GFGDA: general framework for generating dungeons with atmosphere

Hojatoleslami, Mohammad Reza; Zamanifar, Kamran; Zojaji, Zahra

doi:10.1007/s11042-024-18833-5

Multimed Tools Appl

2024

DOI: 10.1007/s11042-024-18833-5

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GFGDA: general framework for generating dungeons with atmosphere

Mohammad Reza Hojatoleslami,

Kamran Zamanifar,

Zahra Zojaji

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Cited by 2 publications

References 32 publications

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Towards Adapting a Content Orchestrator to a Different GameGenre: Generating Levels, Rules, and Narrative for Diverse Player Profiles from a Top-down Adventure to a 2D Platformer.

Teoi,

Pereira,

Toledo

2024

Anais Do XXIII Simpósio Brasileiro De Jogos E Entretenimento Digital (SBGames 2024)

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Procedural Content Generation for multiple game content facets is a challenge for the game industry and academia. A content orchestrator is a software that can manage different procedural content generators, mixing their outputs while maintaining coherence and feasibility. We adapted a content orchestrator, originally meant for a top-down adventure game, to a 2D platformer. Both versions procedurally generate Levels, Rules, and Narrative, while adapting to distinct player profiles. A pre-test questionnaire is used to evaluate the player profile, and a post-test questionnaire is used to evaluate the game prototype we developed for this experimental purpose and the procedurally generated content. Results show the game was fun, challenging, interesting to explore, and with a moderate difficulty. Although with a limited sample, our results indicate the system was able to target content based on profiles. Therefore, this is a first step into understanding how a content orchestrator can be adapted to different game genres.

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Towards Adapting a Content Orchestrator to a Different GameGenre: Generating Levels, Rules, and Narrative for Diverse Player Profiles from a Top-down Adventure to a 2D Platformer.

Teoi,

Pereira,

Toledo

2024

Anais Do XXIII Simpósio Brasileiro De Jogos E Entretenimento Digital (SBGames 2024)

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Understanding players to enhance their fun: how to extract player data and motivation factors for procedural content generation

Pereira,

Rodrigues,

Toledo

et al. 2024

Anais Estendidos Do XXIII Simpósio Brasileiro De Jogos E Entretenimento Digital (SBGames Estendido 2024)

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This paper uses results from recent literature on player data collection and Human-Computer Interaction (HCI) fundamentals to classify the data collected by gaming systems to identify different types of players and their motivators. Our study proposes to address the lack of standards and ambiguous identification of data and collection techniques, which hinders progress in the Procedural Content Generation field. Our proposed classification may help researchers and game developers build metrics to evaluate users' motivators and player types, fostering the chance to generate game content to optimize performance, fun, and user satisfaction when playing.

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GFGDA: general framework for generating dungeons with atmosphere

Cited by 2 publications

References 32 publications

Towards Adapting a Content Orchestrator to a Different GameGenre: Generating Levels, Rules, and Narrative for Diverse Player Profiles from a Top-down Adventure to a 2D Platformer.

Towards Adapting a Content Orchestrator to a Different GameGenre: Generating Levels, Rules, and Narrative for Diverse Player Profiles from a Top-down Adventure to a 2D Platformer.

Understanding players to enhance their fun: how to extract player data and motivation factors for procedural content generation

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