research-article

Quantifying Coordination in Human Dyads via a Measure of Verticality

Authors:

Roshni Kaushik,

Amy LaViersAuthors Info & Claims

MOCO '18: Proceedings of the 5th International Conference on Movement and Computing

Article No.: 19, Pages 1 - 8

https://doi.org/10.1145/3212721.3212805

Published: 28 June 2018 Publication History

Abstract

Working towards the goal of understanding complex, interactive movement in human dyads, this paper presents a model for analyzing motion capture data of human pairs and proposes measures that correlate with features of the coordination in the movement. Based on deep inquiry of what it means to partner in a motion task, a measure that characterizes the changing verticality of each agent is developed. In parallel a naïve human motion expert provides a qualitative description of the features and quality of coordination within a dyad. Analysis on the verticality measure, the cross-correlation of verticality signals, and deviation of those verticality signals from the trend over time, provides quantitative insight that corroborates the naïve expert's analysis. Specifically, the paper shows that, for four samples of dyadic behavior, these measures provide information about 1) whether two agents were involved in the same dyadic interaction and 2) the level of "resistance" found in these interactions. Future work will test this model over a larger dataset and develop human-robot coordination schemes based on this model.

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Cited By

Brown CGreenberg IBrimhall B(2022)Skin Hunger: A Telematic InstallationProceedings of the 8th International Conference on Movement and Computing10.1145/3537972.3538010(1-3)Online publication date: 22-Jun-2022
https://dl.acm.org/doi/10.1145/3537972.3538010
Kaushik RLaViers A(2019)Imitation of Human Motion by Low Degree-of-Freedom Simulated Robots and Human Preference for Mappings Driven by Spinal, Arm, and Leg ActivityInternational Journal of Social Robotics10.1007/s12369-019-00595-y11:5(765-782)Online publication date: 1-Oct-2019
https://doi.org/10.1007/s12369-019-00595-y
Kaushik RLaViers A(2018)Imitating Human Movement Using a Measure of Verticality to Animate Low Degree-of-Freedom Non-humanoid Virtual CharactersSocial Robotics10.1007/978-3-030-05204-1_58(588-598)Online publication date: 27-Nov-2018
https://doi.org/10.1007/978-3-030-05204-1_58

Index Terms

Quantifying Coordination in Human Dyads via a Measure of Verticality
1. Applied computing
  1. Arts and humanities
    1. Performing arts
2. Human-centered computing
  1. Interaction design
    1. Empirical studies in interaction design

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MOCO '18: Proceedings of the 5th International Conference on Movement and Computing

June 2018

329 pages

ISBN:9781450365048

DOI:10.1145/3212721

Copyright © 2018 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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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 June 2018

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MOCO '18

MOCO '18: 5th International Conference on Movement and Computing

June 28 - 30, 2018

Genoa, Italy

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Cited By

Brown CGreenberg IBrimhall B(2022)Skin Hunger: A Telematic InstallationProceedings of the 8th International Conference on Movement and Computing10.1145/3537972.3538010(1-3)Online publication date: 22-Jun-2022
https://dl.acm.org/doi/10.1145/3537972.3538010
Kaushik RLaViers A(2019)Imitation of Human Motion by Low Degree-of-Freedom Simulated Robots and Human Preference for Mappings Driven by Spinal, Arm, and Leg ActivityInternational Journal of Social Robotics10.1007/s12369-019-00595-y11:5(765-782)Online publication date: 1-Oct-2019
https://doi.org/10.1007/s12369-019-00595-y
Kaushik RLaViers A(2018)Imitating Human Movement Using a Measure of Verticality to Animate Low Degree-of-Freedom Non-humanoid Virtual CharactersSocial Robotics10.1007/978-3-030-05204-1_58(588-598)Online publication date: 27-Nov-2018
https://doi.org/10.1007/978-3-030-05204-1_58

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