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Tagging with Movement: Somatic Strategies for Image Classification

Published: 16 June 2014 Publication History

Abstract

Movement researchers in HCI have begun to utilize theories from the field of Somatics to support their investigations into tangible, ubiquitous, and wearable computing systems. Despite recent advances in integrating movement theory within HCI, the practice of incorporating the associated Somatic methods and referencing this body-oriented epistemological perspective is often lacking from design ideation and development within movement interaction. The epistemological gap between somatic values and technological models of movement can constrain novel applications of somatic theories and their potential to inform embodied approaches to movement interaction. In this paper we discuss the value of Somatic epistemology and provide a case study exploring the use of movement to tag visual images. We describe a series of movement workshops structured to explore movement tagging of visual images, and illustrate the benefits of bridging Somatic theories and their associated methods to the design of novel movement applications.

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  • (2020)Components of the LMA as a design tool for expressive movement and gesture construction2020 22nd Symposium on Virtual and Augmented Reality (SVR)10.1109/SVR51698.2020.00055(321-330)Online publication date: Nov-2020

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    MOCO '14: Proceedings of the 2014 International Workshop on Movement and Computing
    June 2014
    184 pages
    ISBN:9781450328142
    DOI:10.1145/2617995
    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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    Published: 16 June 2014

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    Author Tags

    1. Felt Experience
    2. Image Classification
    3. Kinesthetic Awareness
    4. Laban Movement Analysis
    5. Movement
    6. Somatics

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    MOCO '14 Paper Acceptance Rate 24 of 54 submissions, 44%;
    Overall Acceptance Rate 85 of 185 submissions, 46%

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    • (2020)Components of the LMA as a design tool for expressive movement and gesture construction2020 22nd Symposium on Virtual and Augmented Reality (SVR)10.1109/SVR51698.2020.00055(321-330)Online publication date: Nov-2020

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