felix19350 / pandemic-game-narrative-poc Goto Github PK

Integrate graphs perhaps using Sascha's chart plot function

Mock up an updated interface with indicators for wellbeing/covid/economy numbers

What data do we want to surface to the player? Show what kinds of outputs we can generate

What would help give players a better sense of the changes in wellbeing/economy/covid that are happening, and to understand trends over time as well?

• Add a feature to the game state to track the sum of the intents of all the responses that the user has taken;
• Add a new field to each response that quantifies the intents.

Intents can be represented as:

{
"covid": ,
"economy": ,
"wellbeing": ,
}

Show players a map of their story paths compared with the ones they could have taken (together with others' % choice rate)

Examples (Detroit: Become Human):

https://resources.stuff.co.nz/content/dam/images/1/q/1/3/n/z/image.related.StuffLandscapeSixteenByNine.1240x700.1q0znp.png/1527133767609.jpg?format=pjpg&optimize=medium

https://cdn.arstechnica.net/wp-content/uploads/2018/05/Detroit_-Become-Human%E2%84%A2_20180514221222-640x360.jpg

Add a feature to the gamestate that tracks the wellbeing.

For now we will model the wellbeing as a percentage [0,100]

Update the gamestate to have access to the simulator developed in previous iterations. This will allow us to expose the underlying health and economic indicators and present graphs etc.

• Make end screen functioning to show player choices
• Add framework to show player choice popularity
• Nudge to play again and try locking down/not on end screen (encourage people to play again and lockdown/not lock down to learn that early lockdown is benficial)

Change

• public support / businesses / healthcare
  -->
• wellbeing / economy / health

for clarity

• Replace modals
• Test mobile interface on a range of simulated devices

Integrate simulator into game to get cases/economy data

Functionality to store and retrieve player's anonymous responses throughout the game to show a summary at the end of the game

Simple model: each month a set number of vaccines becomes available and that number/2 is deducted from the total population.

The current game features trade-offs between wellbeing, economy and COVID-19 cases.
Perhaps it would be helpful for us to be able to contextualize these ideas in some kind of a broader scientific framework to relate it outside of COVID-19 to ordinary daily life / policy making too.

Blake talked about the concepts of Pareto improvements and frontiers.
Pandemic response can be likened to Pareto improvements and frontiers, with vaccination & early lockdown as Pareto improvements, and smaller details such as for how long to remain in lockdown presenting a more blurred line - Pareto frontiers.

The message we want to send with the game is that there is no optimal strategy for dealing with the pandemic, you can't make everyone happy so you have to make a choice. There are some aspects however which are generally agreed to be in everyone's interest such as early lockdown and vaccination.

It would be good to explore whether integrating these concepts would help us send our message with the game?