A React.JS game developed for the Center for Computational Psychiatry at Mount Sinai.
The game is a variation of the two-stage behavioral task paradigm without explicit external rewards, developed for both local and online deployment.
Based on the "two-stage" task paradigm in cognitive behavioral research, players make sequential choices to grow roses in a garden. The game measures task perseverance through players' color preferences over time.
The game features probabilistic mapping between choices and outcomes:
- Stage 1: Store selection influences available gardeners (e.g. 80-20 probability split)
- Stage 2: Gardener selection affects rose color (e.g. 80-20 probability or red/yellow roses)
Note: Probability split in each stage can be reconfigured to fit experiment needs.
Players interact with:
- 2 gardening stores
- 2 pairs of gardeners
Players make two consecutive choices each round:
- Select a gardening store
- Choose a gardener
These choices result in planting either a red or yellow rose in the garden.
Data points include the following:
- gameStartTime
- timestamp
- stage
- subjectId
- trial
- timeFromStart
- timeFromStage1Start
- userChoice
- selectedStore
- gardenerPair
- timeFromStage2Start
- selectedGardener
- gardenerProbabilities_red
- gardenerProbabilities_yellow
- roseColor
- rosePosition_x
- rosePosition_y
Data is saved locally to CSV, either at the end of the game or upon user exiting the game.
Author: Ember Zhang, [email protected]
Principal Investigator: Dr. Vincenzo Fiore, [email protected]