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Game Design

Last updated March 3, 2022

Related: games

Game Design and Teaching

Source: Game designers vs. education researchers on unguided instruction by Andy Matuschak

A mistake we made early on was looking primarily at metrics like retention and monetization. These simply don’t tell us much about what motivates players to play. If I were to build the game again, I would have implemented the togetherness metric for the very first private alpha.

A lot of pedagogy is covers the same questions as game design (especially tutorials): how much explicit guidance should a student/player get in an activity?

The “ vow of silence”: to preserve the joy of discovery, games should carefully structure their activities so that players will learn what they need through play. An approach very similar to the constructionist ones found in Mindstorms

The goal is to give users/players the freedom to manage their own position relative to their own intellectual “sweet spot”

Economics and Game Theory

Source: Prosocial economics for game design by Daniel Cook

Multiplayer games can help build a player’s social support network. What would game design look like if our goals included reducing loneliness, decreasing toxicity and boosting a player’s positive connections with others?

# Loneliness

The loneliness epidemic is a real thing. It has been medically associated with mortality, depression, and more. In aggregate, chronic loneliness is estimated to shorten lifespan by an average of 15 years.

Advancing age also makes us more likely to be lonely. Especially as we work on longevity research, this is a pressing issue to try to solve.

The best games are designed to be played with friends.

# Toxicity

At the root of much toxicity is the misdirection of our human need to belong

When humans feel like they lack membership in healthy, eudaimonic, organizations, they experience stress and seek to rapidly remedy the situation (e.g. lashing out at others in hopes that putting others down helps them rise in status).

In toxic systems every new user is potentially rewarded if they adopt toxic behaviours.

# Prosocial Game Design

Three main pitfalls

  1. Psychology: there are a lot of requirements to build friendships, like right sized groups of people, correct density, and engagement in mutually dependent reciprocal activities.
  2. Logistics: rigid human limits on how many relationships they can maintain and how long it takes them to form new ones (see: group limits)
  3. Economics: games are built on an economic foundation of resources (creation, transformation, trade, and consumption). However, it is hard to get economic incentives to align with those of social behaviour. “In particular, many of the key elements required by the psychological and logistical aspects of friendship formation are systematically undervalued within common economic practices.”

Boundaries between the real world and the virtual world

There’s limited permeability of the boundary between the real world and the cartoon world. You can think of this as the designer writing out the import / export laws for their bubble of play

# Elements of the internal economy

Then agents who perform operations:

From these, we can model various phenomena like feedback loops and ownership

We can then use these to influence incentive structures to balance games (e.g. improve a drop rate of a weapon to better increase the rate at which a key boss is defeated)

Examples of internal economic systems:

# Prosocial Values


# Measuring Trust

Trust is an internal factor that cannot be measured directly so instead we need to rely on proxies.

  1. Pairwise bonds: There are two different (asymmetric) bonds for any given pair of player; the bond player A to player B and the bond from player B to player A.
  2. Active time spent together: One of the easiest symmetric bond proxies is simply tracking if players are in the same area together.
  3. Success together in high trust situations
  4. Time spent talking positively to each other

However, this ’trust value’ should not be public for the sake of avoiding converting it into a metric to optimize for: Goodhart’s Law. Doing so may transform relationships into ones which are transactional in nature with clear extrinsic motivators in the form of your willingness to make that number go up or down. (This is also one of the reasons why ‘likes’ in social media end up being a source of toxicity and in general a very poor practice.)

One also needs to keep in mind that trust differs across social contexts

For new players, one of the scariest things is requirement to engage in specialized, high coordination group performances. Building towards high trust using a ladder:

Positive Sum Resources

An economy of zero sum resources is a world of scarcity. The challenge economics attempts to solve is how we might split up these limited resources in an efficient fashion.

In virtual worlds, we can make almost any resource positive sum. When a monster drops loot for one player, it can also drop loot for any other player that did damage.

However, truly abundant worlds are not super fun to play in. How can we design for infinite source and imbalanced economies?

Interactive Graph