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Dance Data, Cognition, and Multimodal Communication [Kõva köide]

Edited by , Edited by , Edited by
  • Formaat: Hardback, 456 pages, kõrgus x laius: 234x156 mm, kaal: 760 g, 82 Halftones, black and white; 82 Illustrations, black and white
  • Sari: Routledge Advances in Theatre & Performance Studies
  • Ilmumisaeg: 08-Sep-2022
  • Kirjastus: Routledge
  • ISBN-10: 0367617455
  • ISBN-13: 9780367617455
Teised raamatud teemal:
  • Formaat: Hardback, 456 pages, kõrgus x laius: 234x156 mm, kaal: 760 g, 82 Halftones, black and white; 82 Illustrations, black and white
  • Sari: Routledge Advances in Theatre & Performance Studies
  • Ilmumisaeg: 08-Sep-2022
  • Kirjastus: Routledge
  • ISBN-10: 0367617455
  • ISBN-13: 9780367617455
Teised raamatud teemal:
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 bodys 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 lensthat 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.
List of Illustrations
viii
List of Contributors
xv
Introduction 1(12)
Carla Fernandes
PART I Performance-as-Research: Dance data from the artists' perspectives
13(56)
1 Negotiating deliberate choice-making: Insights from an interdisciplinary and multimodal encounter during the making of a New Contemporary Dance
15(23)
Sylvia Rijmer
2 Dance | Data | Storytelling
38(17)
Stephan Jurgens
3 Enabling multimodal interaction in mixed-abled dance: Insights into creating highly accessible teaching tools for inclusive cultural work
55(14)
Susanne Quinten
Mia Sophia Bilitza
PART II Dance documentation and dance scores
69(48)
4 Recording "Effect": A case study in technical, practical, and critical perspectives on dance data creation
71(18)
David Rittershaus
Anton Koch
Scott Delahunta
Florian Jenett
5 Digital-born artworks and interactive experience: Documentation and archiving
89(10)
Paula Varanda
6 Dance scoring and en-action as a creative tool for dance documentation
99(10)
Berth A. Bermudez-Pascual
7 Terpsicore -- dance and performing arts archive
109(8)
Daniel Tercio
Catarina Canelas
Ana Luisa Valdeira
PART III Computational dance data: Between the real and the virtual
117(44)
8 Augmented seeing and sensing
119(12)
Angus G. Forbes
9 Motion capture and the digital dance aesthetic: Using inertial sensor motion tracking for devising and producing contemporary dance performance
131(17)
Daniel Strutt
10 Capturing and visualizing 3D dance data: Challenges and lessons learnt
148(13)
Claudia Ribeiro
Rafael Kuffner
Car La Fernandes
PART IV The brain's experience of dance
161(60)
11 The embodied neuroaesthetics of watching dance
163(19)
Emily S. Cross
Rebecca Smith
12 Dancing neurons: Common brain activity fMRI analysis of the cerebral phenomena behind dance perception
182(20)
Sofia Amaral Martins
Frank Pollick
13 "I see something, and I like it": Unveiling a choreographer's decision-making process using quantitative and qualitative methods
202(19)
Ana Rita Fonseca
Rodrigo Abril-De-Abreu
Car La Fernandes
PART V Dance expertise and cognition
221(74)
14 Dance expertise, embodied cognition, and the body in the brain
223(21)
Bettina Blasing
15 What makes dancers extraordinary? Insights from a cognitive science perspective
244(30)
Carla Fernandes
Vito Evola
Joanna Skubisz
16 The role of dance experience, visual processing strategies, and quantitative movement features in recognition of emotion from whole-body movements
274(21)
Rebecca Smith
Frank Pollick
PART VI Cognitive metaphor and gesture in dance and theatre
295(78)
17 Unpeeling meaning: An analogy and metaphor identification and analysis tool for modern and post-modern dance, and beyond
297(23)
Vicky J. Fisher
18 Understanding non-verbal metaphor: A cognitive approach to metaphor in dance
320(13)
Lacey Okonski
Julie Madden
Kaitlin Tothpal
19 Study on hand movements accompanied during the description of dance appreciation
333(13)
Zi Hyun Kim
Hedda Lausberg
20 Reduction of gesticulation and information patterning strategies in acted speech
346(17)
Giorgina Cantalini
Massimo Moneglia
21 Lines of experience: Towards a research method
363(10)
Michael O'Connor
Note about Funding 373(1)
Author Index 374(8)
Subject Index 382
Carla Fernandes is Principal Investigator, Head of ICNOVAs 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 patientdoctor 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.