Literature DB >> 25998861

Quantifying Search Dog Effectiveness in a Terrestrial Search and Rescue Environment.

Ian Greatbatch1, Rebecca J Gosling2, Sophie Allen3.   

Abstract

OBJECTIVE: There is widespread and longstanding use of dogs in land search and rescue (SAR) operations, and their effectiveness is well accepted within the SAR community. However, very little published research exists that quantifies that effectiveness within a realistic SAR environment.
METHODS: This study included 25 experiments, conducted between October 2013 and February 2014 with 10 dog/handler pairs, using randomized target placement to calculate the ratio of hits, misses, and false positives per dog. Each dog was fitted with a GPS receiver to record their paths and ambient temperature. Wind strength and humidity were recorded throughout each run.
RESULTS: There was no identifiable correlation between humidity, temperature, or wind speed and effectiveness, but the age of the dog has a small positive correlation. Using a standard effectiveness formula, basic descriptive statistics were generated, which showed that the dogs tested were 76.4% successful overall, with an effectiveness of 62.9%. Dogs covered a mean distance 2.4 times greater than their human handlers but travelled at roughly average human walking speed.
CONCLUSIONS: This work represents a first attempt to quantify and understand levels of performance in lowland search dogs, and these results need to be understood within that context. A repeatable experimental framework has been demonstrated and provides a foundation for further work in this area.
Copyright © 2015 Wilderness Medical Society. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  canine ergonomics; search and rescue; search dogs; search effectiveness

Mesh:

Year:  2015        PMID: 25998861     DOI: 10.1016/j.wem.2015.02.009

Source DB:  PubMed          Journal:  Wilderness Environ Med        ISSN: 1080-6032            Impact factor:   1.518


  7 in total

1.  Training with varying odor concentrations: implications for odor detection thresholds in canines.

Authors:  Mallory T DeChant; Nathaniel J Hall
Journal:  Anim Cogn       Date:  2021-03-01       Impact factor: 3.084

2.  Biomimetic Sniffing Improves the Detection Performance of a 3D Printed Nose of a Dog and a Commercial Trace Vapor Detector.

Authors:  Matthew E Staymates; William A MacCrehan; Jessica L Staymates; Roderick R Kunz; Thomas Mendum; Ta-Hsuan Ong; Geoffrey Geurtsen; Greg J Gillen; Brent A Craven
Journal:  Sci Rep       Date:  2016-12-01       Impact factor: 4.379

3.  Effect of Handler Knowledge of the Detection Task on Canine Search Behavior and Performance.

Authors:  Mallory T DeChant; Cameron Ford; Nathaniel J Hall
Journal:  Front Vet Sci       Date:  2020-05-27

4.  Identification of dysfunctional human-dog dyads through dog ownership histories.

Authors:  Rute Canejo-Teixeira; Isabel Neto; Luís V Baptista; Maria Manuela Rodeia Espada Niza
Journal:  Open Vet J       Date:  2019-05-10

5.  Dogs display owner-specific expectations based on olfaction.

Authors:  Juliane Bräuer; Damian Blasi
Journal:  Sci Rep       Date:  2021-02-08       Impact factor: 4.379

6.  Stimulus Control of Odorant Concentration: Pilot Study of Generalization and Discrimination of Odor Concentration in Canines.

Authors:  Mallory T DeChant; Paul C Bunker; Nathaniel J Hall
Journal:  Animals (Basel)       Date:  2021-01-28       Impact factor: 2.752

Review 7.  Olfactory Generalization in Detector Dogs.

Authors:  Ariella Y Moser; Lewis Bizo; Wendy Y Brown
Journal:  Animals (Basel)       Date:  2019-09-19       Impact factor: 2.752

  7 in total

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