Siegel2024
| Siegel2024 | |
|---|---|
| BibType | BOOK |
| Key | Siegel2024 |
| Author(s) | Aki Siegel, Paul Seedhouse |
| Title | Human Spoken Interaction as a Complex Adaptive System: A Longitudinal Study of L2 Interaction |
| Editor(s) | |
| Tag(s) | EMCA, Applied linguistics, Complexity theory, Conversation analysis, English as a Lingua Franca, Multimodality, Second Language Acquisition, Second language learning, Social interaction, Sociolinguistics |
| Publisher | Edinburgh University Press |
| Year | 2024 |
| Language | English |
| City | |
| Month | |
| Journal | |
| Volume | |
| Number | |
| Pages | |
| URL | Link |
| DOI | |
| ISBN | |
| Organization | |
| Institution | |
| School | |
| Type | |
| Edition | |
| Series | |
| Howpublished | |
| Book title | |
| Chapter | |
Abstract
Human Spoken Interaction as a Complex Adaptive System explains how human spoken communication functions, combining two separate complex adaptive systems: the universal ‘interaction engine’ and language(s), which now number around 7,000. Siegel and Seedhouse offer a comprehensive overview of how the components and processes of the interaction engine work together to enable us to understand each other, whatever the language. Through combining Complexity Science and Conversation Analysis, this book explains how to simultaneously analyse spoken interaction on micro and macro scales. Detailed analyses of L2 learners reveal them to be simultaneously expert in using the interaction engine and inexpert in using the specific language. The study shows that the basic characteristics of the interaction engine are the same as for other life-related complex systems and that it is possible to access the perspectives of participants inside this complex adaptive system as it is evolving.
Notes
https://www.youtube.com/watch?v=vn_O1gVAxSg
TABLE OF CONTENTS
Dedications
List of Figures and Tables
Acknowledgements
Overview
1. Introduction to Human Spoken Interaction as a Complex Adaptive System 1.1 Introduction 1.2 Human Spoken Interaction in a Superdiverse World 1.3 Complex Dynamic Systems Theory 1.4 The Study Context 1.5 The Participants and Corpus 1.6 Rationale for the Corpus 1.7 Purpose and Overview of the Book
2. L2 Interaction: Word Searches, Development and CDST 2.1 Word Search Sequences 2.2 Patterns of Word Search Sequences 2.3 Developmental Studies on Interactional Competence 2.4 Complex Dynamic Systems Theory and L2 Interaction 2.5 Summary and Research Gap
3. Mirroring Methodology 3.1 Introduction 3.2 Basic Principles and Procedures of Conversation Analysis 3.3 Basic Interactional Mechanisms 3.4 Socially Distributed Cognition, Information Exchange and Topic Development 3.5 Adapting CA Methodology to Social and Institutional Goals 3.6 The Relationship between CA and CDST
4. Patterns of Word Search Sequences at the Group Level 4.1 Introduction 4.2 Word Search Initiations 4.3 Candidate Solution of Word Searches 4.4 Responses to Candidate Solutions 4.5 Summary and Discussion
5. Longitudinal Changes in Word Search Sequences 5.1 Introduction 5.2 Quantified Changes in the Participants over Time 5.3 Ami’s Case 5.4 Maya’s Case 5.5 Yoko’s Case 5.6 Tomoko’s Case 5.7 Discussion: Variation and Patterns of Change
6. Seeing Human Spoken Interaction as a Complex Adaptive System 6.1 Introduction 6.2 Matching the Ten CDST Principles to Findings from the Data Analyses 6.3 How Do All the Components Combine in Spoken Interaction? 6.4 Chapter Summary and Conclusions
7. Conclusions and Implications 7.1 Introduction 7.2 Summary of Findings 7.3 Methodological Issues 7.4 Implications 7.5 Limitations and Directions for Future Research
Appendix 1: Recordings of Participants Appendix 2: Transcription Conventions
References
Index
