The central theme of this book is the role of energetical factors in the regulation of human information processing activity. This is a restatement of one of the classic problems of psychology - that of acc ounting for motivational or intensive aspects of behaviour, as opposed to structural or directional aspects. The term "energetics" was first used in the 1930's by Freeman, Duffy and others, following Cannon's energy mobilization view of emotion and motivation. The original concept had a limited life, probably because of its unnecessary focus on relativ ely peripheral processes, but it provided the foundations for the con cepts of "arousal" and "activation" which became the popular motivational constructs of the 1950's and 1960's. Now, these too are found wanting. The original assumptions of a unitary, non-specific process based on activation of the brain stem reticular formation have been shown to be misleading. Current work in neurobiology has demonstrated evidence of discrete neurotransmitter systems having quite specific information processing functions, and central roles in the regulation of behaviour. Even the venerable curvilinear relationship between motivation and per formance (the Yerkes-Dodson law) has been shown to be, at best, an unhelpful oversimplification. On a different front psychophysiologists have found complex patterns in the response of different bodily systems to external stressors and to task demands.

The field of human development focuses on the growth and development of the human being including physical, social, psychological, and emotional development. Under the broad umbrella of the term human development you find countless topics that range from charting the emotional attachment of an infant to his or her parents and its long-term effects on well-being, media violence and adolescents′ behavior, or factors moderating the natural decline in physical and mental abilities associated with aging. The Encyclopedia of Human Development is the first comprehensive, authoritative, and informative reference work that presents state-of-the-art research and ready-to-use facts from the fields of psychology, individual and family studies, and education in a way that is not too technical. With more than 600 entries, this three-volume Encyclopedia covers topics as diverse as adolescence, cognitive development, education, family, gender differences, identity, longitudinal research, personality development, prenatal development, temperament, and more. Key Features Provides cross-disciplinary coverage, with contributions from experts in the fields of psychology, education, human development and family studies, and gerontology Highlights classic studies and theories and provides brief biographies of notable researchers and theorists Takes a lifespan approach by including several "anchor essays" that cover specific phases of development such as prenatal, infancy, childhood, adolescence, early and middle adulthood, later adulthood and aging Begins with an Introduction that details the scope, rationale, and audience for the work The cross-disciplinary field of human development is one that captures interest among and holds practical relevance for the general public as well as academia, therefore this engaging Encyclopedia will be a welcome addition to any academic or public library.

Over the past century, educational psychologists and researchers have posited many theories to explain how individuals learn, i.e. how they acquire, organize and deploy knowledge and skills. The 20th century can be considered the century of psychology on learning and related fields of interest (such as motivation, cognition, metacognition etc.) and it is fascinating to see the various mainstreams of learning, remembered and forgotten over the 20th century and note that basic assumptions of early theories survived several paradigm shifts of psychology and epistemology. Beyond folk psychology and its naïve theories of learning, psychological learning theories can be grouped into some basic categories, such as behaviorist learning theories, connectionist learning theories, cognitive learning theories, constructivist learning theories, and social learning theories. Learning theories are not limited to psychology and related fields of interest but rather we can find the topic of learning in various disciplines, such as philosophy and epistemology, education, information science, biology, and – as a result of the emergence of computer technologies – especially also in the field of computer sciences and artificial intelligence. As a consequence, machine learning struck a chord in the 1980s and became an important field of the learning sciences in general. As the learning sciences became more specialized and complex, the various fields of interest were widely spread and separated from each other; as a consequence, even presently, there is no comprehensive overview of the sciences of learning or the central theoretical concepts and vocabulary on which researchers rely. The Encyclopedia of the Sciences of Learning provides an up-to-date, broad and authoritative coverage of the specific terms mostly used in the sciences of learning and its related fields, including relevant areas of instruction, pedagogy, cognitive sciences, and especially machine learning and knowledge engineering. This modern compendium will be an indispensable source of information for scientists, educators, engineers, and technical staff active in all fields of learning. More specifically, the Encyclopedia provides fast access to the most relevant theoretical terms provides up-to-date, broad and authoritative coverage of the most important theories within the various fields of the learning sciences and adjacent sciences and communication technologies; supplies clear and precise explanations of the theoretical terms, cross-references to related entries and up-to-date references to important research and publications. The Encyclopedia also contains biographical entries of individuals who have substantially contributed to the sciences of learning; the entries are written by a distinguished panel of researchers in the various fields of the learning sciences.

Emotions and Affect in Human Factors and Human–Computer Interaction is a complete guide for conducting affect-related research and design projects in H/F and HCI domains. Introducing necessary concepts, methods, approaches, and applications, the book highlights how critical emotions and affect are to everyday life and interaction with cognitive artifacts. The text covers the basis of neural mechanisms of affective phenomena, as well as representative approaches to Affective Computing, Kansei Engineering, Hedonomics, and Emotional Design. The methodologies section includes affect induction techniques, measurement techniques, detection and recognition techniques, and regulation models and strategies. The application chapters discuss various H/F and HCI domains: product design, human–robot interaction, behavioral health and game design, and transportation. Engineers and designers can learn and apply psychological theories and mechanisms to account for their affect-related research and can develop their own domain-specific theory. The approach outlined in this handbook works to close the existing gap between the traditional affect research and the emerging field of affective design and affective computing. - Provides a theoretical background of affective sciences - Demonstrates diverse affect induction methods in actual research settings - Describes sensing technologies, such as brain–computer interfaces, facial expression detection, and more - Covers emotion modeling and its application to regulation processes - Includes case studies and applied examples in a variety of H/F and HCI application areas - Addresses emerging interdisciplinary areas including Positive Technology, Subliminal Perception, Physiological Computing, and Aesthetic Computing

Psychophysiological Approaches to Human Information Processing

Rapid advances in IT that allow complex information to be presented in high volume and density are challenging human ability to absorb and analyze data as never before. Designing technologies and systems to provide optimal sensory information to human users will be increasingly important. Led by experts in psychology, cognitive science, and information processing, among other fields, researchers sought to quantify the information flow in the nervous system, the limits of that flow, and how it is affected by emotions. The researchers found important indicators of both the capacity and limits of the human brain, and offer new ways to think about the brain.