No human drives a car in a vacuum; she/he must negotiate with other road users to achieve
their goals in social traffic scenes. A rational human driver can interact with other road users …

Social psychologists attempt to explain how we interact by appealing to basic principles of
how we think. To make good on this ambition, they are increasingly relying on an …

The network theory of psychopathology posits that mental disorders are systems of mutually
reinforcing symptoms. This framework has proven highly generative but does not specify …

Response speeds in simple decision-making tasks begin to decline from early and middle
adulthood. However, response times are not pure measures of mental speed but instead …

Decision-makers objectively commit to a definitive choice, yet at the subjective level, human
decisions appear to be associated with a degree of uncertainty. Whether decisions are …

In this paper, we introduce an AI-mediated framework that can provide intelligent feedback
to augment human cognition. Specifically, we leverage deep reinforcement learning (DRL) …

We aim to ask and answer an essential question" how quickly do we react after observing a
displayed visual target?" To this end, we present psychophysical studies that characterize …

Influential economic approaches as random utility models assume a monotonic relation
between choice frequencies and “strength of preference,” in line with widespread evidence …

A better understanding of social human dynamics would be a powerful tool to improve
nearly any computational endeavour that involves human interactions. This includes …

Mobile Crowd Sensing is a human-based data collection model, and the approach taken to
recommend data collection tasks to users in order to maximize task acceptance rates is an …