People can learn about the probabilistic consequences of their actions in two ways: One is
by consulting descriptions of an action's consequences and probabilities (eg, reading up on …

Understanding how people interpret risks and choose actions based on their interpretations
is vital to any strategy for disaster reduction. We review relevant literature with the aim of …

We study GPT-3, a recent large language model, using tools from cognitive psychology.
More specifically, we assess GPT-3's decision-making, information search, deliberation, and …

This paper uses surveys to document CFO perspectives on corporate planning, investment,
capital structure, payout, and shareholder versus stakeholder focus. Comparing policy …

Aspect-based sentiment analysis is a fine-grained sentiment analysis task, which needs to
detection the sentiment polarity towards a given aspect. Recently, graph neural models over …

We provide evidence that classic lottery anomalies like probability weighting and loss
aversion are not special phenomena of risk. They also arise (and often with equal strength) …

Large language models are powerful systems that excel at many tasks, ranging from
translation to mathematical reasoning. Yet, at the same time, these models often show …

To what extent is there a general factor of risk preference, R, akin to g, the general factor of
intelligence? Can risk preference be regarded as a stable psychological trait? These …

Personal experiences of economic outcomes, from global financial crises to individual-level
job losses, can shape individual beliefs, risk attitudes, and choices for years to come. A …

Immersive virtual environments (IVEs) produce simulations that mimic unmediated sensory
experiences. 3 experiments (N= 228) tested how different modalities increase environmental …