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Foundations for Designing User-Centered Systems introduces the fundamental human capabilities and characteristics that influence how people use interactive technologies. Organized into four main areas—anthropometrics, behaviour, cognition and social factors—it covers basic research and considers the practical implications of that research on system design. Applying what you learn from this book will help you to design interactive systems that are more usable, more useful and more effective. The authors have deliberately developed Foundations for Designing User-Centered Systems to appeal to system designers and developers, as well as to students who are taking courses in system design and HCI. The book reflects the authors’ backgrounds in computer science, cognitive science, psychology and human factors. The material in the book is based on their collective experience which adds up to almost 90 years of working in academia and both with, and within, industry; covering domains that include aviation, consumer Internet, defense, eCommerce, enterprise system design, health care, and industrial process control.
In Order to Learn shows how order effects are crucial in human learning, instructional design, machine learning, and both symbolic and connectionist cognitive models. Each chapter explains a different aspect of how the order in which material is presented can strongly influence what is learned by humans and theoretical models of learning in a variety of domains. In addition to data, models are provided that predict and describe order effects and analyze how and when they will occur.
A practical, concrete road map to running research studies with human subjects. Covering both conceptual and practical issues critical to implementing a study with human participants, this book is organized to follow the standard process in experiment-based research, covering such issues as potential ethical problems, risks to validity, experimental setup, running a study, and concluding a study. The detailed guidance on each step of a study is ideal for anyone who has had little or no previous practical training in research methodology. The book's examples and sample forms are drawn from areas such as cognitive psychology, human factors, human-computer interaction, and human-robotic interac...
This 'Open Access' SpringerBrief provides foundational knowledge for designing autonomous, asynchronous systems and explains aspects of users relevant to designing for these systems, introduces principles for user-centered design, and prepares readers for more advanced and specific readings. It provides context and the implications for design choices made during the design and development of the complex systems that are part of operation centers. As such, each chapter includes principles to summarize the design implication that engineers can use to inform their own design of interfaces for operation centers and similar systems. It includes example materials for the design of a fictitious sys...
Reviews the themes: information, information processing, representation, and computation, psychology, philosophy, linguistics, computer science, neuroscience, education, economics, evolutionary biology, anthropology.
"Brain-Mind presents a unified, brain-based theory of cognition and emotion, with applications to the most complex kinds of thinking, right up to consciousness and creativity. Unification comes from systematic application of Chris Eliasmith's powerful new Semantic Pointer Architecture, a highly original synthesis of neural network and symbolic ideas about how the mind works. Thagard will show the relevance of semantic pointers to a full range of important kinds of mental representations, from sensations and imagery to concepts, rules, analogies, and emotions. Neural mechanisms can then be used to explain many phenomena concerning consciousness, action, intention, language, creativity, and the self. Because of their broad importance, Thagard has tried to make Eliasmith's ideas accessible to a broad audience with no special background in neuroscience or mathematics. The value of a unified theory of thinking goes well beyond psychology, neuroscience, and the other cognitive sciences"--
The field of cognitive modeling has progressed beyond modeling cognition in the context of simple laboratory tasks and begun to attack the problem of modeling it in more complex, realistic environments, such as those studied by researchers in the field of human factors. The problems that the cognitive modeling community is tackling focus on modeling certain problems of communication and control that arise when integrating with the external environment factors such as implicit and explicit knowledge, emotion, cognition, and the cognitive system. These problems must be solved in order to produce integrated cognitive models of moderately complex tasks. Architectures of cognition in these tasks ...
This book aims to understand human cognition and psychology through a comprehensive computational theory of the mind, namely, a "cognitive architecture." The goal is to develop a unified framework for understanding the human mind, and within the unified framework, to develop process-based, mechanistic explanations of a variety of psychological phenomena.
From the Foreword: "In this book Joscha Bach introduces Dietrich Dörner's PSI architecture and Joscha's implementation of the MicroPSI architecture. These architectures and their implementation have several lessons for other architectures and models. Most notably, the PSI architecture includes drives and thus directly addresses questions of emotional behavior. An architecture including drives helps clarify how emotions could arise. It also changes the way that the architecture works on a fundamental level, providing an architecture more suited for behaving autonomously in a simulated world. PSI includes three types of drives, physiological (e.g., hunger), social (i.e., affiliation needs), a...
--Volume 3. Natural philosophy: from social brains to knowledge, reality, morality, and beauty