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Evaluating movement qualities with visual feedback for real-time motion capture

Authors:

Aishah Hussain,

Camilla Modekjaer,

Nicoline Warming Austad,

Cumhur ErkutAuthors Info & Claims

MOCO '19: Proceedings of the 6th International Conference on Movement and Computing

Article No.: 1, Pages 1 - 9

https://doi.org/10.1145/3347122.3347123

Published: 10 October 2019 Publication History

Abstract

The focus of this paper is to investigate how the design of visual feedback on full body movement affects the quality of the movements. Informed by the theory of embodiment in interaction design and media technology, as well as by the Laban theory of effort, a computer application was implemented in which users are able to project their movements onto two visuals ('Particle' and 'Metal') We investigated whether the visual designs influenced movers through an experiment where participants were randomly assigned to one of the visuals while performing a set of simple tasks. Qualitative analysis of participants' verbal movement descriptions as well as analysis of quantitative movement features combine several perspectives with respect to describing the differences and the change in the movement qualities. The qualitative data shows clear differences between the groups. The quantitative data indicates that all groups move differently when visual feedback is provided. Our results contribute to the design effort of visual modality in movement-focused design of extended realities.

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Cited By

Hou YKenderdine SPicca DEgloff MAdamou A(2022)Digitizing Intangible Cultural Heritage Embodied: State of the ArtJournal on Computing and Cultural Heritage 10.1145/349483715:3(1-20)Online publication date: 16-Sep-2022
https://dl.acm.org/doi/10.1145/3494837
Gao NXue HShao WZhao SQin KPrabowo ARahaman MSalim F(2022)Generative Adversarial Networks for Spatio-temporal Data: A SurveyACM Transactions on Intelligent Systems and Technology10.1145/347483813:2(1-25)Online publication date: 6-Feb-2022
https://dl.acm.org/doi/10.1145/3474838

Index Terms

Evaluating movement qualities with visual feedback for real-time motion capture
1. Computing methodologies
  1. Computer graphics
    1. Animation
      1. Motion capture
2. Human-centered computing
  1. Interaction design
    1. Interaction design process and methods
  2. Visualization
    1. Visualization design and evaluation methods

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Published In

cover image ACM Other conferences

MOCO '19: Proceedings of the 6th International Conference on Movement and Computing

October 2019

23 pages

ISBN:9781450376549

DOI:10.1145/3347122

Conference Chair:
Grisha Coleman

Copyright © 2019 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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 October 2019

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MOCO '19

MOCO '19: 6th International Conference on Movement and Computing

October 10 - 12, 2019

AZ, Tempe, USA

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Overall Acceptance Rate 85 of 185 submissions, 46%

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Cited By

Hou YKenderdine SPicca DEgloff MAdamou A(2022)Digitizing Intangible Cultural Heritage Embodied: State of the ArtJournal on Computing and Cultural Heritage 10.1145/349483715:3(1-20)Online publication date: 16-Sep-2022
https://dl.acm.org/doi/10.1145/3494837
Gao NXue HShao WZhao SQin KPrabowo ARahaman MSalim F(2022)Generative Adversarial Networks for Spatio-temporal Data: A SurveyACM Transactions on Intelligent Systems and Technology10.1145/347483813:2(1-25)Online publication date: 6-Feb-2022
https://dl.acm.org/doi/10.1145/3474838

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