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Andersson, J., Trojanowski, M. & Alvarez, A. (2023). Are You Lucky or Skilled? An Analysis of Elements of Randomness in Slay the Spire. In: 2023 IEEE Conference on Games (CoG): . Paper presented at IEEE Conference on Games (CoG), Boston, USA, 21-24 Aug 2023. IEEE
Öppna denna publikation i ny flik eller fönster >>Are You Lucky or Skilled? An Analysis of Elements of Randomness in Slay the Spire
2023 (Engelska)Ingår i: 2023 IEEE Conference on Games (CoG), IEEE, 2023Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Elements of randomness are a very common factor in modern digital games, from simple rolls of a die to complex AI systems. These elements have an impact on how the player experiences a game. We believe that exploring the field of luck analysis can benefit designers through a developed understanding of how such elements affect players. In this study, we explore how elements of randomness affect players in the roguelike deckbuilding game, Slay the Spire using data clustering. Three player skill groups were identified with the use of clustering: Winners, Low skill losers and High skill losers. Our results indicate that people who succeeded in beating the game, had an increased amount of randomness in the form of cards by a factor of 1.82. Showing that more skilled players do not shy away from randomness but instead embrace it more than lower skilled players.

Ort, förlag, år, upplaga, sidor
IEEE, 2023
Serie
IEEE Conference on Computational Intelligence and Games, ISSN 2325-4270, E-ISSN 2325-4289
Nyckelord
Game analysis, Game design, Elements of Randomness, Correlation, Input variables, Clustering algorithms, Games, Data mining, Artificial intelligence, Faces
Nationell ämneskategori
Datavetenskap (datalogi)
Identifikatorer
urn:nbn:se:mau:diva-64677 (URN)10.1109/CoG57401.2023.10333231 (DOI)2-s2.0-85180547354 (Scopus ID)979-8-3503-2277-4 (ISBN)979-8-3503-2278-1 (ISBN)
Konferens
IEEE Conference on Games (CoG), Boston, USA, 21-24 Aug 2023
Tillgänglig från: 2023-12-21 Skapad: 2023-12-21 Senast uppdaterad: 2024-02-05Bibliografiskt granskad
Alvarez, A. (2023). ChatGPT as a Narrative Structure Interpreter. In: Lissa Holloway-Attaway, John T. Murray (Ed.), Interactive Storytelling: 16th International Conference on Interactive Digital Storytelling, ICIDS 2023, Kobe, Japan, November 11–15, 2023, Proceedings, Part II. Paper presented at 16th International Conference on Interactive Digital Storytelling, ICIDS 2023, Kobe, Japan, November 11–15, 2023 (pp. 113-121). Springer
Öppna denna publikation i ny flik eller fönster >>ChatGPT as a Narrative Structure Interpreter
2023 (Engelska)Ingår i: Interactive Storytelling: 16th International Conference on Interactive Digital Storytelling, ICIDS 2023, Kobe, Japan, November 11–15, 2023, Proceedings, Part II / [ed] Lissa Holloway-Attaway, John T. Murray, Springer, 2023, s. 113-121Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Narrative structures define the skeleton of narratives and help at identifying common structures in stories, that then can be used to compare structures, define variations, and understand prototypical [structural] components. However, narrative structures are just one piece of the puzzle, their interpretation is what gives room to the stories seen in transmedia storytelling. In principle, a structure can be interpreted and developed with a myriad of stories, but requires some type of corpus to develop it further. Large language models such as ChatGPT could be employed for this task, if we are able to define a good narrative structure and give the tools to the algorithm to develop them further. For this paper, we use a narrative structure system called TropeTwist, which employs interconnected tropes as narrative structures, defining characters, conflicts, and plot devices in a relational graph, which gives raise to a set of trope micro- and meso-patterns. Using ChatGPT and through the web interface, we communicate all the possible elements to be used from TropeTwist and tasked ChatGPT to interpret them and generate stories. We describe our process and methodology to reach these interpretations, and present some of the generated stories based on a constructed narrative structure. Our results show the possibilities and limitations of using these systems and elaborate on future work to combine large language models for other tasks within narrative interpretation and generation.

Ort, förlag, år, upplaga, sidor
Springer, 2023
Serie
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 384
Nyckelord
Narrative Structures, Large Language Models, ChatGPT, Games, Story Generation
Nationell ämneskategori
Datavetenskap (datalogi)
Identifikatorer
urn:nbn:se:mau:diva-64278 (URN)10.1007/978-3-031-47658-7_9 (DOI)2-s2.0-85177442540 (Scopus ID)978-3-031-47657-0 (ISBN)978-3-031-47658-7 (ISBN)
Konferens
16th International Conference on Interactive Digital Storytelling, ICIDS 2023, Kobe, Japan, November 11–15, 2023
Tillgänglig från: 2023-12-12 Skapad: 2023-12-12 Senast uppdaterad: 2023-12-12Bibliografiskt granskad
Robinson, R. B., Mirza-Babaei, P., Alvarez, A., Garreta Domingo, M., Mandryk, R. L. & Isbister, K. (2023). Games and Play SIG: Connecting Through Social and Playful Technologies. In: CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems: . Paper presented at 2023 CHI Conference on Human Factors in Computing Systems, CHI EA 2023, Hamburg, Germany, April 23-28, 2023. Association for Computing Machinery (ACM), Article ID 513.
Öppna denna publikation i ny flik eller fönster >>Games and Play SIG: Connecting Through Social and Playful Technologies
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2023 (Engelska)Ingår i: CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery (ACM), 2023, artikel-id 513Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Games have always been popular for connecting people, from local single-player and couch co-op, to massively multiplayer online. Throughout the COVID-19 pandemic, remote games that involved and fostered social interactions and connections were a highlight among strategies for staying connected. For this year’s games and play SIG, we come together to discuss the relevant and timely topic of social and playful technologies, and how they can be designed to best foster meaningful social connections over a distance. We bring together attendees from not only the games community, but also those in the broader field of CHI focusing on social and playful technologies.  

 

Ort, förlag, år, upplaga, sidor
Association for Computing Machinery (ACM), 2023
Nationell ämneskategori
Människa-datorinteraktion (interaktionsdesign)
Identifikatorer
urn:nbn:se:mau:diva-63788 (URN)10.1145/3544549.3583176 (DOI)2-s2.0-85158152170 (Scopus ID)9781450394222 (ISBN)
Konferens
2023 CHI Conference on Human Factors in Computing Systems, CHI EA 2023, Hamburg, Germany, April 23-28, 2023
Tillgänglig från: 2023-11-20 Skapad: 2023-11-20 Senast uppdaterad: 2023-11-20Bibliografiskt granskad
Alvarez, A. (2022). Exploring Game Design through Human-AI Collaboration. (Doctoral dissertation). Malmö: Malmö universitet
Öppna denna publikation i ny flik eller fönster >>Exploring Game Design through Human-AI Collaboration
2022 (Engelska)Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
Abstract [en]

Game design is a hard and multi-faceted task that intertwines different gameplay mechanics, audio, level, graphic, and narrative facets. Games' facets are developed in conjunction with others with a common goal that makes games coherent and interesting. These combinations result in plenty of games in diverse genres, which usually require a collaboration of a diverse group of designers. Collaborators can take different roles and support each other with their strengths resulting in games with unique characteristics. The multi-faceted nature of games and their collaborative properties and requirements make it an exciting task to use Artificial Intelligence (AI). The generation of these facets together requires a holistic approach, which is one of the most challenging tasks within computational creativity. Given the collaborative aspect of games, this thesis approaches their generation through Human-AI collaboration, specifically using a mixed-initiative co-creative (MI-CC) paradigm. This paradigm creates an interactive and collaborative scenario that leverages AI and human strengths with an alternating and proactive initiative to approach a task. However, this paradigm introduces several challenges, such as Human and AI goal alignment or competing properties.

In this thesis, game design and the generation of game facets by themselves and intertwined are explored through Human-AI collaboration. The AI takes a colleague's role with the designer, arising multiple dynamics, challenges, and opportunities. The main hypothesis is that AI can be incorporated into systems as a collaborator, enhancing design tools, fostering human creativity, and reducing workload. The challenges and opportunities that arise from this are explored, discussed, and approached throughout the thesis. As a result, multiple approaches and methods such as quality-diversity algorithms and designer modeling are proposed to generate game facets in tandem with humans, create a better workflow, enhance the interaction, and establish adaptive experiences.

Ort, förlag, år, upplaga, sidor
Malmö: Malmö universitet, 2022. s. 381
Serie
Studies in Computer Science ; 20
Nyckelord
Computer Games, Human-AI Collaboration, Mixed-Initiative, Procedural Content Generation, Quality Diversity, Computational Creativity
Nationell ämneskategori
Datavetenskap (datalogi) Människa-datorinteraktion (interaktionsdesign)
Forskningsämne
Interaktionsdesign
Identifikatorer
urn:nbn:se:mau:diva-54586 (URN)10.24834/isbn.9789178773084 (DOI)978-91-7877-307-7 (ISBN)978-91-7877-308-4 (ISBN)
Disputation
2022-09-27, Niagara hörsal C, Nordenskiöldsgatan 1, 21119, Malmö, 14:30 (Engelska)
Opponent
Handledare
Tillgänglig från: 2022-08-29 Skapad: 2022-08-27 Senast uppdaterad: 2022-12-08Bibliografiskt granskad
Alvarez, A., Font Fernandez, J. M., Dahlskog, S. & Togelius, J. (2022). Interactive Constrained MAP-Elites: Analysis and Evaluation of the Expressiveness of the Feature Dimensions. IEEE Transactions on Games, 14(2), 202-211
Öppna denna publikation i ny flik eller fönster >>Interactive Constrained MAP-Elites: Analysis and Evaluation of the Expressiveness of the Feature Dimensions
2022 (Engelska)Ingår i: IEEE Transactions on Games, ISSN 2475-1502, Vol. 14, nr 2, s. 202-211Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

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 (EDD): a mixed-initiative co-creativity tool for designing dungeons. The feature uses the MAP-Elites algorithm, an illumination algorithm that segregates the population among several cells depending on their scores with respect to different behavioral dimensions. Users can flexibly and dynamically alternate between these dimensions anytime, thus guiding the evolutionary process in an intuitive way, and then incorporate suggestions produced by the algorithm in their room designs. At the same time, any modifications performed by the human user will feed back into MAP-Elites, closing a circular workflow of constant mutual inspiration. This paper presents the algorithm followed by an in-depth evaluation of the expressive range of all possible dimension combinations in several scenarios, and discusses their influence in the fitness landscape and in the overall performance of the procedural content generation in EDD.

Ort, förlag, år, upplaga, sidor
IEEE, 2022
Nationell ämneskategori
Datavetenskap (datalogi)
Identifikatorer
urn:nbn:se:mau:diva-40278 (URN)10.1109/TG.2020.3046133 (DOI)000811581700012 ()2-s2.0-85098766850 (Scopus ID)
Tillgänglig från: 2021-02-01 Skapad: 2021-02-01 Senast uppdaterad: 2024-02-05Bibliografiskt granskad
Alvarez, A., Font, J. & Togelius, J. (2022). Story Designer: Towards a Mixed-Initiative Tool to Create Narrative Structures. In: FDG '22: Proceedings of the 17th International Conference on the Foundations of Digital Games: . Paper presented at FDG22: 17th International Conference on the Foundations of Digital Games, Athens, Greece, September 5 - 8, 2022. ACM Digital Library, Article ID 42.
Öppna denna publikation i ny flik eller fönster >>Story Designer: Towards a Mixed-Initiative Tool to Create Narrative Structures
2022 (Engelska)Ingår i: FDG '22: Proceedings of the 17th International Conference on the Foundations of Digital Games, ACM Digital Library, 2022, artikel-id 42Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Narratives are a predominant part of games, and their design poses challenges when identifying, encoding, interpreting, evaluating, and generating them. One way to address this would be to approach narrative design in a more abstract layer, such as narrative structures. 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. Story Designer uses tropes as building blocks for narrative designers to compose complete narrative structures by interconnecting them in graph structures called narrative graphs. Our mixed-initiative approach lets designers manually create their narrative graphs and feeds an underlying evolutionary algorithm with those, creating quality-diverse suggestions using MAP-Elites. Suggestions are visually represented for designers to compare and evaluate and can then be incorporated into the design for further manual editions. At the same time, we use the levels designed within EDD as constraints for the narrative structure, intertwining both level design and narrative. We evaluate the impact of these constraints and the system’s adaptability and expressiveness, resulting in a potential tool to create narrative structures combining level design aspects with narrative.  

 

 

Ort, förlag, år, upplaga, sidor
ACM Digital Library, 2022
Nationell ämneskategori
Datavetenskap (datalogi)
Identifikatorer
urn:nbn:se:mau:diva-56278 (URN)10.1145/3555858.3555929 (DOI)2-s2.0-85142339970 (Scopus ID)978-1-4503-9795-7 (ISBN)
Konferens
FDG22: 17th International Conference on the Foundations of Digital Games, Athens, Greece, September 5 - 8, 2022
Tillgänglig från: 2022-11-29 Skapad: 2022-11-29 Senast uppdaterad: 2024-02-05Bibliografiskt granskad
Alvarez, A., Font, J. & Togelius, J. (2022). Toward Designer Modeling Through Design Style Clustering. IEEE Transactions on Games, 14(4), 676-686
Öppna denna publikation i ny flik eller fönster >>Toward Designer Modeling Through Design Style Clustering
2022 (Engelska)Ingår i: IEEE Transactions on Games, ISSN 2475-1502, Vol. 14, nr 4, s. 676-686Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

We propose modeling designer style in mixed-initiative game content creation tools as archetypical design traces. These design traces are formulated as transitions between design styles; these design styles are in turn found through clustering all intermediate designs along the way to making a complete design. This method is implemented in the Evolutionary Dungeon Designer, a research platform for mixed-initiative systems to create adventure and dungeon crawler games. We present results both in the form of design styles for rooms, which can be analyzed to better understand the kind of rooms designed by users, and in the form of archetypical sequences between these rooms, i.e., Designer Personas.

Ort, förlag, år, upplaga, sidor
IEEE, 2022
Nationell ämneskategori
Datavetenskap (datalogi)
Identifikatorer
urn:nbn:se:mau:diva-51543 (URN)10.1109/tg.2022.3143800 (DOI)000908822400014 ()2-s2.0-85123365921 (Scopus ID)
Tillgänglig från: 2022-05-19 Skapad: 2022-05-19 Senast uppdaterad: 2024-02-05Bibliografiskt granskad
Larsson, T., Font, J. & Alvarez, A. (2022). Towards AI as a Creative Colleague in Game Level Design. In: Proceedings of the 18th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment: . Paper presented at AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE), October 24–28, 2022, Pomona. (pp. 137-145). AAAI Press, 18
Öppna denna publikation i ny flik eller fönster >>Towards AI as a Creative Colleague in Game Level Design
2022 (Engelska)Ingår i: Proceedings of the 18th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AAAI Press, 2022, Vol. 18, s. 137-145Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

In Mixed-Initiative Co-Creative tools, the human is mostly in control of what will and can be created, delegating the AI to a more suggestive role instead of a colleague in the co-creative process. Allowing more control and agency for the AI might be an interesting path in co-creative scenarios where AI could direct and take more initiative within the co-creative task. However, the relationship between AI and human designers in creative processes is delicate, as adjusting the initiative or agency of the AI can negatively affect the user experience. In this paper, different degrees of agency for the AI are explored within the Evolutionary Dungeon Designer (EDD) to further understand MI-CC tools. A user study was performed using EDD with three varying degrees of AI agency. The study highlighted elements of frustration that the human designer experiences when using the tool and the behavior in the AI that led to possible strains on the relationship. The paper concludes with the identified issues and possible solutions and suggested further research.

Ort, förlag, år, upplaga, sidor
AAAI Press, 2022
Serie
Proceedings (AAAI Artificial Intelligence and Interactive Digital Entertainment Conference), ISSN 2326-909X, E-ISSN 2334-0924 ; 18:1
Nyckelord
AI Agency, Mixed-Initiative Co-Creativity, Level Design, AI Roles
Nationell ämneskategori
Människa-datorinteraktion (interaktionsdesign) Datavetenskap (datalogi)
Forskningsämne
Interaktionsdesign
Identifikatorer
urn:nbn:se:mau:diva-54334 (URN)10.1609/aiide.v18i1.21957 (DOI)2-s2.0-85172147842 (Scopus ID)978-1-57735-877-0 (ISBN)
Konferens
AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE), October 24–28, 2022, Pomona.
Tillgänglig från: 2022-08-05 Skapad: 2022-08-05 Senast uppdaterad: 2023-12-12Bibliografiskt granskad
Alvarez, A. & Font, J. (2022). TropeTwist: Trope-based Narrative Structure Generation. In: FDG '22: Proceedings of the 17th International Conference on the Foundations of Digital Games: . Paper presented at FDG22: 17th International Conference on the Foundations of Digital Games, Athens, Greece, September 5 - 8, 2022. ACM Digital Library, Article ID 69.
Öppna denna publikation i ny flik eller fönster >>TropeTwist: Trope-based Narrative Structure Generation
2022 (Engelska)Ingår i: FDG '22: Proceedings of the 17th International Conference on the Foundations of Digital Games, ACM Digital Library, 2022, artikel-id 69Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Games are complex, multi-faceted systems that share common elements and underlying narratives, such as the conflict between a hero and a big bad enemy or pursuing a goal that requires overcoming challenges. However, identifying and describing these elements together is non-trivial as they might differ in certain properties and how players might encounter the narratives. Likewise, generating narratives also pose difficulties when encoding, interpreting, and evaluating them. 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. To demonstrate the system, we represent the narrative structure of three different games. We use MAP-Elites to generate and evaluate novel quality-diverse narrative graphs encoded as graph grammars, using these three hand-made narrative structures as targets. Both hand-made and generated narrative graphs are evaluated based on their coherence and interestingness, which are improved through evolution.  

 

Ort, förlag, år, upplaga, sidor
ACM Digital Library, 2022
Nationell ämneskategori
Datavetenskap (datalogi)
Identifikatorer
urn:nbn:se:mau:diva-56277 (URN)10.1145/3555858.3563271 (DOI)2-s2.0-85142363649 (Scopus ID)978-1-4503-9795-7 (ISBN)
Konferens
FDG22: 17th International Conference on the Foundations of Digital Games, Athens, Greece, September 5 - 8, 2022
Tillgänglig från: 2022-11-29 Skapad: 2022-11-29 Senast uppdaterad: 2024-02-05Bibliografiskt granskad
Alvarez, A. & Font, J. (2022). TropeTwist:Trope-based Narrative Structure Generation. In: Proceedings of the 13th Workshop on Procedural Content Generation, FDG: . Paper presented at The International Conference on the Foundations of Digital Games (FDG). Association for Computing Machinery (ACM)
Öppna denna publikation i ny flik eller fönster >>TropeTwist:Trope-based Narrative Structure Generation
2022 (Engelska)Ingår i: Proceedings of the 13th Workshop on Procedural Content Generation, FDG, Association for Computing Machinery (ACM), 2022Konferensbidrag, Muntlig presentation med publicerat abstract (Refereegranskat)
Abstract [en]

Games are complex, multi-faceted systems that share common elements and underlying narratives, such as the conflict between a hero and a big bad enemy or pursuing a goal that requires overcoming challenges. However, identifying and describing these elements together is non-trivial as they might differ in certain properties and how players might encounter the narratives. Likewise, generating narratives also pose difficulties when encoding, interpreting, and evaluating them. 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. To demonstrate the system, we represent the narrative structure of three different games. We use MAP-Elites to generate and evaluate novel quality-diverse narrative graphs encoded as graph grammars, using these three hand-made narrative structures as targets. Both hand-made and generated narrative graphs are evaluated based on their coherence and interestingness, which are improved through evolution.

Ort, förlag, år, upplaga, sidor
Association for Computing Machinery (ACM), 2022
Nyckelord
Authoring Tools, Narrative Generation, Evolutionary Computation, MAP-Elites, Computer Games
Nationell ämneskategori
Datavetenskap (datalogi) Människa-datorinteraktion (interaktionsdesign)
Forskningsämne
Interaktionsdesign
Identifikatorer
urn:nbn:se:mau:diva-54331 (URN)
Konferens
The International Conference on the Foundations of Digital Games (FDG)
Tillgänglig från: 2022-08-05 Skapad: 2022-08-05 Senast uppdaterad: 2022-12-07Bibliografiskt granskad
Projekt
Beteendeförändring orsakat av olika grader av brädspelsdigitalisering - Ett Egocentric Interaction Interventions pilotprojekt
Organisationer
Identifikatorer
ORCID-id: ORCID iD iconorcid.org/0000-0002-7738-1601

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