Search Results for author: Jose Font

Found 7 papers, 2 papers with code

Story Designer: Towards a Mixed-Initiative Tool to Create Narrative Structures

no code implementations11 Oct 2022 Alberto Alvarez, Jose Font, Julian Togelius

This paper presents Story Designer, a mixed-initiative co-creative narrative structure tool built on top of the Evolutionary Dungeon Designer (EDD) that uses tropes, narrative conventions found across many media types, to design these structures.

Towards Situation Awareness and Attention Guidance in a Multiplayer Environment using Augmented Reality and Carcassonne

no code implementations18 Aug 2022 David Kadish, Arezoo Sarkheyli-Hägele, Jose Font, Diederick C. Niehorster, Thomas Pederson

Augmented reality (AR) games are a rich environment for researching and testing computational systems that provide subtle user guidance and training.

TropeTwist: Trope-based Narrative Structure Generation

no code implementations31 Mar 2022 Alberto Alvarez, Jose Font

To address this, we present TropeTwist, a trope-based system that can describe narrative structures in games in a more abstract and generic level, allowing the definition of games' narrative structures and their generation using interconnected tropes, called narrative graphs.

Designer Modeling through Design Style Clustering

1 code implementation3 Apr 2020 Alberto Alvarez, Jose Font, Julian Togelius

We propose modeling designer style in mixed-initiative game content creation tools as archetypical design traces.

Clustering

Learning the Designer's Preferences to Drive Evolution

no code implementations6 Mar 2020 Alberto Alvarez, Jose Font

This paper presents the Designer Preference Model, a data-driven solution that pursues to learn from user generated data in a Quality-Diversity Mixed-Initiative Co-Creativity (QD MI-CC) tool, with the aims of modelling the user's design style to better assess the tool's procedurally generated content with respect to that user's preferences.

Interactive Constrained MAP-Elites: Analysis and Evaluation of the Expressiveness of the Feature Dimensions

1 code implementation6 Mar 2020 Alberto Alvarez, Steve Dahlskog, Jose Font, Julian Togelius

We propose the Interactive Constrained MAP-Elites, a quality-diversity solution for game content generation, implemented as a new feature of the Evolutionary Dungeon Designer: a mixed-initiative co-creativity tool for designing dungeons.

Empowering Quality Diversity in Dungeon Design with Interactive Constrained MAP-Elites

no code implementations12 Jun 2019 Alberto Alvarez, Steve Dahlskog, Jose Font, Julian Togelius

We propose the use of quality-diversity algorithms for mixed-initiative game content generation.

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