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Aki Siegel, Paul Seedhouse - Human Spoken Interaction as a Complex Adaptive System, Häftad

Häftad, Engelska, 2026

Human Spoken Interaction as a Complex Adaptive System

A Longitudinal Study of L2 Interaction

Av Aki Siegel, Paul Seedhouse

Del i serien Studies in Social Interaction

252 kr

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Beskrivning
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.
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Aki Siegel is an Assistant Professor at Uppsala University, Sweden and a Senior Lecturer at Linnaeus University, Sweden. Her research focuses on language development in and through spoken interactions from a longitudinal and a complex dynamic systems theory perspective. She investigates English as a lingua franca and multilingual multicultural interactions using multimodal and mixed methods approaches. Recently, she is interested in the dynamics of human relationship-building in interaction through multiple encounters. Paul Seedhouse is Professor of Educational and Applied Linguistics and Director of ilab:learn at Newcastle University, UK. He researches what is universal about human spoken interaction, using a complex systems approach to argue that all human populations combine the same basic interaction engine with diverse overlaid languages.With colleagues in Computing Science over 14 years, he has worked on 4 grants to use digital technology to enable users to learn languages through cultural activities, resulting in the ENACT web app. This provides a universal infrastructure to enable people around the world to display and appreciate their commonality and diversity.He has also had 5 grants from the IELTS consortium to study spoken interaction in the IELTS Speaking Test. His book The Interactional Architecture of the Language Classroom: A Conversation Analysis Perspective (2004) won the 2005 Modern Language Association of America Kenneth W. Mildenberger Prize.

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Highly recommended, it is eminently readable for both newcomers to Complex Dynamic Systems Theory (CDST) and thought-provoking for experienced academics. Using CDST as a metatheory and Conversation Analysis as a methodology, it expands upon the claim that language is a complex adaptive system, to propose that human spoken interaction, a second underlying system, is also a complex adaptive system.

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