. These players behavior usually follows a pattern, making them fit in different player profiles. Game analytics experts create and use models of player types, usually variants of Bartle s model, to help identify player profiles. These experts use clustering algorithms to separate players into different and identifiable groups, labeling each group with the profile type defined by the proposed model. The main goal of this project is to create a generic Unity plugin to help identify Player Profiles in games. This plugin uses a Python API, which deals with the game data stored in a MongoDB database, to cluster and label each match or level of the chosen game while the game is running. In this plugin, game developers can configure the number of player types they want to identify, the player labels, and even the algorithms they wish to use. This online clustering approach is not usual in game development. As far as we are aware, there is no software component in the game analytics literature with the same direction and features.

3D user interface technologies have the potential to make games more immersive & engaging and thus potentially provide a better user experience to gamers. Although 3D user interface technologies are available for games, it is still unclear how their usage affects game play and if there are any user performance benefits. A systematic study of these technologies in game environments is required to understand how game play is affected and how we can optimize the usage in order to achieve better game play experience. This dissertation seeks to improve the gaming experience by exploring several 3DUI technologies. In this work, we focused on stereoscopic 3D viewing (to improve viewing experience) coupled with motion based control, head tracking (to make games more engaging), and faster gesture based menu selection (to reduce cognitive burden associated with menu interaction while playing). We first studied each of these technologies in isolation to understand their benefits for games. We present the results of our experiments to evaluate benefits of stereoscopic 3D (when coupled with motion based control) and head tracking in games. We discuss the reasons behind these findings and provide recommendations for game designers who want to make use of these technologies to enhance gaming experiences. We also present the results of our experiments with finger-based menu selection techniques with an aim to find out the fastest technique. Based on these findings, we custom designed an air-combat game prototype which simultaneously uses stereoscopic 3D, head tracking, and finger-count shortcuts to prove that these technologies could be useful for games if the game is designed with these technologies in mind. Additionally, to enhance depth discrimination and minimize visual discomfort, the game dynamically optimizes stereoscopic 3D parameters (convergence and separation) based on the user's look direction. We conducted a within subjects experiment where we examined performance data and self-reported data on users perception of the game. Our results indicate that participants performed significantly better when all the 3DUI technologies (stereoscopic 3D, head-tracking and finger-count gestures) were available simultaneously with head tracking as a dominant factor. We explore the individual contribution of each of these technologies to the overall gaming experience and discuss the reasons behind our findings. Our experiments indicate that 3D user interface technologies could make gaming experience better if used effectively. The games must be designed to make use of the 3D user interface technologies available in order to provide a better gaming experience to the user. We explored a few technologies as part of this work and obtained some design guidelines for future game designers. We hope that our work will serve as the framework for the future explorations of making games better using 3D user interface technologies.