Dance Data, Cognition, and Multimodal Communication

1. Auflage 2022
ISBN: 978-0-367-61745-5
Verlag: Routledge

Buch, Englisch, 456 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 778 g

Reihe: Routledge Advances in Theatre & Performance Studies

Dance Data, Cognition, and Multimodal Communication is the result of a collaborative and transdisciplinary effort towards a first definition of "dance data", with its complexities and contradictions, in a time where cognitive science is growing in parallel to the need of a renewed awareness of the body’s agency in our manyfold interactions with the world.

It is a reflection on the observation of bodily movements in artistic settings, and one that views human social interactions, multimodal communication, and cognitive processes through a different lens—that of the close collaboration between performing artists, designers, and scholars.

This collection focuses simultaneously on methods and technologies for creating, documenting, or representing dance data. The editors highlight works focusing on the dancers’ embodied minds, including research using neural, cognitive, behavioural, and linguistic data in the context of dance composition processes. Each chapter deals with dance data from an interdisciplinary perspective, presenting theoretical and methodological discussions emerging from empirical studies, as well as more experimental ones.

The book, which includes digital Support Material on the volume's Routledge website, will be of great interest to students and scholars in contemporary dance, neuro-cognitive science, intangible cultural heritage, performing arts, cognitive linguistics, embodiment, design, new media, and creativity studies.

Autoren/Hrsg.

Fernandes, Carla

Evola, Vito

Ribeiro, Cláudia

Fachgebiete

• Geisteswissenschaften Theater- und Filmwissenschaft | Andere Darstellende Künste Theaterwissenschaft
• Mathematik | Informatik EDV | Informatik Informatik
• Geisteswissenschaften Theater- und Filmwissenschaft | Andere Darstellende Künste Tanz
• Sozialwissenschaften Psychologie Allgemeine Psychologie Biologische Psychologie, Neuropsychologie

Inhaltsverzeichnis

List of Illustrations

List of Contributors

Introduction

CARLA FERNANDES

Part I

Performance-as-Research: Dance data from the artists’ perspectives

1 Negotiating deliberate choice-making: Insights from an interdisciplinary and multimodal encounter during the making of a New Contemporary Dance

SYLVIA RIJMER

2 Dance Data Storytelling

STEPHAN JÜRGENS

3 Enabling multimodal interaction in mixed-abled dance: Insights into creating highly accessible teaching tools for inclusive cultural work

SUSANNE QUINTEN AND MIA SOPHIA BILITZA

Part II

Dance documentation and dance scores

4 Recording "Effect": A case study in technical, practical, and critical perspectives on dance data creation

DAVID RITTERSHAUS, ANTON KOCH, SCOTT DELAHUNTA, AND FLORIAN JENETT

5 Digital-born artworks and interactive experience: Documentation and archiving

PAULA VARANDA

6 Dance scoring and en-action as a creative tool for dance documentation

BERTHA BERMÚDEZ-PASCUAL

7 Terpsicore – dance and performing arts archive

DANIEL TÉRCIO, CATARINA CANELAS, AND ANA LUÍSA VALDEIRA

Part III

Computational dance data: Between the real and the virtual

8 Augmented seeing and sensing

ANGUS G. FORBES

9 Motion capture and the digital dance aesthetic: Using inertial sensor motion tracking for devising and producing contemporary dance performance

DANIEL STRUTT

10 Capturing and visualizing 3D dance data: Challenges and lessons learnt

CLÁUDIA RIBEIRO, RAFAEL KUFFNER, AND CARLA FERNANDES

Part IV

The brain’s experience of dance

11 The embodied neuroaesthetics of watching dance

EMILY S. CROSS AND REBECCA SMITH

12 Dancing neurons: Common brain activity fMRI analysis of the cerebral phenomena behind dance perception

SOFIA AMARAL MARTINS AND FRANK POLLICK

13 "I see something, and I like it": Unveiling a choreographer’s decision-making process using quantitative and qualitative methods

ANA RITA FONSECA, RODRIGO ABRIL-DE-ABREU, AND CARLA FERNANDES

Part V

Dance expertise and cognition

14 Dance expertise, embodied cognition, and the body in the brain

BETTINA BLÄSING

15 What makes dancers extraordinary? Insights from a cognitive science perspective

CARLA FERNANDES, VITO EVOLA, AND JOANNA SKUBISZ

16 The role of dance experience, visual processing strategies, and quantitative movement features in recognition of emotion from whole-body movements

REBECCA SMITH AND FRANK POLLICK

Part VI

Cognitive metaphor and gestures in dance and theatre

17 Unpeeling meaning: An analogy and metaphor identification and analysis tool for modern and post-modern dance, and beyond

VICKY J. FISHER

18 Understanding non-verbal metaphor: A cognitive approach to metaphor in dance

LACEY OKONSKI, JULIE MADDEN, AND KAITLIN TOTHPAL

19 Study on hand movements accompanied during the description of dance appreciation

ZI HYUN KIM AND HEDDA LAUSBERG

20 Reduction of gesticulation and information patterning strategies in acted speech

GIORGINA CANTALINI AND MASSIMO MONEGLIA

21 Lines of experience: Towards a research method

MICHAEL O’CONNOR

Note about Funding

Index

Über Autor(innen)

Carla Fernandes is Principal Investigator, Head of ICNOVA’s Research Group on Performance & Cognition, and Professor at FCSH – Universidade Nova de Lisboa, where she directs the ERC-funded "BlackBox LAB Arts&Cognition." Her current research focus is in the intersection of Performing Arts and Cognitive Science, Multimodal Communication, Intangible Cultural Heritage, and New Media. She is fascinated by the complexity of the human mind and non-verbal behavior in creativity settings. She holds a PhD in Linguistics, supervises numerous PhD and MA theses, and is author in international indexed peer-reviewed journals and books.

Vito Evola is currently a Researcher in Cognitive Linguistics and Multimodal Communication at the Universidade Nova de Lisboa, having previously lectured and conducted research at universities in Palermo, Berkeley, Cleveland, Aachen, and Geneva. His research lies at the intersection of language, culture, and cognition, and analyses data from both common and more specialized contexts, such as patient–doctor interactions, psychotherapy and forensic interviews, religious discourse, and the performing arts.

Cláudia Ribeiro is a Postdoctoral Researcher at FCUL, in the research group LASIGE. She obtained her PhD in Information Systems and Computer Engineering at the University of Lisbon. Her research interests include machine learning, deep learning (focusing on emotion recognition in multimedia content), and interactive systems.