<p dir="ltr" align="left">Multimodality is a fast-growing interdisciplinary approach that aims to analyze the interplay of multiple modes such as gaze, gesture or spoken language that are utilized in interaction, and to examine the multimodal production and consumption of communicated messages.<br>T
Interactions, Images and Texts: A Reader in Multimodality
✍ Scribed by Sigrid Norris (editor), Carmen Daniela Maier (editor)
- Publisher
- De Gruyter Mouton
- Year
- 2014
- Tongue
- English
- Leaves
- 417
- Series
- Trends in Applied Linguistics [TAL] 11
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
✦ Synopsis
Multimodality is a fast-growing interdisciplinary approach that aims to analyze the interplay of multiple modes such as gaze, gesture or spoken language that are utilized in interaction, and to examine the multimodal production and consumption of communicated messages. This Reader provides a comprehensive text of current research into multimodality, outlining in-depth delineation of each primary theoretical and methodological approach, as well as personal accounts of scholars, who are responsible for the various approaches’ advancements. The book additionally offers a plethora of analysis chapters, written by scholars from across the world, with vastly diverse themes ranging from buying popcorn, protests in Oman, coaching sessions and identity, to kitesurfing, typography, TV news, billboards, workplace practices, or analyzing web pages, Facebook, comic books, and more. Flexible and easy to use, the Reader includes key terms, suggested further readings, and a project idea for each chapter. The key terms for the chapters also comprise the extensive alphabetical glossary. Brief introductions for the analysis chapters, written by the editors, summarize the topic, explain the methodology used, outline the thematic orientation, and link each chapter to other chapters in the book. Showcasing multimodal analysis in detail, this Reader is essential reading for undergraduate and postgraduate students, for emergent researchers, and for advanced scholars who wish to gain insight into the current state of multimodal research.
✦ Table of Contents
Table of contents
Contributors
1. Introduction • Sigrid Norris and Carmen Daniela Maier
I. Multimodal theory and methodology: How are they developed?
2. From mediated discourse and nexus analysis to geosemiotics: A personal account • Suzie Wong Scollon
3. Developing multimodal (inter)action analysis: A personal account • Sigrid Norris
4. About images and multimodality: A personal account • Theo Van Leeuwen
5. Developing a GeM (genre and multimodality) model • John Bateman
II. Multimodal theory and methodology: What are their facets?
6. Mediated discourse analysis • Rodney H. Jones
7. Nexus analysis • Yuling Pan
8. Geosemiotics: Discourses In place • Najma Al Zidjaly
9. Introduction to multimodal (inter)action analysis • Jesse Pirini
10. Multimodal analysis of new corporate genres • Carmen Daniela Maier
11. Multimodal genre analysis • Tuomo Hiippala
III. Conducting multimodal research
12. Multimodal approaches • Carey Jewitt
13. Systemic functional multimodal discourse analysis • Kay L. O’Halloran and Victor Lim Fei
14. Multimodal transcription: A case study • Jeff Bezemer
15. How-to-analyze webpages • Emilia Djonov and John S. Knox
16. A participatory approach to ‘analysing’ visual data: Involving practitioners in visual feedback • Rick Iedema
17. Collecting video data: Role of the researcher • Sigrid Norris, Jarret Geenen, Thomas Metten and Jesse Pirini
18. Studying social actors: Some thoughts on ethics • Jesse Pirini, Sigrid Norris, Jarret Geenen and Tui Matelau
IV. Sample Analyses
19. Mediation as interrelationship: Example of kitesurfing • Jarret Geenen
20. Vertical identity production and Māori identity • Tui Matelau
21. The Matrix phenomenon • Arianna Maiorani
22. Typography • Hartmut Stöckl
23. Multimodal constructions of factuality and authenticity in TV-news bulletins • Sabine Tan
24. Facebook: A multimodal discourse analysis of (semi-)automated communicative modes • Volker Eisenlauer
25. 3-D realisation of discourse: The case of war monuments • Gill Abousnnouga and David Machin
26. Multimodality and space exploration: Communicative space in action • Paul White
27. Mediated discourse analysis, ‘embodied learning’ and emerging social and professional identities • Ingrid de Saint-Georges
28. Comic books • Maria Jesus Pinar
29. Multimodality in literature: An analysis of Jonathan Safran Foer’s A Primer for the Punctuation of Heart Disease • Alison Gibbons
30. Concluding remarks • Sigrid Norris and Carmen Daniela Maier
Glossary
Index
📜 SIMILAR VOLUMES
<p dir="ltr" align="left">Multimodality is a fast-growing interdisciplinary approach that aims to analyze the interplay of multiple modes such as gaze, gesture or spoken language that are utilized in interaction, and to examine the multimodal production and consumption of communicated messages.<br>T
<p>Traditional Pattern Recognition (PR) and Computer Vision (CV) technologies have mainly focused on full automation, even though full automation often proves elusive or unnatural in many applications, where the technology is expected to assist rather than replace the human agents. However, not all
<p>Traditional Pattern Recognition (PR) and Computer Vision (CV) technologies have mainly focused on full automation, even though full automation often proves elusive or unnatural in many applications, where the technology is expected to assist rather than replace the human agents. However, not all
<p><P><STRONG>Multimodal Processing and Interaction: Audio, Video and Text</STRONG> presents high quality, state-of-the-art research ideas and results from theoretic, algorithmic and application viewpoints. This edited volume contains both state-of-the-art reviews and original contributions by leadi
This book presents an interactive multimodal approach for efficient transcription of handwritten text images. This approach, rather than full automation, assists the expert in the recognition and transcription process.Until now, handwritten text recognition (HTR) systems are far from being perfect a