Interdisciplinary video games combine science, art and storytelling by turning research-backed ideas into systems that players can see, hear, manipulate and care about. Science supplies the rules and causal relationships; art makes those rules perceptible and emotionally legible; storytelling gives players goals, characters and stakes. In a strong game, these are not separate layers. A player learns a scientific relationship by making a choice, seeing a consequence, interpreting an audiovisual world and deciding what to do next.
That design can support genuine learning, but it is not automatic. Scientific claims need evidence, mechanics must match the intended concept, and teachers or facilitators often need to help players connect an in-game model with the real world.
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What makes a video game interdisciplinary?
A game is interdisciplinary when several fields contribute to one coherent player experience rather than appearing as unrelated content. A biology fact displayed in a menu is not, by itself, an interdisciplinary design. The game becomes interdisciplinary when biology determines the rules, visual and audio design helps players perceive those rules, and a narrative goal makes the consequences meaningful.
Three questions reveal whether the disciplines are genuinely integrated:
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- What does the science do? It should define relationships that affect play: a resource changes, a system becomes stable or unstable, or a decision produces a measurable consequence.
- What does the art explain? Composition, animation, sound, level architecture, character design and physical controls should show players what matters and how the system feels.
- What does the story motivate? Characters, missions and world-building should give players a reason to investigate, experiment and revise their approach.
The result is a playable model. Players do not merely read that two variables are connected; they test the connection through action. That distinction is why interdisciplinary games can communicate ideas that are difficult to convey through a linear explanation alone.
How science becomes something a player can do
Rules, models and consequences
Designers begin by identifying the concepts, evidence and causal relationships the game must represent. They then encode those relationships as rules, simulations, puzzles or resource systems. The player’s action should mirror the concept as closely as possible. If the learning goal concerns ecological balance, for example, changing one population should alter other parts of the system rather than simply awarding points for selecting the right answer.
The interaction-table method
The Journal of Science Communication case study on Symbiosville recommends a structured process: review current literature, interview subject experts, and create an “interaction table” that maps every game choice to research-backed consequences. This makes scientific assumptions visible to the whole team. A designer can see which consequence is supported by evidence, which is a deliberate simplification and which still needs validation.
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Simulation is not the same as reality
Every game leaves something out. The goal is not to reproduce an entire discipline but to preserve the relationships needed for the learning objective. A useful design document states what the model includes, what it omits and what players should understand after play. A post-game explanation can then distinguish the game’s abstraction from the more complex real system.
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How art and interface explain invisible systems
Art is not decoration added after the science is finished. It determines what players notice, how quickly they understand a change and whether an abstract relationship feels tangible. Colour, scale, movement, sound and spatial arrangement can all function as explanatory signals.
Visual and spatial communication
Animation can show a population growing or declining; a changing landscape can reveal cumulative effects; and level architecture can turn a sequence of dependencies into a path that players physically traverse. Consistent visual language reduces the amount of text players must read before acting.
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Audio can signal a system reaching danger, reward experimentation or make a character’s situation emotionally understandable. Music and sound effects should reinforce the meaning of a change rather than distract from it. When a scientific event has no obvious visual form, carefully designed audio can make it perceptible.
Physical and multitouch controls
Interfaces can make relationships manipulable. In Oztoc Expedition, children use a multitouch tabletop and tactile blocks to build virtual circuits that attract bioluminescent creatures. The physical arrangement of blocks becomes part of the explanation: children can alter a circuit, observe what happens and try another configuration. The installation also supports rapid exploration, real-time telemetry and multiple camera views, allowing researchers to study how programming and design learning develop during play.
NEMO Science Museum’s Game On exhibition treats games as an art form and includes a Maker Space where visitors build a level and play it immediately. That short loop from making to playing demonstrates how interface, visual composition and systems thinking can be learned through the same activity.
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How storytelling supplies motivation and context
Characters and stakes
A narrative answers the player’s implicit question: “Why should I care about this system?” A character who depends on a healthy environment, an expedition that must discover a new life-form or a community facing a crisis turns an abstract variable into a decision with consequences.
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Missions as interdisciplinary structure
Stories can connect subjects that would otherwise be taught separately. A mystery may require scientific investigation, mathematical reasoning, interpretation of historical evidence and communication through language or art. The story supplies a reason to move between methods instead of presenting each discipline as a separate lesson.
Agency rather than passive exposition
Interactive storytelling lets players form hypotheses, act on them and revise them. A cut-scene can explain a concept, but a playable dilemma asks the player to use it. The most effective narrative moments therefore emerge from the same systems that carry the science.
Three examples of the combination in practice
| Game or project | Scientific focus and mechanic | Art, story and collaboration | Evidence and limitation |
|---|---|---|---|
| Symbiosville | Players make food and activity choices for a character; those choices alter simulated microbiome diversity. | A touchscreen social simulation inspired by life-simulation games, developed for MOD.’s 2019 HEDONISM exhibition. | Literature review and researcher interviews supported the interaction table. Players understood links between choices and microbiome health, but individual screens limited peer comparison and cooperation. |
| Oztoc Expedition | Children construct virtual circuits with tactile blocks to lure bioluminescent creatures. | An expedition narrative set in Mexico, delivered through a multitouch tabletop, physical blocks and multiple camera views. | An NSF-funded collaboration among the Games+Learning+Society Group at the University of Wisconsin–Madison, New York Hall of Science and Learning Games Network. The installation supports research on programming and design learning. |
| Vanished | Students act as scientists solving a mystery and saving a planet through online mini-games and investigations. | Museum visits, real-world objects and online and in-person collaboration connect life science, environmental science, paleontology, archaeology, geology, anthropology, mathematics, arts and language arts. | MIT facilitators and Smithsonian scientists assisted participants, showing how human guidance can extend a game’s interdisciplinary reach. |
Symbiosville: microbiome science through choice
Symbiosville uses an event–choice–consequence structure. A player chooses food or activity for a character, and the simulated microbiome changes. Because the consequence follows the player’s own decision, the relationship between behaviour and microbiome diversity is easier to discuss than it would be in a static diagram.
The project also illustrates why social design matters. Although the installation was described as a social simulation and included networked possibilities, observations found that individual screen interactions did not produce strong peer-to-peer engagement. If comparison and cooperation are learning goals, designers may need shared objectives, visible group states or a facilitator-led discussion rather than assuming that connected devices will create collaboration.
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Oztoc Expedition: engineering made tangible
Oztoc Expedition frames circuit design as an expedition to discover bioluminescent life. The fictional setting gives children a reason to experiment, while the blocks and tabletop make electrical relationships visible and manipulable. Multiple camera views and telemetry allow the installation to capture what players try, not only whether they reach a final answer.
Vanished: a mystery spanning many fields
MIT’s Vanished asks students to save a planet by solving a mystery. Online mini-games, museum visits and real-world objects extend the story beyond a single screen. Its content crosses life and environmental sciences, paleontology, archaeology, geology, anthropology, mathematics, arts and language arts. Online and in-person collaboration, supported by MIT facilitators and Smithsonian scientists, gives students access to expertise while they interpret evidence.
Do games teach science better than stories?
One comparative museum study offers a useful but narrow answer. A 2017 study by Marko Radeta, Valentina Nisi, Vanessa Cesario and Sonia Matos compared a mobile game with a mobile story built around the same natural-history exhibit content. The study record reports higher excitement for the game and says children’s learning doubled in the game condition. Observations and skin-conductance measures were included.
This is evidence from one museum comparison, not a universal rule that games always outperform stories. The two formats may support different goals: a story can provide sustained context and empathy, while a game can make relationships testable through action. The fair comparison is therefore not “games versus stories” in general, but whether the chosen format matches the intended outcome and whether the experience includes explanation and reflection.
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A practical design process for an interdisciplinary game
- Define the learning outcome. State the relationship players should be able to explain or use, not merely the topic they will encounter.
- Map the real system. List variables, causal links, evidence and uncertainties. Decide which parts are essential to the outcome and which can be omitted.
- Build the interaction table. For every player choice, record the expected consequence, the scientific source or expert validation, and the feedback the player will receive.
- Choose a mechanic that mirrors the idea. Use construction for engineering, balancing or resource flows for systems thinking, and investigation for evidence-based reasoning. Avoid quiz questions when the concept depends on relationships.
- Design the story around the mechanic. Give players a character, mission or problem that requires them to use the model. Do not place the science in optional text while the main plot ignores it.
- Make the system legible through art. Use consistent visual, audio and spatial cues. Test whether players can infer what changed before reading an explanation.
- Prototype with representative players. Watch where players form incorrect mental models, not only where they become stuck. Revise rules, feedback and pacing together.
- Plan collaboration deliberately. Add shared goals, roles, visible group information or turn-taking if peer discussion is important. A network connection alone is not a social-learning strategy.
- Provide a debrief. Ask players to explain a decision, compare the game’s model with real evidence and identify what the simulation leaves out. The Symbiosville case and the Journal of Science Communication discussion both stress the importance of post-game debriefing.
- Evaluate more than completion. Combine observation, interviews, knowledge checks and evidence of transfer to a new problem. Excitement indicates engagement, not necessarily understanding.
What can go wrong?
Scientific simplification becomes misinformation
If a rule has no evidence base, players may remember it because it was embedded in a memorable system. Literature review, expert interviews and a documented interaction table make questionable assumptions easier to find and correct.
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Story overwhelms the model
A compelling plot can hide a weak learning mechanic. Check whether the player must use the scientific relationship to progress. If the same story works when the mechanic is removed, the disciplines are probably not integrated.
Visual polish masks poor feedback
Beautiful environments do not explain a system unless players can connect a visual or audio change to their action. Use early prototypes to test legibility before investing in final assets.
Individual play is mistaken for social learning
Players can sit together without discussing ideas. Shared goals, comparison tasks and a facilitated debrief are more reliable ways to create peer learning than simply placing several screens in one room.
Accessibility is treated as an afterthought
Important information should not depend on colour alone, tiny text, rapid timing or a single control method. Offer readable feedback, alternative input where possible and roles that let players contribute different strengths. Accessibility also improves scientific clarity because it forces designers to communicate a system through more than one channel.
How educators and museums can use these games
Before play, give learners a question rather than a glossary. During play, ask them to predict what a choice will change and record evidence from the system. After play, have them explain where the game is faithful to the real world and where it is simplified. A museum facilitator can connect virtual events to physical exhibits or objects, as Vanished did, while a classroom teacher can ask groups to compare different strategies and defend them with evidence.
For creators, the strongest partnership model brings subject experts, artists, writers, educators and software or interaction designers into the process early. The examples above include museums, universities, scientists and game-learning specialists because no single discipline can validate the full experience alone.
Further reading for designers and educators
Museums at Play: Games, Interaction and Learning, edited by Katy Beale and published in 2011, is a 653-page Smithsonian-cataloged volume containing more than 40 museum-game case studies. It is useful for readers who want broader theory and examples of how cultural institutions use play to support learning.
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Interdisciplinary video games work when the player’s action is simultaneously scientific inquiry, artistic perception and narrative decision-making. Research defines the model, art makes the model understandable, and story gives the player a reason to test it. The evidence supports real learning potential, including the 2017 museum finding of doubled learning in one game condition, but outcomes depend on the mechanic, the context, social design and the quality of the debrief. Treat the game as a carefully bounded model—not a replacement for science or teaching—and its three disciplines can strengthen one another instead of competing for attention.
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