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Motivational Aspects of Prejudice and Racism
Motivational Aspects of Prejudice and Racism examines the cognitive processes as well as the motivational forces that create and sustain social hierarchies based on racial categories. A panel of top scholars analyzes the subtle and explicit manifestations of bias within and across racial groups, while refuting the idea that race has lost its power as a social concept. Chapter authors review the evolution of the psychological understanding of racism and its effects, pinpoint emerging trends in racism research, and illuminate the experience of prejudice from minority group members’ perspectives. Well-known psychosocial phenomena as the cross-race identification effect, social identity, and majority culture members' conflicting attitudes regarding race, are explored, with the underlying ideologies that nurture them. The volume concludes with a realistic assessment of the future, and possible elimination, of racism. Readers are challenged to re-think self and social identities and self-concepts—particularly relevant ideas as America grows more diverse, and potentially more divided.
Memories : Molecules and Circuits
This volume surveys the recent advances and provides an integrative view of molecular, cellular, and systems level mechanisms underlying cognitive processes in both animals and humans. Current state of the art and future avenues are discussed by distinguished scientists who provide not only an overview of the underlying neurobiology of cognitive processes from a basic science standpoint, but who also focus on clinical and therapeutic aspects surrounding impairments associated with disorders that affect cognition.
HCI and usability for education and work ; 4th Symposium of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society, USAB 2008, Graz, Austria, November 20-21, 2008. Proceedings
This book constitutes the refereed proceedings of the 4th Usability Symposium of the Human-Computer Interaction and Usability Engineering Workgroup of the Austrian Computer Society, USAB 2008, held in Graz, Austria, in November 2008.The 7 revised full papers and 26 revised short papers presented were carefully reviewed and selected from 85 submissions. The papers are organized in topical sections on cognitive processes and end user experience, social software and collaborative knowledge development, knowledge processing, assessment and human performance.
Future Interaction Design
In 1969 Herbert Simon wrote a book, The Science of the Artificial, in which he argued that cognitive science should have its area of application in the design of devices. He proposed the foundation of a science of the artificial related with cognitive science in the sense in which we have traditionally understood the relationship between the engineering disciplines and the basic sciences. Such a science has been called cognitive ergonomics or cognitive engineering (Norman 1986). Simon’s cognitive ergonomics (1969), would be independent of cognitive science, its basic science, although both would be closely related. Cognitive science would contribute knowledge on human cognitive processes, and cognitive ergonomics would contribute concrete problems of design that should be solved in the context of the creation of devices. Norman (1986), the author that coined the term cognitive engineering, conceived it as an applied cognitive science where the knowledge of cognitive science is combined with that of engineering to solve design problems. According to Norman, its objectives would be: (1) to understand the fundamental principles of human actions important for the development of the engineering of design principles, and (2) to build systems that are pleasant in their use.
Entrepreneurial cognition : Exploring the mindset of entrepreneurs
This open access book investigates the inter-relationship between the mind and a potential opportunity to explore the psychology of entrepreneurship. Building on recent research, this book offers a broad scope investigation of the different aspects of what goes on in the mind of the (potential) entrepreneur as he or she considers the pursuit of a potential opportunity, the creation of a new organization, and/or the selection of an entrepreneurial career. This book focuses on individuals as the level of analysis and explores the impact of the organization and the environment only inasmuch as they impact the individual’s cognitions. Readers will learn why some individuals and managers are able to able to identify and successfully act upon opportunities in uncertain environments while others are not. This book applies a cognitive lens to understand individuals’ knowledge, motivation, attention, identity, and emotions in the entrepreneurial process.
Dynamic Cognitive Processes
The conference from which this book derives took place in Tsukuba, Japan in March 2004. The fifth in a continuing series of conferences, this one was organized to examine dynamic processes in "lower order" cognition from perception to attention to memory, considering both the behavioral and the neural levels. We were fortunate to attract a terrific group of con tributors representing five countries, which resulted in an exciting confer ence and, as the reader will quickly discover, an excellent set of chapters.
Deep neural networks and data for automated driving : robustness, uncertainty quantification, and insights towards safety
Environment perception for highly automated driving heavily employs deep neural networks, facing many challenges. How much data do we need for training and testing? How to use synthetic data to save labeling costs for training? How do we increase robustness and decrease memory usage? For inevitably poor conditions: How do we know that the network is uncertain about its decisions? Can we understand a bit more about what actually happens inside neural networks? This leads to a very practical problem particularly for DNNs employed in automated driving: What are useful validation techniques and how about safety? This book unites the views from both academia and industry, where computer vision and machine learning meet environment perception for highly automated driving. Naturally, aspects of data, robustness, uncertainty quantification, and, last but not least, safety are at the core of it. This book is unique: In its first part, an extended survey of all the relevant aspects is provided. The second part contains the detailed technical elaboration of the various questions mentioned above.
Deep Learning-Based Face Analytics
Provides an overview of different deep learning-based methods for face recognition and related problems. Specifically, the authors present methods based on autoencoders, restricted Boltzmann machines, and deep convolutional neural networks for face detection, localization, tracking, recognition, etc. The authors also discuss merits and drawbacks of available approaches and identifies promising avenues of research in this rapidly evolving field.
Language, Expressivity and Cognition
The book presents how language shapes communicative and cognitive processes but at the same time is also shaped by those processes. The chapters put forward a number of disciplinary and methodological perspectives encompassing insights from cognitive and social psychology, (critical) discourse analysis, cognitive linguistics, corpus linguistics and sociolinguistics. Both intralingual as well as contrastive, each chapter also engages with qualitative and quantitative methods.
Beyond knowledge : The legacy of competence : Meaningful computer-based learning environments
The edited and peer reviewed volume presents selected papers of the conference "Beyond knowlegde: the legacy of competence" It reflects the current state-of-the-art work of scholars worldwide within the area of learning and instruction with computers. Mainly, areas of computer-based learning environments supporting competence-focused knowledge acquisition but also foundational scientific work are addressed. More specific, contents cover cognitive processes in hypermedia and multimedia learning, social issues in computer-supported collaborative learning, motivation and emotion in Blended Learning and e-Learning.
Anticipatory Behavior in Adaptive Learning Systems : From Brains to Individual and Social Behavior
Anticipatory behavior in adaptive learning systems is steadily gaining the - terest of scientists, although many researchers still do not explicitly consider the actual anticipatory capabilities of their systems.The introductory chapter of this volume therefore does not only provide an overview of the contributions included in this volume but also proposes a taxonomy of how anticipatory mechanisms can improve adaptive behavior and learning in cognitive systems. During the workshop it became clear that ant- ipations are involved in various cognitive processes that range from individual anticipatory mechanisms to social anticipatory behavior.
An Introduction to Knowledge Engineering
Knowledge Engineering refers to the development of systems that use knowledge, rather than data, to solve many novel computing problems. This is achieved by the application of computing techniques, closely associated with human cognitive processes, for transforming data into knowledge. An Introduction to Knowledge Engineering presents a simple but detailed exploration of current and established work in the field.
