Visual Analysis of Economic Decision-Making and Wealth Change under Simulated Situations

Abstract

<p indent=0mm>For the large-scale high-dimensional and dynamic data generated in economic experiments, a visual analysis method is proposed to explore the experimental data of real-effort tasks under simulated situations based on our cooperation with experimental economics experts. A parallel coordinate-like information diagram is designed to give an overview of the experimental process and individual behaviors. Interactive decision tree view, time-series wealth view, and general decision Sankey view are provided to explore the correlation between participants’ behaviors and wealth change. Further, a visual analysis system integrating the visual designs and data mining models is developed for domain experts to analyze the decision-making behaviors and key factors on the wealth change, and provides evidence for the internal mechanism of poverty generation and cycle deterioration. Case studies and expert feedbacks based on real data verify the effectiveness of our system.