What Makes Games FUN (Psychology in Gaming)

Overview: Scientific Concepts, Discoveries, and Nature Phenomena

“Fun” as a Neurobiological Reward

• “Fun” is described as a boost of dopamine when learning something new.
• Learning generates pleasure and satisfaction.

Evolutionary Programming to Enjoy Learning

• Humans are portrayed as “programmed” to enjoy learning because historically it improved survival.
• The claim is that without beneficial learning, humans would not have survived evolutionarily.

Why Learning in Games Feels Safer Than in Real Life

• Games allow players to learn and improve without severe real-world consequences.
• This can make games:
  • less anxiety-inducing
  • more predictable/calm
• As a result, players are more willing to experiment.

Boredom as a Function of Reduced Learning

• Humans are pattern learners.
• Boredom occurs when there are no new patterns left to learn.
• Games can become boring if, for example:
  • patterns don’t match the player’s personal interests
  • patterns are too trivial or too complex (or revealed at the wrong pace)
  • players can cheat, undermining the learning/challenge loop

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Game Design Theory: A “6-Category” Model

A framework attributed to A Theory of Fun groups gameplay patterns into six categories, each linked to evolvable cognitive skills:

1. Calculation of odds & prediction of events

   • Example: probability-based games (e.g., backgammon dice decisions)
   • Real-life analogy: risk vs. reward (e.g., college vs. work)

2. Social status patterns

   • Signaling value; pushing others up/down ranks
   • Emotions tied to status competition
   • Example: Overwatch competitive ladder

3. Spatial reasoning

   • Thinking ahead; analyzing possible move outcomes in puzzles

4. Memory

   • Remembering/managing complex information chains
   • Example: counting cards, blackjack

5. Visceral responses

   • Physical reactions to nonphysical stimuli
   • Example: shooter games

6. Teamwork

   • Coordinating with others toward shared goals
   • Common in multiplayer games

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Mechanics vs. Gameplay Paradigms

• Game mechanics: the building blocks (e.g., moving a chess piece).
• Gameplay paradigms / core dynamics: define victory conditions (e.g., capturing the opponent’s key piece).

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“Holy Grail” Design Goal

A desired challenge system that:

• provides never-ending challenges
• uses a wide range of skills
• applies a difficulty curve that adjusts to the player’s skill level

Endless Challenge via Opponents

• Head-to-head competition is described as producing an infinite set of challenges via continuous difficulty variation.

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Why Games Stagnate

• New games are often derivative: they borrow mechanics from earlier titles rather than adding new dimensions.
• As players master provided mechanics, novelty declines, and boredom increases.

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Innovation Through Combining Mechanics

• Better innovation comes from creating new ways to combine mechanics, not just changing surface details.
• Example: Super Mario shifting from rectangular blocks to hexagons is considered “small,” but moving across two separate worlds at once represents a larger pattern shift.

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Individual Differences in Preferences

• People tend to gravitate toward patterns that align with their natural strengths (e.g., sports vs. Scrabble).

Tailoring Game “Personalities” to Player Types

• High-level example mapping:
  • Resource gathering / ability progression → roleplaying games
  • High physical activity → games that involve moving one’s body

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Metaphor vs. Underlying Mechanics

• Many games use fictional themes, but players often focus on the winning pattern.
• Example: checkers uses a royalty/crown metaphor, but players focus on the move patterns rather than the backstory.

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Proposed Test of Fun

• If a game is fun without graphics, music, sound, or story, then adding features will amplify the fun.
• If it isn’t fun, extra features won’t necessarily fix the underlying issue.

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Methodologies / Frameworks Outlined

Framework: “A Theory of Fun” (Six Categories)

• Odds calculation & event prediction (probability)
• Social status and rank competition
• Spatial reasoning / future outcome planning
• Memory / information chains
• Visceral responses (physical reactions to nonphysical events)
• Teamwork (coordinated goal achievement)

Game-Fun Model (Implied Causal Chain)

• Fun ↔ dopamine reward for learning
• Learning in games feels safer because of reduced real-life consequences
• Fun persists when games:
  • teach new patterns at a good pace
  • fit player interests
  • avoid trivialization/overcomplexity
  • limit cheating that breaks the learning loop
  • scale difficulty to maintain challenge

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Featured Researchers or Sources

• RAF Costa — author of A Theory of Fun