Digital systems, such as phones, computers and PDAs, place continuous demands on our cognitive and perceptual systems. They offer information and interaction opportunities well above our processing abilities, and often interrupt our activity. Appropriate allocation of attention is one of the key factors determining the success of creative activities, learning, collaboration, and many other human pursuits. This book presents research related to human attention in digital environments. Original contributions by leading researchers cover the conceptual framework of research aimed at modelling and supporting human attentional processes, the theoretical and software tools currently available, and various application areas. The authors explore the idea that attention has a key role to play in the design of future technology and discuss how such technology may continue supporting human activity in environments where multiple devices compete for people's limited cognitive resources.

While self-driving cars and autonomous weapon systems have received a great deal of attention in media and research, the general requirements of ethical life in today’s digitalizing reality have not been made sufficiently visible and evaluable. This collection of articles from both distinguished and emerging authors working at the intersections of philosophy, literary theory, media, and technology does not intend to fix new moral rules. Instead, the volume explores the ethos of digital environments, asking how we can orient ourselves in them and inviting us to renewed moral reflection in the face of dilemmas they entail. The authors show how contemporary digital technologies model our perception, narration as well as our conceptions of truth, and investigate the ethical, moral, and juridical consequences of making public and societal infrastructures computational. They argue that we must make the structures of the digital environments visible and learn to care for them.

The rise of ubiquitous information technology--smartphones, unbridled Internet access, and various applications of these tools--has interacted with the ways we are wired to think, feel, and behave. This book provides a fascinating look at the impact of the Internet and technology through the lens of human capacity. Chapters examine what makes these technologies so addictive; their effect on emotional well-being, memory, learning, and driving; replenishing depleted cognitive reserves; and how to chart a way forward in the attention economy.

Digital technology permeates the physical world. Social media and virtual reality, accessed via internet capable devices - computers, smartphones, tablets and wearables - affect nearly all aspects of social life. The contributions to this volume apply innovative forms of ethnographic research to the digital realm. They examine the emergence of new forms of digital life, such as political participation through comments on East Greenlandic news blogs, the personal use of video broadcasting applications, the rise of transnational migrant networks facilitated by social media, or the effects of Facebook, Twitter, and Instagram on global conflicts.

Argues that human freedom is threatened by systems of intelligent persuasion developed by tech giants who compete for our time and attention. This title is also available as Open Access.

The role natural environments play in human health and wellbeing is attracting increasing attention. There is growing medical evidence that access to the natural environment can prevent disease, aid recovery, tackle obesity and improve mental health. This book examines the history of natural environments being used for stress-reduction, enjoyment, aesthetics and catharsis, and traces the development of the connection between humans and the environment, and how they impact our personal and collective health.

Cognitive Computing for Human-Robot Interaction: Principles and Practices explores the efforts that should ultimately enable society to take advantage of the often-heralded potential of robots to provide economical and sustainable computing applications. This book discusses each of these applications, presents working implementations, and combines coherent and original deliberative architecture for human–robot interactions (HRI). Supported by experimental results, it shows how explicit knowledge management promises to be instrumental in building richer and more natural HRI, by pushing for pervasive, human-level semantics within the robot's deliberative system for sustainable computing applications. This book will be of special interest to academics, postgraduate students, and researchers working in the area of artificial intelligence and machine learning. Key features: - Introduces several new contributions to the representation and management of humans in autonomous robotic systems; - Explores the potential of cognitive computing, robots, and HRI to generate a deeper understanding and to provide a better contribution from robots to society; - Engages with the potential repercussions of cognitive computing and HRI in the real world. - Introduces several new contributions to the representation and management of humans in an autonomous robotic system - Explores cognitive computing, robots and HRI, presenting a more in-depth understanding to make robots better for society - Gives a challenging approach to those several repercussions of cognitive computing and HRI in the actual global scenario

Technology is developing rapidly. It is an essential part of how we live our daily lives – in a mental and physical sense, and in professional and personal environments. Cybercognition explores the ideas of technology addiction, brain training and much more, and will provide students with a guide to understanding concepts related to the online world. It answers important questions: What is the impact of digital technology on our learning, memory, attention, problem-solving and decision making? If we continue to use digital technology on a large scale, can it change the way we think? Can human cognition keep up with technology? Suitable for students on Cyberpsychology and Cognitive Psychology courses at all levels, as well as anyone with an inquiring mind.

Instructional design is pivotal to the landscape of education. Shifts in the educational landscape require different approaches to meet different needs. While it is important to realize that education in modern society looks much different than decades ago, it is essential to understand that the basic components of instructional design have not changed. No matter the classroom, all learning must begin with clear goals and objectives, learning activities, and assessments. From there, instruction is designed using a number of models or instructional designs as a foundation to develop learning. The Impact and Importance of Instructional Design in the Educational Landscape provides relevant theoretical instructional design models and the latest research findings related to these models. Covering topics such as co-teaching, lesson planning and delivery, and universal design for learning (UDL), this premier reference source is an excellent resource for pre-service and in-service teachers, teacher educators, instructional technology professionals, library media specialists, educational administrators, instructional leaders, researchers, and academicians.

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.