In recent years interest in integrating the affective and decision sciences has skyrocketed.
Immense progress has been made, but the complexities of each field, which can multiply …

Economics is increasingly using process data to make novel inferences about preferences
and predictions of choices. The measurement of response time (RT), the amount of time it …

This paper explores the effects of integrating Generative Artificial Intelligence (GAI) into
decision-making processes within organizations, employing a quasi-experimental pretest …

Emergency evacuation in metro stations could be highly challenging due to complex
underground environments, dynamic hazards and high-density crowds. There are different …

Dual-process models of altruistic choice assume that automatic responses give way to
deliberation over time, and are a popular way to conceptualize how people make generous …

Researchers run experiments to test theories, search for and document phenomena,
develop theories, or advise policymakers. When testing theories, experiments must be …

Decades of research have established the ubiquity and importance of choice biases, such
as the framing effect, yet why these seemingly irrational behaviors occur remains unknown …

Judgment and decision making in sporting officials is a challenging task that involves the
use of context. Although process models of decision making describe decision contexts …

Nonlinear probability weighting allows cumulative prospect theory (CPT) to account for key
phenomena in decision making under risk (eg, certainty effect, fourfold pattern of risk …

There'sa difference between someone instantaneously saying “Yes!” when you ask them on
a date compared to “… yes.” Psychologists and economists have long studied how people …