Literature DB >> 26850024

Can biological motion research provide insight on how to reduce friendly fire incidents?

Kylie A Steel1, David Baxter2, Sera Dogramaci3, Stephen Cobley4, Eathan Ellem5.   

Abstract

The ability to accurately detect, perceive, and recognize biological motion can be associated with a fundamental drive for survival, and it is a significant interest for perception researchers. This field examines various perceptual features of motion and has been assessed and applied in several real-world contexts (e.g., biometric, sport). Unexplored applications still exist however, including the military issue of friendly fire. There are many causes and processes leading to friendly fire and specific challenges that are associated with visual information extraction during engagement, such as brief glimpses, low acuity, camouflage, and uniform deception. Furthermore, visual information must often be processed under highly stressful (potentially threatening), time-constrained conditions that present a significant problem for soldiers. Biological motion research and anecdotal evidence from experienced combatants suggests that intentions, emotions, identities of human motion can be identified and discriminated, even when visual display is degraded or limited. Furthermore, research suggests that perceptual discriminatory capability of movement under visually constrained conditions is trainable. Therefore, given the limited military research linked to biological motion and friendly fire, an opportunity for cross-disciplinary investigations exists. The focus of this paper is twofold: first, to provide evidence for the possible link between biological motion factors and friendly fire, and second, to propose conceptual and methodological considerations and recommendations for perceptual-cognitive training within current military programs.

Entities:  

Keywords:  Biological motion; Friendly fire; Intention; Movement signatures; Recognition; Training

Mesh:

Year:  2016        PMID: 26850024     DOI: 10.3758/s13423-016-1006-9

Source DB:  PubMed          Journal:  Psychon Bull Rev        ISSN: 1069-9384


  39 in total

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Journal:  Psychol Sci       Date:  2000-05

2.  RTbox: a device for highly accurate response time measurements.

Authors:  Xiangrui Li; Zhen Liang; Mario Kleiner; Zhong-Lin Lu
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Authors:  Frank E Pollick; Jim W Kay; Katrin Heim; Rebecca Stringer
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Journal:  Percept Mot Skills       Date:  2006-12

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Journal:  Accid Anal Prev       Date:  2009-02-21

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Authors:  F F Zhu; J M Poolton; M R Wilson; J P Maxwell; R S W Masters
Journal:  Biol Psychol       Date:  2011-02-18       Impact factor: 3.251

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Authors:  David Cottrell; Megan E J Campbell
Journal:  Perception       Date:  2014       Impact factor: 1.490

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Journal:  Perception       Date:  1994       Impact factor: 1.490

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Authors:  Robin C Jackson; Peter Mogan
Journal:  J Mot Behav       Date:  2007-09       Impact factor: 1.328

10.  Estimating the efficiency of recognizing gender and affect from biological motion.

Authors:  Frank E Pollick; Vaia Lestou; Jungwon Ryu; Sung-Bae Cho
Journal:  Vision Res       Date:  2002-09       Impact factor: 1.886

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