The so-called Web 2.0 invites the possibility of aggregating socially distributed information to
obtain intelligent outcomes, ones more sophisticated and precise than could be produced by …

This paper describes an experiment that explores the consequences of providing
information regarding the quality of data used in decision making. The subjects in the study …

Decision-making is a dynamic process that begins with the accumulation of evidence and
ends with the adjustment of belief. Each step is itself subject to a number of dynamic …

In the face of what seem to be insurmountable differences on one issue after another such
as immigration, global climate change, homeland security, and health care, confidence in …

Cost-benefit theory is presented as a cohesive way of organizing knowledge about
information presentation. This theory suggests that decision makers change strategy so that …

In this article, we propose a conceptual and methodological framework for measuring the
impact of the introduction of AI systems in decision settings, based on the concept of …

In cognitive science there is a seeming paradox: On the one hand, studies of human
judgment and decision making have repeatedly shown that people systematically violate …

Proper measurement is critical to the advancement of theory (Blalock 1979). Adaptive
Structuration Theory (AST) is rapidly becoming an important theoretical paradigm for …

The emergence of artificial-intelligence (AI)-powered information technology, such as deep
learning and natural language processing, enables human to shift their behaving or working …

An optimal agent will base judgments on the strength and reliability of decision-relevant
evidence. However, previous investigations of the computational mechanisms of perceptual …