The Visual Narrative Reader (Paperback)

Dr Neil Cohn

ISBN 10: 1472585593 / ISBN 13: 9781472585592

Published by Bloomsbury Publishing PLC, London, 2016

About this Item

Paperback. Sequential images are as natural at conveying narratives as verbal language, and have appeared throughout human history, from cave paintings and tapestries right through to modern comics. Contemporary research on this visual language of sequential images has been scattered across several fields: linguistics, psychology, anthropology, art education, comics studies, and others. Only recently has this disparate research begun to be incorporated into a coherent understanding. In The Visual Narrative Reader, Neil Cohn collects chapters that cross these disciplinary divides from many of the foremost international researchers who explore fundamental questions about visual narratives. How does the style of images impact their understanding? How are metaphors and complex meanings conveyed by images? How is meaning understood across sequential images? How do children produce and comprehend sequential images? Are visual narratives beneficial for education and literacy? Do visual narrative systems differ across cultures and historical time periods? This book provides a foundation of research for readers to engage in these fundamental questions and explore the most vital thinking about visual narrative. It collects important papers and introduces review chapters summarizing the literature on specific approaches to understanding visual narratives. The result is a comprehensive reader that can be used as a coursebook, a researcher resource and a broad overview of fascinating topics suitable for anyone interested in the growing field of the visual language of comics and visual narratives. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Seller Inventory # 9781472585592

Bibliographic Details

• Title: The Visual Narrative Reader (Paperback)
• Publisher: Bloomsbury Publishing PLC, London
• Publication Date: 2016
• Language: English
• ISBN 10: 1472585593
• ISBN 13: 9781472585592
• Binding: Paperback
• Condition: new

About this title

Synopsis

Sequential images are as natural at conveying narratives as verbal language, and have appeared throughout human history, from cave paintings and tapestries right through to modern comics. Contemporary research on this visual language of sequential images has been scattered across several fields: linguistics, psychology, anthropology, art education, comics studies, and others. Only recently has this disparate research begun to be incorporated into a coherent understanding. In The Visual Narrative Reader, Neil Cohn collects chapters that cross these disciplinary divides from many of the foremost international researchers who explore fundamental questions about visual narratives. How does the style of images impact their understanding? How are metaphors and complex meanings conveyed by images? How is meaning understood across sequential images? How do children produce and comprehend sequential images? Are visual narratives beneficial for education and literacy? Do visual narrative systems differ across cultures and historical time periods? This book provides a foundation of research for readers to engage in these fundamental questions and explore the most vital thinking about visual narrative. It collects important papers and introduces review chapters summarizing the literature on specific approaches to understanding visual narratives. The result is a comprehensive “reader” that can be used as a coursebook, a researcher resource and a broad overview of fascinating topics suitable for anyone interested in the growing field of the visual language of comics and visual narratives.

About the Author

Neil Cohn is Associate Professor of Communication and Cognition at Tilburg University, the Netherlands. He is the author of The Visual Language of Comics (2013), Who Understands Comics? (2020), and editor of The Visual Narrative Reader (2016).