Old strategies, new environments: Reinforcement Learning on social media.

The rise of social media has profoundly altered the social world - introducing new behaviours which can satisfy our social needs. However, it is yet unknown whether human social strategies, which are well-adapted to the offline world we developed in, operate as effectively within this new social environment. Here, we describe how the computational framework of Reinforcement Learning can help us to precisely frame this problem and diagnose where behaviour-environment mismatches emerge.

Social uncertainty in the digital world.

The social world is inherently uncertain. We present a computational framework for thinking about how increasingly popular online environments modulate the social uncertainty we experience, depending on the type of social inferences we make. This framework draws on Bayesian inference, which involves combining multiple informational sources to update our beliefs.

Do humans prefer cognitive effort over doing nothing?

Humans and other animals find mental (and physical) effort aversive and have the fundamental drive to avoid it. However, doing nothing is also aversive. Here, we ask whether people choose to avoid effort when the alternative is to do nothing at all.

Reliability of the empathy selection task, a novel behavioral measure of empathy avoidance.

The empathy selection task is a novel behavioral paradigm designed to assess an individual's willingness to engage in empathy. Work with this task has demonstrated that people prefer to avoid empathy when some other activity is available, though individual differences that might predict performance on this task have been largely unexamined. Here, we assess the suitability of the empathy selection task for use in individual difference and experimental research by examining its reliability within and across testing sessions.

Empathy is hard work: People choose to avoid empathy because of its cognitive costs.

Empathy is considered a virtue, yet it fails in many situations, leading to a basic question: When given a choice, do people avoid empathy? And if so, why? Whereas past work has focused on material and emotional costs of empathy, here, we examined whether people experience empathy as cognitively taxing and costly, leading them to avoid it. We developed the empathy selection task, which uses free choices to assess the desire to empathize. Participants make a series of binary choices, selecting situations that lead them to engage in empathy or an alternative course of action.

On the prospect of knowing: Providing solutions can reduce persistence.

Our willingness to persist in problem solving is often held up as a critical component in being successful. Allied against this ability, however, are a number of situational factors that undermine our persistence. In the present investigation, the authors examine 1 such factor-knowing that the answers to a problem are easily accessible.

Answers at your fingertips: Access to the Internet influences willingness to answer questions.

Recent technological advances have given rise to an information-gathering tool unparalleled by any in human history-the Internet. Understanding how access to such a powerful informational tool influences how we think represents an important question for psychological science. In the present investigation we examined the impact of access to the Internet on the metacognitive processes that govern our decisions about what we "know" and "don't know.