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Abstract
Since mouse-tracking paradigm came under the spotlight two decades ago, by providing mouse cursor trajectories, it has been applied by behavioral scientists to a variety of topics to help understand real-time psychological state when people are faced with multiple choices. In this article, we provide a comprehensive, documentation of experimental economics studies with mouse-tracking paradigm. Among these studies, some focus on measuring choice uncertainty including subject uncertainty, temporal uncertainty, and probabilistic uncertainty; the rest are concerned with economic games including bargaining games and social dilemma games. Why and how these works employ mouse-tracking technique in their experiments is elaborated in detail. Finally, limitations of mouse-tracking paradigm are discussed, and research opportunities are proposed. Basic know-hows are appended as a general guide for interested readers.
Highlights
Computerized experiments are favored by experimental economists because of the high efficiency and accuracy
Mouse-tracking has emerged in the beginning of the 21th century as an economical alternative to eye-tracking
We aim to summarize an array of studies with cursor dynamics in economics and how it can be further exploited
Summary
Computerized experiments are favored by experimental economists because of the high efficiency and accuracy. Mouse-tracking is a computer-based program that records cursor position information of computer users and offers abundant real-time data of decision-making process, and it is referred to as response dynamic. Mouse-tracking technique has been utilized as a tool for cognitive science, economics, and computer science studies, where researchers can drill deep into computer users’ real-time decision-making process. We aim to summarize an array of studies with cursor dynamics in economics and how it can be further exploited. The interpretation on those articles focuses on (1) what problem they address and (2) how mouse-tracking technique was utilized, regardless of theoretical frameworks. The literature search for this review was concluded in July 2019
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