An Experiment on Game Facet Combination\

Prager, Raphael Patrick; Troost, Laura; Bruggenjurgen, Simeon; Melhárt, Dávid; Yannakakis, Georgios N.; Preuß, Mike

doi:10.1109/cig.2019.8848073

Cited by 2 publications

(2 citation statements)

References 13 publications

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“…Recent works also tackled the orchestration of multiple contents. Prager et al (2019) developed a maze game where visual and audio style can change the environment feel, e.g., from a dark and tense to a soothing and joyful setting. They experimented with 20 players their reactions to visual and audio compositions.…”

Section: Generation Of Multiple Contentmentioning

confidence: 99%

Orchestrating and Adapting of Dungeon Levels, Locked-door Missions, and Enemies

Viana¹

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Procedural Content Generation (PCG) techniques can be used to automatically generate game content or increase the designers' creativity and productivity. Besides, PCG can work as a game feature by providing diverse and targeted content for players. In this context, we tackle the problem of adaptive content orchestration, specifically by exploring how coordinate the generation of levels, missions, and enemies for an Action-Adventure game and different types of players. Thus, the present master's thesis proposes a PCG system to provide adaptive gameplay experiences for different players. Our system is focused on three different game facets, dungeon levels, narratives (missions), and rules (enemies), and it comprises three modules, orchestrator, classifier, and game prototype. The orchestrator module coordinates two algorithms for generating levels and enemies; both apply MAP-Elites to maintain a variety of solutions without losing quality. The level generation approach creates dungeons with enemies (levels facet) and locked-door missions (narratives facet). Next, the enemy generation approach creates enemies with different attributes and behaviors (rules facet). The classifier module receives the players' answers to a brief questionnaire regarding their gameplay preferences to categorize players' profiles. To adapt the contents, we defined different goals of each generator for each player type. Based on the player type, the orchestrator module appropriately combines the previously generated levels and enemies. We designed the orchestrator to filter and select coherent and good enemies to place in the levels' rooms. The game prototype module is where we validate the contents generated by our system and collect data from the players. Our results show that the two MAP-Elites algorithms accurately converge almost the whole population with many executions and cases. The players' feedbacks show that they enjoyed the levels played and the enemies faced. Besides, most of them could not indicate that an algorithm created the levels or the enemies. Our system presented positive results for delivering adaptive content properly for different types of players through a simple player profiling process. Thus, we can conclude that our PCG system can generate levels and enemies to entertain different players.

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Section: Generation Of Multiple Contentmentioning

confidence: 99%

Orchestrating and Adapting of Dungeon Levels, Locked-door Missions, and Enemies

Viana¹

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“…The authors in (Prager et al, 2019) present another relevant aspect of game facet combination by creating a simple maze game. The visual and audio styles can change between a dark and tense setting and a soothing and joyful one.…”

Section: Game-o-maticmentioning

confidence: 99%

Arquitetura e desenvolvimento de um sistema de geração procedural de múltiplos conteúdos para jogos eletrônicos em tempo real

Pereira¹

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É apresentado um sistema capaz de orquestrar a geração procedural de múltiplos conteúdos, usando diferentes técnicas de criatividade computacional, e capaz de gerar os conteúdos em tempo real. Os conteúdos gerados são calabouços, o posicionamento de inimigos, chaves e fechaduras em suas salas, os inimigos que serão colocados no calabouço, missões para o jogador completar, e as salas do calabouço. São usados algoritmos evolutivos, MAP-Elites, Gramáticas Formais, Cadeias de Markov e Autômatos Celulares para criar tais conteúdos. Eles são organizados por um orquestrador e colocados em um protótipo de jogo. No último estágio do sistema, o conteúdo pode ser gerado em tempo real, tão logo quanto são coletados os dados do jogador para usar de entrada, através de uma análise de perfis baseada em regras. Também é descrita uma arquitetura e design de sistema, que permitiram a adição de novos geradores e a troca de algoritmos para cada gerador com certa facilidade. Diferentes experimentos com jogadores foram realizados para testar diferentes algoritmos e configurações do sistema, todos com resultados positivos, e com os jogadores divertindo-se ao jogar os conteúdos resultantes. Jogadores que jogaram o conteúdo baseado em seus perfis divertiram-se mais do que aqueles que jogaram conteúdo de outro perfil. Isso mostra que nosso identificador de perfis com base em regras pode guiar os geradores para bons resultados.

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An Experiment on Game Facet Combination\

Cited by 2 publications

References 13 publications

Orchestrating and Adapting of Dungeon Levels, Locked-door Missions, and Enemies

Orchestrating and Adapting of Dungeon Levels, Locked-door Missions, and Enemies

Arquitetura e desenvolvimento de um sistema de geração procedural de múltiplos conteúdos para jogos eletrônicos em tempo real

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