University of Hertfordshire

By the same authors

The social-dance: Decomposing naturalistic dyadic interaction dynamics to the 'micro-level.

Research output: Contribution to conferencePaperpeer-review

Standard

The social-dance: Decomposing naturalistic dyadic interaction dynamics to the 'micro-level. / Whyatt, Caroline; Torres, Elizabeth B.

2017. Paper presented at International Conference on Movement Computing, London, .

Research output: Contribution to conferencePaperpeer-review

Harvard

Whyatt, C & Torres, EB 2017, 'The social-dance: Decomposing naturalistic dyadic interaction dynamics to the 'micro-level.', Paper presented at International Conference on Movement Computing, London, 28/06/17 - 30/06/17. https://doi.org/10.1145/3077981.3078055

APA

Whyatt, C., & Torres, E. B. (2017). The social-dance: Decomposing naturalistic dyadic interaction dynamics to the 'micro-level.. Paper presented at International Conference on Movement Computing, London, . https://doi.org/10.1145/3077981.3078055

Vancouver

Whyatt C, Torres EB. The social-dance: Decomposing naturalistic dyadic interaction dynamics to the 'micro-level.. 2017. Paper presented at International Conference on Movement Computing, London, . https://doi.org/10.1145/3077981.3078055

Author

Whyatt, Caroline ; Torres, Elizabeth B. / The social-dance: Decomposing naturalistic dyadic interaction dynamics to the 'micro-level. Paper presented at International Conference on Movement Computing, London, .8 p.

Bibtex

@conference{7d627aa24f5e4c9c8a5ca8211c9e52f8,
title = "The social-dance: Decomposing naturalistic dyadic interaction dynamics to the 'micro-level.",
abstract = "The 'social dance' is an implicit, yet vital, characteristic of dyadic interactions. Attempts to characterize this complex behavior have illustrated unconscious levels of content and temporal entrainment within artificial social contexts. Yet, when viewed in a naturalistic setting, this complex systems problem faces a number of methodological and theoretical challenges. Utilizing precise kinematic recordings while adopting the 'micro-movement' approach, cross coherence analysis and tenets of graph theory, this paper presents an analytical framework to characterize unfolding, nonlinear temporal exchange and entrainment across a social dyad. This framework is empirically demonstrated within a clinical domain of individuals with known social difficulties: Autism Spectrum Disorder (ASD). Results illustrate the ability for this objective methodology to quantify variability in social dynamics, and profile dyadic entrainment during naturalistic exchange -- with no a priori constraints or limitations. Viewed within the context of a clinical assessment tool for ASD, results facilitate consideration of clinician impact on dyadic exchange, and point to a potential refinement of core tasks associated with such clinical batteries",
author = "Caroline Whyatt and Torres, {Elizabeth B.}",
note = "ACM New York, NY, USA {\textcopyright}2017.; International Conference on Movement Computing ; Conference date: 28-06-2017 Through 30-06-2017",
year = "2017",
month = jun,
day = "28",
doi = "10.1145/3077981.3078055",
language = "English",

}

RIS

TY - CONF

T1 - The social-dance: Decomposing naturalistic dyadic interaction dynamics to the 'micro-level.

AU - Whyatt, Caroline

AU - Torres, Elizabeth B.

N1 - Conference code: 4th

PY - 2017/6/28

Y1 - 2017/6/28

N2 - The 'social dance' is an implicit, yet vital, characteristic of dyadic interactions. Attempts to characterize this complex behavior have illustrated unconscious levels of content and temporal entrainment within artificial social contexts. Yet, when viewed in a naturalistic setting, this complex systems problem faces a number of methodological and theoretical challenges. Utilizing precise kinematic recordings while adopting the 'micro-movement' approach, cross coherence analysis and tenets of graph theory, this paper presents an analytical framework to characterize unfolding, nonlinear temporal exchange and entrainment across a social dyad. This framework is empirically demonstrated within a clinical domain of individuals with known social difficulties: Autism Spectrum Disorder (ASD). Results illustrate the ability for this objective methodology to quantify variability in social dynamics, and profile dyadic entrainment during naturalistic exchange -- with no a priori constraints or limitations. Viewed within the context of a clinical assessment tool for ASD, results facilitate consideration of clinician impact on dyadic exchange, and point to a potential refinement of core tasks associated with such clinical batteries

AB - The 'social dance' is an implicit, yet vital, characteristic of dyadic interactions. Attempts to characterize this complex behavior have illustrated unconscious levels of content and temporal entrainment within artificial social contexts. Yet, when viewed in a naturalistic setting, this complex systems problem faces a number of methodological and theoretical challenges. Utilizing precise kinematic recordings while adopting the 'micro-movement' approach, cross coherence analysis and tenets of graph theory, this paper presents an analytical framework to characterize unfolding, nonlinear temporal exchange and entrainment across a social dyad. This framework is empirically demonstrated within a clinical domain of individuals with known social difficulties: Autism Spectrum Disorder (ASD). Results illustrate the ability for this objective methodology to quantify variability in social dynamics, and profile dyadic entrainment during naturalistic exchange -- with no a priori constraints or limitations. Viewed within the context of a clinical assessment tool for ASD, results facilitate consideration of clinician impact on dyadic exchange, and point to a potential refinement of core tasks associated with such clinical batteries

U2 - 10.1145/3077981.3078055

DO - 10.1145/3077981.3078055

M3 - Paper

T2 - International Conference on Movement Computing

Y2 - 28 June 2017 through 30 June 2017

ER -