media_multitasking_exploration_exploitation
This is a project analyzing the relationship between media multitasking and exploration vs. exploitation.
Data
The raw data and the processed data is contained in the data directory.
Functions
The functions used to fit the Kalman Filter model for four armed bandit task is contained in the utils/fit_function.py This function is a python implementation of the algorithm introduced in Daw et al. 2006.
Analysis
There are a total of three steps: Step 1: process meta data and the data from the questionaire. In this step, we build indices for media multitasking, curiosity and other demographic variables. Step 2: behavioral analysis. In this step, we filtered out outlier behavioral participants based on a Gaussian Mixture Model. Then we fitted the Kalman Filter Mean Tracking model to estiamte individual differences of exploration tendencies. Step 3: Applying statistical analysis to test hypothesis.