research-article

The choreographer's notebook: a video annotation system for dancers and choreographers

Authors:

Celine Latulipe,

Danielle LottridgeAuthors Info & Claims

C&C '11: Proceedings of the 8th ACM conference on Creativity and cognition

Pages 197 - 206

https://doi.org/10.1145/2069618.2069653

Published: 03 November 2011 Publication History

Abstract

We present a collaborative tool for choreographers and dancers, the Choreographer's Notebook, which allows multimodal annotation of rehearsal videos during the dance production process. The dance production process is a creative process in which exploration and expression are paramount and we describe issues we have observed over four different dance production cycles. The Choreographer's Notebook addresses the recurring problem of scarcity of rehearsal time and space, which is a limiting factor for exploration and expression. The tool is a web-based video application that enables choreographers to provide multimodal, context-sensitive instructions and feedback to the dancers outside of formal rehearsal time. The novelty of this tool is its ability to provide a multimodal collaborative video-based workflow. This article also presents a thorough ethnographic investigation of the dance production process and results from the use of the Choreographer's Notebook as an artifact within that process.

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Cited By

TSUCHIDA SFUKAYAMA SKATO JYAKURA HGOTO M(2024)DanceUnisoner: A Parametric, Visual, and Interactive Simulation Interface for Choreographic Composition of Group DanceIEICE Transactions on Information and Systems10.1587/transinf.2023EDP7063E107.D:3(386-399)Online publication date: 1-Mar-2024
https://doi.org/10.1587/transinf.2023EDP7063
Pataranutaporn PMano PBhongse-Tong PChongchadklang TArchiwaranguprok CHantrakul LEaimsa-ard JMaes PKlunchun P(2024)Human-AI Co-Dancing: Evolving Cultural Heritage through Collaborative Choreography with Generative Virtual CharactersProceedings of the 9th International Conference on Movement and Computing10.1145/3658852.3661317(1-10)Online publication date: 30-May-2024
https://dl.acm.org/doi/10.1145/3658852.3661317
Radeta MFreitas RRodrigues CZuniga ANguyen NFlores HNurmi P(2024)Man and the Machine: Effects of AI-assisted Human Labeling on Interactive Annotation of Real-time Video StreamsACM Transactions on Interactive Intelligent Systems10.1145/364945714:2(1-22)Online publication date: 29-Feb-2024
https://dl.acm.org/doi/10.1145/3649457
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Index Terms

The choreographer's notebook: a video annotation system for dancers and choreographers
1. Information systems
  1. Information systems applications

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Published In

cover image ACM Conferences

C&C '11: Proceedings of the 8th ACM conference on Creativity and cognition

November 2011

492 pages

ISBN:9781450308205

DOI:10.1145/2069618

General Chair:
Ashok K. Goel
Georgia Institute of Technology, USA
,
Program Chairs:
Fox Harrell
Massachusetts Institute of Technology, USA
,
Brian Magerko
Georgia Institute of Technology, USA
,
Yukari Nagai
Japan Advanced Institute of Science and Technology, Japan
,
Jane Prophet
Goldsmiths College, University of London, UK

Copyright © 2011 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 03 November 2011

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C&C '11

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SIGCHI

C&C '11: Creativity and Cognition 2011

November 3 - 6, 2011

Georgia, Atlanta, USA

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Overall Acceptance Rate 108 of 371 submissions, 29%

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https://doi.org/10.1587/transinf.2023EDP7063
Pataranutaporn PMano PBhongse-Tong PChongchadklang TArchiwaranguprok CHantrakul LEaimsa-ard JMaes PKlunchun P(2024)Human-AI Co-Dancing: Evolving Cultural Heritage through Collaborative Choreography with Generative Virtual CharactersProceedings of the 9th International Conference on Movement and Computing10.1145/3658852.3661317(1-10)Online publication date: 30-May-2024
https://dl.acm.org/doi/10.1145/3658852.3661317
Radeta MFreitas RRodrigues CZuniga ANguyen NFlores HNurmi P(2024)Man and the Machine: Effects of AI-assisted Human Labeling on Interactive Annotation of Real-time Video StreamsACM Transactions on Interactive Intelligent Systems10.1145/364945714:2(1-22)Online publication date: 29-Feb-2024
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Liu YSra M(2024)DanceGen: Supporting Choreography Ideation and Prototyping with Generative AIProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661594(920-938)Online publication date: 1-Jul-2024
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Liu YSra M(2024)Exploring AI-assisted Ideation and Prototyping for ChoreographyCompanion Proceedings of the 29th International Conference on Intelligent User Interfaces10.1145/3640544.3645227(11-17)Online publication date: 18-Mar-2024
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Hassan SDe Lacerda Pataca CNourian LTigwell GDavis BSilver Wagman W(2024)Designing and Evaluating an Advanced Dance Video Comprehension Tool with In-situ Move Identification CapabilitiesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642710(1-19)Online publication date: 11-May-2024
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Stacchio LGarzarella SCascarano PDe Filippo ACervellati EMarfia G(2024)DanXe: an Extended Artificial Intelligence Framework to Analyze and Promote Dance HeritageDigital Applications in Archaeology and Cultural Heritage10.1016/j.daach.2024.e00343(e00343)Online publication date: May-2024
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