Source-linked AI summary

A Conceptual Framework for Modeling Team Adaptation in Cooperative Games Through Ludic Knowledge

Caleb Vatral

arXiv:2608.28729v1cs.HCcs.MM

TL;DR

The paper addresses limited understanding of how cooperative-game design influences team adaptability, an important issue for game-based teamwork training. It proposes a ludic-knowledge framework and illustrates it through qualitative interaction analysis of Overcooked! gameplay, identifying adaptive cues as retrieval or disruption. The framework offers an initial vocabulary for describing game-created adaptation demands, but its conclusions are exploratory and limited by a small, nondiverse sample and restricted access to players’ internal knowledge.

  • Problem

    Although cooperative games are promising for teamwork training, comparatively little research examines how game design influences team adaptability behaviors.

  • Method

    The paper synthesizes adaptive-stimulus and ludic-knowledge theories, then applies the framework through qualitative interaction analysis of one team playing World 1 of Overcooked!.

  • Results

    The framework characterizes adaptive stimuli as retrieval or disruption of ludic knowledge and provides an initial vocabulary for describing how cooperative games create demands for team adaptation.

  • Takeaways & Limitations

    The framework may help inform the design and evaluation of purpose-built game-based teamwork training environments as it is further developed.

  • Takeaways & Limitations

    The study is exploratory and limited by a small, nondiverse sample, found gameplay footage, and limited access to players’ internal expectations and knowledge.

Abstract

from arXiv · show

With the increasing importance of teamwork skills for modern workplaces, development of teamwork training programs has received substantial attention. Game-based teamwork training is one promising approach that is engaging, cost-effective, and well-suited to increasingly decentralized workplaces. However, design of effective game-based teamwork training requires understanding how a game elicits specific desired teamwork behaviors. Significant progress has been made in characterizing these relationships. However, despite its critical importance, little work has examined how a game's design influences team adaptability behaviors. This paper presents a preliminary framework for analyzing adaptability in cooperative games by conceptualizing adaptive stimuli as retrieval or disruption of players' ludic knowledge. We illustrate this framework through a qualitative case study that applies interaction analysis methods to gameplay videos of a Overcooked!, a cooperative cooking game. We examined instances where game events led to players altering their behavior and connected the game's design features that resulted in each event with three adaptive stimulus cue categories. Although exploratory and limited to a small case study of a single game, the proposed framework is grounded in established theories across teamwork research and game studies, and it offers an initial vocabulary for describing how cooperative games can be designed to create demands for team adaptation. With this continued development, the framework may provide an analytic tool to help inform the design and evaluation of purpose-built game-based teamwork training environments.

1 Introduction

The paper addresses limited research on how cooperative-game design influences team adaptability and proposes a preliminary framework to analyze that relationship. It illustrates the framework through qualitative gameplay analysis and positions it as an initial vocabulary for designing and evaluating game-based teamwork training.

  • Teamwork training increasingly considers cooperative digital games because they are engaging, cost-effective, and suited to decentralized workplaces.
  • Despite established links between game design and teamwork behaviors, comparatively little research has focused on adaptability.
  • The framework models adaptive stimuli as events that activate or disrupt players’ ludic knowledge.
  • A qualitative case study of World 1 in Overcooked! used interaction analysis to identify behavior-changing task demands and classify their game-design features by adaptive stimulus cue type.
  • The model offers an initial vocabulary for describing game-created demands for team adaptation and may inform purpose-built teamwork training environments.
  • The paper contributes a theoretical framework and an empirical illustration using ecologically valid gameplay footage to characterize events as activation or disruption of team ludic knowledge.

2 Adaptive Stimulus Cues

The framework explains team adaptation in games through adaptive stimulus cues linked to players’ ludic knowledge. Cues either retrieve compatible knowledge or disrupt existing schemata, with disruption divided into novelty- and discrepancy-based forms.

  • Team adaptability is a four-phase cycle in which teams assess situations, formulate and execute plans, and learn from adaptation.
  • In games, stimulus cues arise from in-game elements, events, and mechanics, activating shared ludic knowledge that shapes players’ expectations and actions.
  • Retrieval occurs when newly observed cue information fits existing schemata, allowing players to recall and use adaptive knowledge without substantial change.
  • Disruption occurs when new information conflicts with existing schemata and requires restructuring them or constructing new knowledge.
  • The conceptual model uses cognitive-mode theory to categorize conditions under which teams detect adaptive stimuli and engage in conscious processing.
  • Disruption-based cues include novelty-based events requiring new knowledge, discrepancy-based events requiring expectation updates, and retrieval-based cues signaled explicitly when existing knowledge remains applicable.

3 Methods

The study applies the framework to one four-person team playing World 1 of Overcooked!, a cooperative cooking game with changing hazards that require coordination. Researchers analyze found gameplay video and player voice to identify observable adaptation sequences.

  • The case study follows one team of four people playing through World 1 of Overcooked!.
  • Overcooked! requires players to coordinate simplified cooking actions while navigating hazards designed to impede progress.
  • Figure 2 depicts Level 1-3 countertop positions shifting between the left-and-center and center-and-right parts of the level.
  • Changing hazards within levels make Overcooked! suitable for studying adaptation.
  • The analysis uses YouTube gameplay recordings and player voice as naturally occurring secondary data, then applies interaction analysis to observable team-adaptation sequences.

4 Results

The case study identifies novelty-based, discrepancy-based, and explicit signal-based cues that prompt adaptation by disrupting or retrieving players’ ludic knowledge. Examples show teams changing positions, roles, and task focus, while existing knowledge may be activated without guaranteeing coordinated responses.

  • Novelty-Based Cues: Novelty-based cues were the most commonly observed adaptive stimulus, arising when players encountered completely new game elements without explicit intra-ludic knowledge.In Level 1-3, the pirate-ship kitchen’s moving countertops introduced a novel layout change.
  • Novelty-Based Cues: When the ship tilted and countertops moved, players’ established role distribution became difficult to execute, forcing rapid positional adjustments and slowing progress.The team preserved role assignments while shifting physical positions, and a pot nearly caught fire.
  • Novelty-Based Cues: Repeated layout shifts became smoother as players developed intra-ludic knowledge, turning novelty-based disruptions into retrieval-based cues.Players learned quicker transition paths, and one temporarily entered another player’s role during a transition.
  • Discrepancy-Based Cues: Discrepancy-based cues occurred when game observations conflicted with established expectations, as when players expected a sink but encountered clean returned plates and no sink.The team initially failed to revise its knowledge because Player 1 misidentified the trash can as the sink.
  • Explicit Signal-Based Cues: Explicit signals retrieved existing ludic knowledge about changing demands, including timers, cooking indicators, and warning beeps, but recognition did not always produce coordinated adaptation.The warning beep prompted players to remove food from the burner, yet their simultaneous responses caused interference.

5 Discussion and Conclusion

The framework offers design implications for eliciting team adaptability, while its exploratory evidence limits the conclusions and leaves response quality for future study. Broader game samples and more controlled methods are needed to test cue generality and better assess adaptation.

  • Implications for Design: Novelty can promote adaptation through incremental mechanic additions, but relying on one cue type may neglect other adaptation skills.The framework distinguishes different cognitive and interactional demands across cue types.
  • Implications for Design: Discrepancy cues can make previously successful strategies conditionally inappropriate, prompting knowledge revision and reorganization.This may matter especially in environments with limited or changing information.
  • Implications for Design: Explicit signals draw attention to changing task demands according to their salience, but recognizing adaptation needs does not ensure effective coordinated execution.The discussion therefore separates noticing a cue from successfully responding as a team.
  • Limitations and Future Work: The empirical analysis used a small and insufficiently diverse sample, so the findings should not be overgeneralized.Future studies should apply the framework across more cooperative games to test whether the three cue types generalize or require additions.
  • Limitations and Future Work: The framework currently emphasizes recognizing adaptive stimuli rather than evaluating the quality of adaptive responses.Extending it to response quality is identified as important for supporting game-based teamwork-training design.
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