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This book synthesizes existing research on human-centered data discovery, as well as the recommendations which exist for supporting the design of sustainable, user-centered data search systems. While information-seeking in various settings has been well-researched within computer and information science, not much is known about human-centered data discovery, or how people discover, understand and interact with data that others create. This is particularly relevant given the ever-increasing amounts of data being produced and made available, and the creation of data-specific discovery tools and systems. This book examines how people find the data they need, which search strategies and tools they use, how they understand data, and how search systems can be better designed to meet people's needs.

Modern day and technology-rich environments require a reconceptualization of how the nature of technology influences urban areas. Rethinking the way we apply these technologies will not only alter the way people communicate and interact, but it will also alter how individuals learn and explore the world around them. Ambient Urbanities as the Intersection Between the IoT and the IoP in Smart Cities offers insights about the ambient in 21st century smart cities, learning cities, responsive cities, and future cities, and highlights the importance of people as critical to the urban fabric of smart cities that are increasingly embedded with pervasive and often invisible technologies. The book, based on an urban research study, explores urbanity from multiple perspectives ranging from the cultural to the geographic. While highlighting topics including digital literacies, smarter governance, and information architectures, this book is ideally designed for students, educators, researchers, the business community, city government staff and officials, urban practitioners, and those concerned with contemporary and emerging complex urban challenges and opportunities.

The growing amount of information provided via web-based information technologies forces the users of these technologies to stop seeking for information before having acquired all available information. This stopping decision is either made actively following clear guidelines or subconsciously based on the seeker's intuition. This book analyzes the aforementioned duality by developing and testing a multi-theoretical research model dealing with information seeking stopping behavior in online scenarios. Thus, by delivering insights into the mechanisms that influence information seeking activities, this study does not only advance theory building in the Information Systems discipline and adjacent fields but is also highly relevant for practitioners and developers of information technology.

New Directions in Human Information Behavior, co-edited by Drs. Amanda Spink and Charles Cole provides an understanding of the new directions, leading edge theories and models in human information behavior. Information behavior is conceptualized as complex human information related processes that are embedded within an individual's everyday social and life processes. The book presents chapters by an interdisciplinary range of scholars who show new directions that often challenge the established views and paradigms of information behavior studies. Beginning with an evolutionary framework, the book examines information behaviors over various epochs of human existence from the Palaeolithic Era and within pre-literate societies, to contemporary behaviors by 21st century humans. Drawing upon social and psychological science theories the book presents a more integrated and holistic approach to the understanding of information behaviors that include multitasking and non-linear longitudinal processes, individuals'information ground, information practices and information sharing, digital behaviors and human information organizing behaviors. The final chapter of the book integrates these new approaches and presents an overview of the key trends, theories and models for further research. This book is directly relevant to information scientists, librarians, social and evolutionary psychologists. Undergraduate and graduate students, academics and information professionals interested in human information behavior will find this book of particular benefit.

New Directions in Cognitive Information Retrieval presents an exciting new direction for research into cognitive oriented information retrieval (IR) research, a direction based on an analysis of the user's problem situation and cognitive behavior when using the IR system. This contrasts with the current dominant IR research paradigm which concentrates on improving IR system matching performance. The chapters describe the leading edge concepts and models of cognitive IR that explore the nexus between human cognition, information and the social conditions that drive humans to seek information using IR systems. Chapter topics include: Polyrepresentation, cognitive overlap and the boomerang effect, Multitasking while conducting the search, Knowledge Diagram Visualizations of the topic space to facilitate user assimilation of information, Task, relevance, selection state, knowledge need and knowledge behavior, search training built into the search, children's collaboration for school projects, and other cognitive perspectives on IR concepts and issues.