Loughborough University
Browse

The kinematics of false intent conveyed by deceptive sidestep actions

journal contribution
posted on 2025-02-19, 12:13 authored by Laurence S Warren-Westgate, Robin JacksonRobin Jackson, Michael HileyMichael Hiley

Researchers have identified kinematic differences between deceptive and non-deceptive rugby reorientation actions. However, the honest and deceptive signals corresponded to ‘deception detection’ (accuracy increasing) rather than signals that caused deception (accuracy decreasing). In this study, statistical parametric mapping and multilevel modelling were applied to examine the kinematic differences between sidestep and non-deceptive actions during the time window of deception. The analysis compared three-dimensional motion capture data from 144 deceptive actions and 144 genuine actions performed by six high-skilled rugby players. Results indi?cated that the kinematics of deceptive actions were characterized by a combination of exaggerated head roll, outside foot and centre-of-mass displacement, and attenuated thorax roll and yaw relative to genuine actions. These are candidate sources for the cause of deception, either individually or in combination with other sources. Furthermore, the results indicate that previously identified ‘honest’ signals may not be reliable sources of in?formation earlier in the action sequence

History

School

  • Sport, Exercise and Health Sciences

Published in

Psychology of Sport and Exercise

Volume

74

Publisher

Elsevier Ltd

Version

  • VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Acceptance date

2024-06-28

Publication date

28 June 2024

Copyright date

2024

ISSN

1469-0292

Language

  • en

Depositor

Dr Robin Jackson. Deposit date: 8 July 2024

Article number

102695

Usage metrics

    Loughborough Publications

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC