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Perceiving the Light: Exploring Embodied Cues in Interactive Agents for Dance

Published: 15 July 2020 Publication History

Abstract

The "Light the Way" project focuses on how intention can be transmitted through a media agent in a dance performance. We are interested in both how the agent may transmit its intention, how it may perceive the intention of humans, as well as how the human perceived and then expresses their intention to fulfill their gesture; particularly in relation to space. We describe a trajectory of interactive performance works that explore embodied cues as intention in space through four steps: 1) a fully autonomous and interactive sonic agent with its own behaviours, 2) a human-operated, non-autonomous or interactive visual agent in a controlled workshop, 3) a dancer-operated, non-autonomous or interactive visual agent in a live performance, and 4) an autonomous, non-interactive visual agent with its own behaviours in a controlled workshop. This work explores the balance between different forms of embodied connections that are developed between human and agent performers, and the ways that this work could be developed in the future to support more intuitive interactions.

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Cited By

View all
  • (2024)Ballroom Dance Training with Motion Capture and Virtual RealityProceedings of Mensch und Computer 202410.1145/3670653.3677499(617-621)Online publication date: 1-Sep-2024
  • (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
  • (2021)Mission Level Uncertainty in Multi-Agent Resource Allocation2021 60th IEEE Conference on Decision and Control (CDC)10.1109/CDC45484.2021.9683156(4521-4526)Online publication date: 14-Dec-2021

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  1. Perceiving the Light: Exploring Embodied Cues in Interactive Agents for Dance

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    cover image ACM Other conferences
    MOCO '20: Proceedings of the 7th International Conference on Movement and Computing
    July 2020
    205 pages
    ISBN:9781450375054
    DOI:10.1145/3401956
    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 the author(s) 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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    • Rutgers University: Rutgers University

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 15 July 2020

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    Author Tags

    1. Embodiment
    2. Gesture Recognition
    3. Interactive Performance

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    • Refereed limited

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    MOCO '20
    MOCO '20: 7th International Conference on Movement and Computing
    July 15 - 17, 2020
    NJ, Jersey City/Virtual, USA

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    Overall Acceptance Rate 85 of 185 submissions, 46%

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    Cited By

    View all
    • (2024)Ballroom Dance Training with Motion Capture and Virtual RealityProceedings of Mensch und Computer 202410.1145/3670653.3677499(617-621)Online publication date: 1-Sep-2024
    • (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
    • (2021)Mission Level Uncertainty in Multi-Agent Resource Allocation2021 60th IEEE Conference on Decision and Control (CDC)10.1109/CDC45484.2021.9683156(4521-4526)Online publication date: 14-Dec-2021

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