GENERAL COMMENTARY article

Front. Vet. Sci., 29 April 2021
Sec. Veterinary Humanities and Social Sciences
https://doi.org/10.3389/fvets.2021.629746

Commentary: Efficacy of Dog Training With and Without Remote Electronic Collars vs. a Focus on Positive Reinforcement

  • 1School of Psychology, University of Waikato, Tauranga, New Zealand
  • 2Researcher, Tauranga, New Zealand

A Commentary on
Efficacy of Dog Training With and Without Remote Electronic Collars vs. a Focus on Positive Reinforcement

by China, L., Mills, D. S., and Cooper, J. J. (2020). Front. Vet. Sci. 7:508. doi: 10.3389/fvets.2020.00508

Introduction

In an experimental analysis of the effectiveness of e-collars, China et al. (1) concluded that “there is no evidence to indicate that E-collar training is necessary” (p. 1). The paper contributes to a wider body of research on the use of e-collars for dog training, much of which is referenced in the paper. In this commentary, we focus on whether the methods and analysis support the findings, point to methodological inconsistencies between this and a companion paper (2), describe concerns with the statistical analysis, and suggest that the conclusions go well beyond the results.

E-collars are commonly used to reduce or prevent canine predation or aggression. With reference to welfare concerns, the justification is that predation behavior is life-threatening for both dog and attacked animal. An example is e-collar training to prevent hunting dogs from attacking kiwi [in New Zealand; (3)]. An intense electric shock is paired with a target stimulus (a stuffed kiwi) to produce a classically conditioned aversive response. The shock is delivered only once or twice, establishing a response that produces reliable avoidance of the target stimulus for up to 3 years (4).

China et al.'s (1) stated aim is to assess “the efficacy of the use of electronic collars to improve recall … and general obedience in dogs compared to training without E-collars” (p. 2). China et al. (1) do not claim to assess the efficacy of e-collars for the prevention of canine attacks. However, the paper may be used by governments to support a ban of e-collars for all training purposes, including the prevention of aggression (5).

Method and Results

There are issues with the experimental design. The “positive reinforcement” group of dogs was trained at a different time, at a different location, and by different trainers, relative to the other two groups. Additionally, assignment to groups was only semi-random; two owners did not want their dogs to be shocked, so two dogs assigned to the shock group were exchanged with two originally assigned to a no-shock group. These issues lower confidence in comparability of the data across groups. The results also depend critically on training outcomes on Day 5 when owners, rather than trainers, trained the dogs. Comparability with the results on earlier days are compromised by this methodological shift.

China et al. (1) report on a re-analysis by new observers of videos previously reported in less detail (2). Data (videos) were recorded over 5 days of training, with analysis and reporting of responses on Days 1, 3, and 5. Although the same videos were analysed, there are inconsistencies in reported methodology between the two papers. All dogs were trained by the owner rather than the professional trainer on the last day [usually Day 5, change in trainer not mentioned by China et al. (1)]. Dogs were on-lead for most of the training sessions and within 1 m of the trainer for 70% of the time [not mentioned by Cooper et al. (2)]. Repeated-measures statistics were used (appropriately) by Cooper et al. (2), but not by China et al. (1). Observer reliability testing for data extraction was used by Cooper et al. (2), but not by China et al. (1).

Blind data extraction occurred in both studies and is good practice, but if delivery of shock was not noticeable in the dogs' reactions (implied for the “shocked” group if the observers were truly blind), then the dogs were unlikely to have experienced “unnecessary suffering” (p. 9). Minimum shock levels were defined for each e-collar dog on Day 1, suggesting that shocks, if delivered at all, were mild. The training protocol was to negatively reinforce compliance on an obedience task (come or sit) through removal of electric shock or tugs on the lead followed by positive reinforcement (such as a verbal “good dog”). Such a procedure should progressively increase compliance, although there may be limits to that outcome if competing naturally reinforcing behaviours are not separately extinguished. Early research established the principle that elimination of unwanted behaviours is best achieved if the unwanted behaviour is made contingent on punishment delivered at the maximum acceptable level of intensity (6). Classical conditioning, involving pairing a target stimulus with an intense unpleasant experience, can eliminate approach behaviour in as little as one event (as in the kiwi example). China et al. (1) do not make use of these contingencies.

Owners reported a very high probability of the unwanted behaviour (noting that this was aggression, not obedience). Yet, in the training sessions, all dogs exhibited remarkably high compliance to obedience commands—even on the first day. The absence of baseline pre-treatment data makes it difficult to assess the effects of the training context, although aspects of it, for example, being on lead and close to a stranger in strange circumstances, were the likely cause of high overall compliance. Increasing familiarity with a strange context possibly contributed to the reduced compliance that was observed in some groups over time [Figures 4, 5 (1)]. However, the shift to a different trainer (the owner) on Day 5 also compromises both the claim that the training methodology was the same on all training days, and the interpretation of the results. Both of the key statistical results appear to rely most strongly on differences between Day 5 and the other 2 days, and those differences could be attributable to the dogs' response to the owner-as-trainer.

We have concerns about the statistical analyses. We believe that a repeated-measures analysis, as used by Cooper et al. (2), should have been used by China et al. (1) (the quoted degrees of freedom indicate that it was not), that interaction effects should have been explored (the data in Figure 4 (1) suggest a significant interaction that would have delivered the opposite result to the conclusion drawn), and that Type I errors were introduced by multiple analyses [e.g., a Bonferroni adjustment would likely have eliminated the first significant result in Table 5 (1)]. These statistical anomalies are not minor issues, as they potentially compromise or even reverse the key results in the paper.

Conclusion

Most dogs were referred for behavioral treatment because of aggression, primarily attacks on farm animals. Most training was conducted close to sheep and chickens. Thus, the context of undesirable behaviour was mimicked, but the problem behaviors were not addressed. No background information is provided on the baseline compliance of any of the dogs with standard obedience commands, although the data for Day 1 in Figures 4, 5 (1) suggest they were high. However, attacks by dogs are unlikely to be initiated when the owner is within 1 m and the dog is on-lead. China et al.'s (1) results shed no light on the possible behavior of the dog off-lead or when the owner is absent, and therefore cannot be used as an empirical justification for removing e-collars as a technique for treating dogs with behavioural problems.

The claim about unnecessary suffering to the dog [final sentence, p. 9, (1)] was not based on any presented results and reflects a moral or welfare perspective outside the framework of the paper.

Use of intense electric shock clearly raises ethical concerns [reviewed by (7)], but when elimination of unwanted behavior is essential, e.g., because the lives of both the dog and the attacked animal are at stake, it may be morally more appropriate to use very few deliveries of a strong and effective shock, than many deliveries of weak negative reinforcement that may not eliminate the problem behavior.

As applied researchers ourselves, we applaud the researchers for their contribution to the research on e-collars. However, the research presented by China et al. (1) is, at best, a limited test of e-collars. The results are compromised by design constraints and inappropriate statistical analyses. The problem for which the dogs were referred to trainers was not directly addressed, and the real-life context in which problem behaviors occur was not replicated in the study.

Author Contributions

RS and IM worked equally on the commentary. All authors contributed to the article and approved the submitted version.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

1. China L, Mills DS, Cooper JJ. Efficacy of dog training with and without remote electronic collars vs. a focus on positive reinforcement. Front. Vet. Sci. (2020) 7:508. doi: 10.3389/fvets.2020.00508

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Cooper JJ, Cracknell N, Hardiman J, Mills D. The welfare consequences and efficacy of training pet dogs with remote electronic training collars in comparison to reward based training. PLoS ONE. (2014) 9:e102722. doi: 10.1371/journal.pone.0102722

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Dale RA, Statham S, Podlesnik CA, Elliffe D. The acquisition and maintenance of dogs' aversion responses to kiwi (Apteryx spp.) training stimuli across time and locations. Appl Anim Behav Sci. (2013) 147:107–11. doi: 10.1016/j.applanim.2013.04.006

CrossRef Full Text | Google Scholar

4. Dale AAR, Podlesnik CA, Elliffe D. Evaluation of an aversion-based program designed to reduce predation of native birds by dogs: an analysis of training records for 1156 dogs. Appl Anim Behav Sci. (2017) 191:59–66. doi: 10.1016/j.applanim.2017.03.003

CrossRef Full Text | Google Scholar

6. Azrin NH. Effects of punishment intensity during variable-interval reinforcement. J Exp Anal Behav. (1960) 3:123–42. doi: 10.1901/jeab.1960.3-123

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Guilhermes-Fernandes JG, Olsson IA, Castro AC. Do aversive-based training methods actually compromise dog welfare? A literature review. Appl Anim Behav Sci. (2017) 196:1–12. doi: 10.1016/j.applanim.2017.07.001

CrossRef Full Text | Google Scholar

Keywords: dogs, e-collars, predation, training, punishment

Citation: Sargisson RJ and McLean IG (2021) Commentary: Efficacy of Dog Training With and Without Remote Electronic Collars vs. a Focus on Positive Reinforcement. Front. Vet. Sci. 8:629746. doi: 10.3389/fvets.2021.629746

Received: 15 November 2020; Accepted: 08 February 2021;
Published: 29 April 2021.

Edited by:

Sabine G. Gebhardt-Henrich, University of Bern, Switzerland

Reviewed by:

Anna Olsson, University of Porto, Portugal
Ana Catarina Vieira De Castro, University of Porto, Portugal

Copyright © 2021 Sargisson and McLean. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Rebecca J. Sargisson, rebecca.sargisson@waikato.ac.nz

Download