Measurement in Psychology is a complicated process involving numerous theoretical and empirical steps. Ensuring our measures are operating the same way in different groups of people is a further step referred to as Measurement Invariance testing. Measurement Invariance occurs when … Continued
In this meta-ethnography, we explore three different angles of Ethical AI design and implementation in a top-down/bottom-up framework, including the philosophical ethical viewpoint, the technical perspective, and framing through a political lens. We will discuss the values and drawbacks of … Continued
Human-AI co-creativity involves both humans and AI collaborating on a shared creative product as partners. In a creative collaboration, interaction dynamics, such as turn-taking, contribution type, and communication, are the driving forces of the co-creative process. Therefore the interaction model … Continued
Abstract The ideal experiment in physics must be conceptual, cunning, and conclusive. Adoption of these same standards in psychology has led to experiments that are uninformative and frivolous. We explain why we believe that psychology is fundamentally incompatible with hypothesis-driven theoretical … Continued
Significance Many bad decisions and their devastating consequences could be avoided if people used optimal decision strategies. Here, we introduce a principled computational approach to improving human decision making. The basic idea is to give people feedback on how they … Continued
Many important decisions in daily life are made with the help of advisors, e.g., decisions about medical treatments or financial investments. Whereas in the past, advice has often been received from human experts, friends, or family, advisors based on artificial … Continued
In recent years there has been a resurgence of descriptive research that seeks to document, describe, and analyze the conditions under which infants and children learn in a variety of natural settings. Descriptive developmental research enhances fundamental understanding and facilitates … Continued
Artificial Intelligence (AI) is increasingly used to build Decision Support Systems (DSS) across many domains. This paper describes a series of experiments designed to observe human response to different characteristics of a DSS such as accuracy and bias, particularly the … Continued
“Everyone is biased,” is a mostly vacuous truism. It may be literally true in some superficial sense, but this is entirely useless with respect to figuring which claims made by which person or scientist are valid or not. Clearly, some … Continued
Titles of scientific papers pay a key role in their discovery, and “good” titles engage and recruit readers. A particularly interesting aspect of title construction is the use of humour, but little is known about whether funny titles boost or limit … Continued