Man vs robot: are self-reported emotions congruent with software output?

Advancements in technology are transforming data collection methods in experimental economics, enabling more sophisticated insights into human behavior. Tools capable of monitoring and reporting subjects' emotions during experiments provide a richer understanding of economic decision-making and the psychological mechanisms driving it. This marks a significant improvement over traditional approaches that relied solely on self-reported emotional evaluations, which are prone to biases and inaccuracies. By integrating self-reported evaluations with emotion-tracking technologies, researchers can achieve a more precise estimation of subjects' emotions. Understanding the differences between these two methods is crucial for developing accurate measures that enhance the reliability and depth of analysis in experimental economics.