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EBPVis: Visual Analytics of Economic Behavior Patterns in a Virtual Experimental Environment.

Authors :
Liu, Yuhua
Ma, Yuming
Shi, Qing
Wen, Jin
Zheng, Wanjun
Yue, Xuanwu
Ye, Hang
Chen, Wei
Meng, Yuwei
Zhou, Zhiguang
Source :
Computer Graphics Forum. Sep2024, Vol. 43 Issue 6, p1-16. 16p.
Publication Year :
2024

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, EBPVis, which enables economists to visually explore human behaviour patterns and faithfully verify economic theories, e.g. 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 EBPVis in the representation of economic behaviour patterns and certification of economic theories. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01677055
Volume :
43
Issue :
6
Database :
Academic Search Index
Journal :
Computer Graphics Forum
Publication Type :
Academic Journal
Accession number :
179808122
Full Text :
https://doi.org/10.1111/cgf.15200