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The SAGE Handbook of Human-Machine Communication (eBook, ePUB)
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The SAGE Handbook of Human-Machine Communication has been designed to serve as the touchstone text for researchers and scholars engaging in new research in this fast-developing field. Chapters provide a comprehensive grounding of the history, methods, debates and theories that contribute to the study of human-machine communication. Further to this, the Handbook provides a point of departure for theorizing interactions between people and technologies that are functioning in the role of communicators, and for considering the theoretical and methodological implications of machines performing…mehr

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Produktbeschreibung
The SAGE Handbook of Human-Machine Communication has been designed to serve as the touchstone text for researchers and scholars engaging in new research in this fast-developing field. Chapters provide a comprehensive grounding of the history, methods, debates and theories that contribute to the study of human-machine communication. Further to this, the Handbook provides a point of departure for theorizing interactions between people and technologies that are functioning in the role of communicators, and for considering the theoretical and methodological implications of machines performing traditionally 'human' roles. This makes the Handbook the first of its kind, and a valuable resource for students and scholars across areas such as communication, media and information studies, and computer science, as well as for practitioners, engineers and researchers interested in the foundational elements of this emerging field.

Part 1: Histories and Trajectories

Part 2: Approaches and Methods

Part 3: Concepts and Contexts

Part 4: Technologies and Applications

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Autorenporträt
Andrea L. Guzman is an associate professor of communication at Northern Illinois University and co-director of The Human-Machine Communication Lab at NIU. Her research focuses on HMC theory and people's perceptions of artificial intelligence, including voice-based assistants and automated news-writing programs. Guzman is editor of Human-Machine Communication: Rethinking Communication, Technology, and Ourselves, and her award-winning research has been published in top journals, including New Media & Society, Computers in Human Behavior, Digital Journalism, and Journalism & Mass Communication Quarterly and has been presented at leading interdisciplinary and disciplinary conferences. Guzman served as the inaugural chair of the Human-Machine Communication Interest Group of the International Communication Association.