This paper presents a method for generating player-driven narratives from visual inputs by exploring the visual analysis capabilities of multimodal large language models. By employing Bartle’s taxonomy of player types—Achievers, Explorers, Socializers, and Killers—our method creates stories that are tailored to different player characteristics. We conducted a fourfold experiment using a set of images extracted from a well-known game, generating distinct narratives for each player type that are aligned with the visual elements of the input images and specific player motivations. By adjusting narrative elements to emphasize achievement for Achievers, exploration for Explorers, social connections for Socializers, and competition for Killers, our system produced stories that adhere to established narratology principles while resonating with the characteristics of each player type. This approach can serve as a helping tool for game designers, offering new insights into how players might engage with game worlds through personalized image-driven narratives.
LINK
New online stores and digital distribution methods have led to the development of alternative monetization models for video-games, such as free-to-play games with advertisements. Although there are many games using such models, until now the effect on the player experience from such interruptions has not been studied. In this controlled experiment, we requested that participants (N=236) play one of three different versions of a platformer game with: 1) no interruptions, 2) 30-second video advertisements, and 3) a multiple-choice questionnaire. We then evaluated the effects on the player experience. The study shows differences in their experiences, namely in: competence, immersion, annoyance, affects, and the reliability of the questionnaire answers. The contribution of this work is to identify which player experience variables are affected by interruptions, which can be valuable for selecting the business model and guiding the game design process.
LINK
This paper addresses the procedural generation of levels for collaborative puzzle-platform games. To address this issue, we distinguish types of multiplayer interaction, focusing on two-player collaboration, and identify relevant game mechanics for a puzzle-platform game, addressing player movement, interaction with moving game objects, and physical interaction involving both players. These are further formalized as game design patterns. To test the feasibility of the approach, a level generator has been implemented based on a rule-based approach, using the existing tool called Ludoscope and a prototype game developed in the Unity game engine. The level generation procedure results in over 3.7 million possible playable level variations that can be generated automatically. Each of these levels encourages or even requires both players to engage in collaborative gameplay.
DOCUMENT
This paper investigates strategies to generate levels for action-adventure games. For this genre, level design is more critical than for rule-driven genres such as simulation or rogue-like role-playing games, for which procedural level generation has been successful in the past. The approach outlined by this article distinguishes between missions and spaces as two separate structures that need to be generated in two individual steps. It discusses the merits of different types of generative grammars for each individual step in the process. Notably, the approach acknowledges that the online generation of levels needs to be tailored strictly to the actual experience of a player. Therefore, the approach incorporates techniques to establish and exploit player models in actual play.
DOCUMENT
To prevent the social worker being jammed between the economic and rationalized logic of managers and politicians on the one hand, and the life world of the people on the other, he needs to develop a healthy identity. The social constructive view can help to overcome the identity crisis the social professional is in. It offers a model to analyze the conflict a social professional has to deal with, and forces the social worker to make a clear and moral choice for the life world of his clients. This view seems also suitable to develop an indigenous body of practice theory for social work. The presence theory, the family group work and constructive social work demonstrates the possibilities. To regain confidence from both the people and the politicians, the rationalized system of planning and control has to be replaced by the trust model. To develop this model we have to find ways to justify the money used in this sector.
DOCUMENT
When we make games, we have many implicit understandings of what constitutes an interaction from a player and what constitutes their goal for playing; however, in trying to build a method of understanding a simple interaction (such as finding a key to open a gate) numerous limitations of our understanding were revealed. This talk presents Prof. Mata Haggis-Burridge’s and Thomas Buijtenweg’s development of a new model for understanding video games and interactive media: the Journey to Content. The approach looks at core structural elements of digital games and breaks them down into constituents that help us to understand the player, content, gates, and keys. This model presents an unusual and revealing insight into both the structure of existing games and the assumptions that are usually sublimated by creators. Unlike high-level analysis models, such as the MDA Framework and Bartle’s Taxonomy of Players, the Journey to Content model examines the moment-to-moment interactions of players within both the system of the game and their wider societal context. Early application of the concepts from the model have shown that it has practical use for designers, and that it has potential for stimulating new game concepts. The model also has implications for metrics analysis and study/development of interactive systems beyond games. The talk also contains information about four types of ‘immersion’ in video games: systems immersion, spatial immersion, social/empathic immersion, and narrative immersion. It is discussed how these four types can be impacted in a variety of positive and negative ways by an individual change to a game. These four types of immersion are then compared and combined with the Journey To Content model to reveal new research questions.
DOCUMENT
The term ‘immersion’ is used frequently by professional video game developers (in both the entertainment and serious/applied industries), academics, journalists, and players. However, this word can refer to a range of different modes of engagement for players and standardisation would improve discussion of the topic. This paper suggests and explains four categories: 1. 'Systems immersion' can be used to describe when players are deeply engaged with the mechanics, challenges, and rules of a game, and is similar to a state of ‘flow’. 2. 'Spatial immersion' is the sense of a player being present in, or transported to, the virtual world, and is linked to the concept of embodiment. 3. 'Empathic/social immersion' describes the connection that a player may develop towards the characters (AI or human) and the social context of a game.4. 'Narrative/sequential immersion' can be used to describe a player’s compulsion to see how a sequence of events continues, typically in a narrative, but this is related to any progression, such as exploring new spaces or evolving gameplay mechanics.
MULTIFILE
Substitution is an essential tool for a coach to influence the match. Factors like the injury of a player, required tactical changes, or underperformance of a player initiates substitutions. This study aims to predict the physical performance of individual players in an early phase of the match to provide additional information to the coach for his decision on substitutions. Tracking data of individual players, except for goalkeepers, from 302 elite soccer matches of the Dutch ‘Eredivisie’ 2018–2019 season were used to enable the prediction of the individual physical performance. The players’ physical performance is expressed in the variables distance covered, distance in speed category, and energy expenditure in power category. The individualized normalized variables were used to build machine learning models that predict whether players will achieve 100%, 95%, or 90% of their average physical performance in a match. The tree-based algorithms Random Forest and Decision Tree were applied to build the models. A simple Naïve Bayes algorithm was used as the baseline model to support the superiority of the tree-based algorithms. The machine learning technique Random Forest combined with the variable energy expenditure in the power category was the most precise. The combination of Random Forest and energy expenditure in the power category resulted in precision in predicting performance and underperformance after 15 min in a match, and the values were 0.91, 0.88, and 0.92 for the thresholds 100%, 95%, and 90%, respectively. To conclude, it is possible to predict the physical performance of individual players in an early phase of the match. These findings offer opportunities to support coaches in making more informed decisions on player substitutions in elite soccer.
DOCUMENT
In adult football, small-sided games are associated with increased action variability and suggested to promote more creative actions compared to regular 11v11 formats. This aligns with predictions from an ecological approach to perception and action that creative actions emerge in environments that grant variability in action, instead of being an expression of the individual player's ability to generate ideas. To further evidence for this prediction, the current study aimed to expand this observation to elite youth football players. To this end, the number of different and creative actions in 4v4 small-sided game and a 11v11 regular-sided game among 10- to 12-year-old elite football players were examined. We analyzed a total of 7922 actions, which were categorized for type and creativity. Based on a subset of these actions, a panel of elite football coaches judged action types occurring below 0.5% as significantly more creative than more frequent action types. Hence, we used an occurrence of 0.5% as threshold to distinguish creative actions from non-creative actions. The results showed that the total number of actions, the number of different action types, the number creative actions and the number of different creative action types was significantly higher for the small-sided game format than the regular-sided game. In conclusion, this study confirms that in elite youth football, small-sided games induce a more variable and creative action repertoire. This shows that practitioners can design learning environments that promote the emergence of creative actions.
DOCUMENT
