Appealing dish names to nudge diners to more sustainable food choices: a quasi-experimental study.

Background: Promoting plant-rich diets, i.e., diets with significantly reduced amounts of animal products, including vegan and vegetarian, is a promising strategy to help address the dual environmental and health crises that we currently face.

A computational theory of the subjective experience of flow.

Flow is a subjective state characterized by immersion and engagement in one's current activity. The benefits of flow for productivity and health are well-documented, but a rigorous description of the flow-generating process remains elusive. Here we develop and empirically test a theory of flow's computational substrates: the informational theory of flow.

Using dynamic monitoring of choices to predict and understand risk preferences.

Navigating conflict is integral to decision-making, serving a central role both in the subjective experience of choice as well as contemporary theories of how we choose. However, the lack of a sensitive, accessible, and interpretable metric of conflict has led researchers to focus on choice itself rather than how individuals arrive at that choice. Using mouse-tracking-continuously sampling computer mouse location as participants decide-we demonstrate the theoretical and practical uses of dynamic assessments of choice from decision onset through conclusion.

Construal level shifts integration and segregation of the brain network.

The ability to expand and contract one's mental horizons allows people to regulate toward ends that are both distant and near. One challenge that people face when regulating toward distant relative to near ends is the lack of information about detailed specifics. In response, construal level theory (CLT) proposes that people engage in high-level construal-a representational process that highlights the essential properties of events that are invariant across potential instantiations.

A consistent organizational structure across multiple functional subnetworks of the human brain.

A recurrent theme of both cognitive and network neuroscience is that the brain has a consistent subnetwork structure that maps onto functional specialization for different cognitive tasks, such as vision, motor skills, and attention. Understanding how regions in these subnetworks relate is thus crucial to understanding the emergence of cognitive processes. However, the organizing principles that guide how regions within subnetworks communicate, and whether there is a common set of principles across subnetworks, remains unclear.