Alex Kirlik Bücher

In modern life, especially within the workplace, information technology and automation increasingly shape how humans engage with their environment. Understanding and supporting cognition in human-technology interaction is a pressing practical and social challenge. This volume explores how behavior and cognition adapt, or fail to adapt, to environments where tools and technology mediate interactions. The authors draw on the foundational work of Egon Brunswik, a pioneer in ecological and cognitive psychology, alongside contemporary developments such as Hammond's Social Judgment Theory, Gigerenzer's Ecological Rationality, and Anderson's Rational Analysis. Inspired by Brunswik's perspective of cognition as a means to navigate the external world, the chapters present quantitative and computational models to study how individuals adjust to an increasingly technological landscape. They also offer insights for enhancing cognition and performance through design, training, and other interventions. The methods and models discussed serve as vital resources for tackling challenges in the expanding field of human-technology interaction. This volume will appeal to researchers, students, and practitioners in human factors, cognitive engineering, human-computer interaction, judgment and decision-making, and cognitive science.

In modern workplaces, information technology and automation increasingly influence human interactions with their environment. Understanding and supporting cognition in human-technology interaction is a significant practical and social challenge. This volume addresses the adaptive nature of behavior and cognition in response to environments mediated by technology. Drawing on Egon Brunswik's pioneering work in ecological and cognitive psychology, the authors explore contemporary extensions of his ideas, including Hammond's Social Judgment Theory, Gigerenzer's Ecological Rationality, and Anderson's Rational Analysis. Inspired by Brunswik's perspective on cognition as adapting to the external world, the chapters present quantitative and computational models for studying how individuals navigate a technologically driven ecology. They offer insights into enhancing cognition and performance through design, training, and other interventions. The methods and measures discussed serve as essential resources for tackling issues in the rapidly evolving field of human-technology interaction. This volume will appeal to researchers, students, and practitioners in human factors, cognitive engineering, human-computer interaction, judgment and decision-making, and cognitive science.