EBPVis: Visual Analytics of Economic Behavior Patterns in a Virtual Experimental Environment
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Date
2024
Journal Title
Journal ISSN
Volume Title
Publisher
© 2024 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd.
Abstract
Experimental economics is an important branch of economics to study human behaviours in a controlled laboratory setting or out in the field. Scientific experiments are conducted in experimental economics to collect what decisions people make in specific circumstances and verify economic theories. As a significant couple of variables in the virtual experimental environment, decisions and outcomes change with the subjective factors of participants and objective circumstances, making it a difficult task to capture human behaviour patterns and establish correlations to verify economic theories. In this paper, we present a visual analytics system, , which enables economists to visually explore human behaviour patterns and faithfully verify economic theories, . the vicious cycle of poverty and poverty trap. We utilize a Doc2Vec model to transform the economic behaviours of participants into a vectorized space according to their sequential decisions, where frequent sequences can be easily perceived and extracted to represent human behaviour patterns. To explore the correlation between decisions and outcomes, an Outcome View is designed to display the outcome variables for behaviour patterns. We also provide a Comparison View to support an efficient comparison between multiple behaviour patterns by revealing their differences in terms of decision combinations and time‐varying profits. Moreover, an Individual View is designed to illustrate the outcome accumulation and behaviour patterns of subjects. Case studies, expert feedback and user studies based on a real‐world dataset have demonstrated the effectiveness and practicability of in the representation of economic behaviour patterns and certification of economic theories.
Description
@article{10.1111:cgf.15200,
journal = {Computer Graphics Forum},
title = {{EBPVis: Visual Analytics of Economic Behavior Patterns in a Virtual Experimental Environment}},
author = {Liu, Yuhua and Ma, Yuming and Shi, Qing and Wen, Jin and Zheng, Wanjun and Yue, Xuanwu and Ye, Hang and Chen, Wei and Meng, Yuwei and Zhou, Zhiguang},
year = {2024},
publisher = {© 2024 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd.},
DOI = {10.1111/cgf.15200}
}