Human-Machine Communication

Guzman, Andrea L.:

ISBN 10: 1433142503 / ISBN 13: 9781433142505

Published by Peter Lang, 2018

About this Item

XX, 272 Seiten Rethinking Communication, Technology and Ourselves - Innen sauberer, guter Zustand. Softcover, Broschur mit Bibliotheks-Stempeln und Einträgen, innen wie außen, siehe Bilder. DH-10-51B Sprache: Englisch Gewicht in Gramm: 408.

Seller Inventory # 2063730

Bibliographic Details

• Title: Human-Machine Communication
• Publisher: Peter Lang
• Publication Date: 2018
• Language: English
• ISBN 10: 1433142503
• ISBN 13: 9781433142505
• Binding: 21,5 x 15 cm
• Edition: 1.
• Condition: Gut
• Weight: 408 grams
• Seller catalogs:
  • Modernes Antiquariat

About this title

Synopsis

From virtual assistants to social robots, people are increasingly interacting with intelligent and highly communicative technologies throughout their daily lives. This shift from communicating with people to communicating with people and machines challenges how scholars have theorized and studied communication. Human-Machine Communication: Rethinking Communication, Technology, and Ourselves addresses this transition in how people communicate and who, or what, they communicate with and the implications of this evolution for communication research. Geared toward scholars interested in people’s interactions with technology, this book serves as an introduction to human-machine communication (HMC) as a specific area of study within communication (encompassing human-computer interaction, human-robot interaction, and human-agent interaction) and to the research possibilities of HMC. This collection includes papers presented as part of a scholarly conference on HMC, along with invited works from noted researchers. Topics include defining HMC, theoretical approaches to HMC, applications of HMC, and the larger implications of HMC for self and society. The research presented here focuses on people’s interactions with multiple technologies (artificial intelligence, algorithms, and robots) used within different contexts (home, workplace, education, journalism, and healthcare) from a variety of epistemological and methodological approaches (empirical, rhetorical, and critical/cultural). Overall, Human-Machine Communication provides readers with an understanding of HMC in a way that supports and promotes further scholarly inquiry in a growing area of communication research.

About the Author

Andrea L. Guzman is an assistant professor of communication at Northern Illinois University where her research focuses on human-machine communication and artificial intelligence, the automation of journalism, and media representations of intelligent technologies.