You are currently viewing a new version of our website. To view the old version click .
Animals
  • Article
  • Open Access

1 July 2021

Expert Perspectives on the Performance of Explosive Detection Canines: Performance Degrading Factors

,
and
1
Army Medical Department Student Detachment, 187th Medical Battalion, 32nd Medical Brigade, Joint Base San Antonio-Fort Sam Houston, San Antonio, TX 78006, USA
2
Penn Vet Working Dog Center, Clinical Sciences and Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA 19019, USA
3
Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19019, USA
*
Author to whom correspondence should be addressed.
This article belongs to the Collection Health, Behaviour and Performance in Working Dog Teams

Simple Summary

Explosive detection canines are a unique resource used to protect a peaceful way of life. Searching for explosives is a difficult task that exposes both the canine and their handler to many factors that may affect their performance. Understanding these factors is essential to measuring and supporting the performance of the explosive detection canine team. This study is the first to systematically document these factors and uses expert interviews to learn from the handlers, trainers, and leaders closest to explosive detection canines. Through these interviews, numerous factors were identified in the areas of how the canine is utilized, the canine–handler interaction, and the physical, climate, operational, and explosive odor environments. Many of these factors are related to how the canine is used, a portion are known before the search starts, and some are only revealed during the search. This organized understanding of the challenges explosive detection canines face enables enhanced selection, training, assessment, and utilization and research into performance sustainment.

Abstract

The explosive detection canine (EDC) team is currently the best available mobile sensor capability in the fight against explosive threats. While the EDC can perform at a high level, the EDC team faces numerous factors during the search process that may degrade performance. Understanding these factors is key to effective selection, training, assessment, deployment, and operationalizable research. A systematic description of these factors is absent from the literature. This qualitative study leveraged the perspectives of expert EDC handlers, trainers, and leaders (n = 17) to determine the factors that degrade EDC performance. The participants revealed factors specific to utilization, the EDC team, and the physical, climate, operational, and explosive odor environments. Key results were the reality of performance degradation, the impact of the handler, and the importance of preparation. This study’s results can help improve EDC selection, training, assessment, and deployment and further research into sustaining EDC performance.

1. Introduction

The value of explosive detection canines (EDCs) in neutralizing and deterring threats to public safety is well understood [1,2,3,4,5]. We have detailed the requirements these EDCs must meet while performing their lifesaving functions [6]. The EDC team is unique compared to other explosive detection methods, as mammals on both ends of the leash must perform to the same high level for successful detection. The performance of the EDC and handler is dynamic, and searching for explosives in operational settings exposes the team to additional factors, some of which may be unidentified at the start of the search, that may affect the team’s performance [7,8].
Successful EDC selection, training, assessment, utilization, and research rely on a detailed understanding of both the operational requirements and the factors degrading operational performance [8,9,10]. While some of these factors have been documented and explored in the literature, our knowledge remains incomplete. These performance-degrading factors are best understood by EDC practitioners: the handlers, trainers, and leadership who have experienced their effects in operational settings [11,12,13]. The institutional knowledge these individuals have accumulated, especially during the global war on terrorism, is a precious resource that must be systematically captured to benefit current and future EDCs. Much of this institutional knowledge is informally collected and shared amongst EDC practitioners during training, and this oral tradition means important information may be limited to current and recent practitioners [13,14]. A broad and methodical capture of this information is necessary, while remaining cognizant of the challenges with documenting critical information and accumulating and analyzing unclassified information [6,15].
We sought to identify the perceptions that EDC practitioners have of factors degrading EDC performance. Our goal was to recruit highly experienced individuals from across the spectrum of EDC-utilizing organizations to reveal both the factors common to EDCs and those unique to specific utilizations. In our analysis, we aimed to generate hypotheses for the causes and effects of each factor, setting the stage for future research.

2. Materials and Methods

2.1. Study Design and Participants

In-depth, semi-structured interviews with EDC experts from four utilization sectors (law enforcement, military, federal, and private) were conducted. These sectors were selected as they represent the primary domains in which EDCs operate. This qualitative study was led by a working dog veterinary practitioner (BDF) with expertise in EDC care, training, and program management and graduate training in qualitative research, in collaboration with a working dog veterinary practitioner (CMO) with expertise in detection dog research, and a medical sociologist (JES) with expertise in mixed-methods research. We sought to create a purposive sample that included individuals in each EDC utilization sector with a broad range of experience as a handler, trainer, and/or leader. We limited the sample to U.S.-based EDC practitioners for this study. Subject matter experts were identified through key individuals at representative organizations that employ, train, or manage EDC teams for each utilization sector. These experts were recruited by email, and no incentive was offered for participation. The protocol was deemed exempt by the University of Pennsylvania Institutional Review Board.

2.2. Data Collection

Semi-structured interviews were conducted from April to May 2020. The interview guide contained open-ended questions intended to elicit participant knowledge and perceptions of operational requirements of EDCs (see Supplementary Materials for the guide). The key domains in the guide were the participant’s experience with EDC team performance and the physical, climate, operational, and explosive odor environments. One interview was conducted in person, and the remainder were conducted via telephone by BDF. Prior to the start of the interview, participants were made aware of this study’s purpose to characterize the operational performance requirements of EDCs. The interviewer assured potential participants that any sensitive or classified information shared during the interview would be redacted from the final dataset and no personally identifiable information would be collected. With permission of the participant, the interview was audio recorded.

2.3. Data Analysis

All audio files were transcribed and uploaded into NVivo software (version 12, QSR International, Doncaster, Australia) for coding [16]. Data were analyzed using a flexible coding approach by one coder (BDF) in conjunction with two collaborators [17]. The interview guide was reviewed to guide the development of an index codebook, which was applied by BDF to two transcripts. The study team reviewed the application of the codebook to the data and suggested revisions. Discrepancies were resolved by consensus. Once the final codebook was developed, it was applied, line by line, to all transcripts. Once all transcripts were coded, we examined patterns of themes within key domains across interviews. We summarized repeated themes across respondents and grouped them into two distinct categories: operational requirements of EDCs and performance-degrading factors. The results we report in this manuscript are themes that were endorsed by the majority of participants.

2.4. Security Review and Omitted Data

The analyzed data were reviewed by the appropriate Department of Defense security offices and by individuals experienced in EDC operations. Any data determined to be inappropriate for publication were omitted.

3. Results

3.1. Characteristics of Study Participants

Interviews were conducted with 17 EDC experts. Over half (n = 11, 64.7%) of the participants had experience as an EDC handler, and nearly all had experience as an EDC trainer (n = 14, 82.4%) or in leadership over EDC teams (n = 14, 82.4%). The majority of participants had experienced employment in multiple occupational settings, with 52.9% (n = 9) having experience in the military, 29.4% (n = 5) in law enforcement, 23.5% (n = 4) in the federal sector and 70.6% (n = 12) in the private sector. Participants with experience as an EDC handler, trainer, or leader had an average of 8.0 (range 1–17), 18.2 (range 2–35), and 17.6 (range 2–25) years of experience, respectively. Participants with an experience as an EDC handler or trainer had experience in these roles an average of 14.3 (range 0–28) and 5.4 (range 0–23) years ago, respectively, and all participants with experience as a leader were currently in that role. Many of the participants had additional experience selecting and procuring potential EDCs, certifying and auditing EDCs and EDC teams, consulting, teaching, participating in EDC working groups, and EDC-related research, development, testing, and evaluation. Interviews ranged in length from 36 to 74 min, with a median of 58 min. In the sections that follow, exemplar quotes to support key themes will be provided in the accompanying tables.

3.2. The Context of EDC Utilization: Degrees of Control

As we have previously reported, participants in this study described the variety of ways in which EDCs are generally used for screening and/or clearing operations, including the operational environment in which they are expected to perform [6]. In considering the factors that shape performance, our participants suggested it was important to recognize that EDC operations involve varying degrees of control over the situation—high, moderate, and low. Highly controlled operations include indoor clearance operations for dignitaries, demining operations, or building clearance in response to a bomb threat. In these operations, the area to be cleared is usually empty, and the clearance is performed with little or no time pressure (Table 1, Quote 1). Operations with moderate control include clearing active warehouses or large maritime vessels, screening crowds, or military cordon and search operations. In these operations the lower control means the EDC will experience a more complex situation with increased stimuli and more time pressure (Table 1, Quote 2). Some operations are innately difficult to control. An EDC clearing the exterior of a building prior to a military or law enforcement raid or the interior of a building during the raid is subject to a highly complex situation with significant stimuli and time pressure that may affect its performance (Table 1, Quote 3). EDCs also performing criminal apprehension or assault tasks face additional challenges, especially if these additional roles occur immediately prior to or concurrent with detection (Table 1, Quote 4).
Table 1. EDC utilization factor themes and exemplar quotations.

3.3. EDC Team Factors—Handler Behavior

Participants stated that to sustain high levels of performance, the EDC and handler must function well together. This team performance starts with handler skill and orientation to the work (Table 2, Quote 5). Participants explained that handler frustration with the EDC or decreased interest in the work may cause handlers to reduce their reward frequency, correct unwanted behavior too aggressively, or shift to more compulsion-based handling techniques (Table 2, Quote 6). Handler interactions may result in the EDC becoming too handler-dependent and unwilling to work away from the handler appropriately (Table 2, Quote 7). Participants suggested that handlers required to conduct repeated searches at the same location often experience a malaise in which they may not interact with the EDC as frequently or in their usual manner, demotivating the EDC and leading to a reduction in the thoroughness of the search. Conversely, handlers with a high suspicion of encountering an explosive may be too involved in the search process and not let the EDC work independently (Table 2, Quote 8).
Table 2. EDC team factors—handler behavior themes and exemplar quotations.
Given the variable and dynamic environments in which they work, handlers must be able to anticipate a change in EDC performance and take the appropriate steps to restore the EDC to an effective level. Handlers who do not sufficiently understand the detection process, lack sufficient rapport or experience with the EDC, or do not understand the EDC’s particular searching abilities may not respond appropriately. These handlers may miss the signs of altered performance or pull the EDC away from explosive odor by failing to recognize the appropriate cues (Table 2, Quote 9).
Participants explained that EDCs may perform at a reduced level when they do not interact with their handler appropriately. An EDC that is too dependent on the handler may try to appease the handler, look for cues from the handler, or be unwilling to search away from the handler (Table 2, Quote 10). On the other end of the spectrum, an EDC that is too independent from the handler may not respond to direction to search productive or missed areas (Table 2, Quote 11). EDCs may also break the search pattern and move around the search area randomly. This dependency or excessive independence may be a result of either inappropriate actions by the handler or an immature EDC-handler bond.

3.4. EDC Team Factors—Physical Limitations of the EDC

Participants stated that, in addition to handler behavior and skill, EDCs performance may be degraded by their own physical limitations. Hunger, thirst, pent-up energy from lack of activity, or a need to urinate or defecate may affect their performance. EDCs with insufficient athleticism may be unable to access and traverse elevated, unstable, or restricted spaces. A lack of climate acclimatization, olfactory endurance, or physical fitness (e.g., cardiopulmonary and muscular endurance) may cause an EDC to alter its search behavior or miss an explosive odor (Table 3, Quote 12). Discomfort or pain from illness or a musculoskeletal or neurological issue may cause an EDC to avoid movements (e.g., standing on the hind limbs) necessary for effective performance (Table 3, Quote 13).
Table 3. EDC team factors—physical limitations of the EDC themes and exemplar quotations.

3.5. Physical Environmental Factors

3.5.1. Manmade Physical Environment Factors

Participants described multiple manmade physical environment factors that can influence the performance of EDCs. Specifically, performance may be degraded by novel surfaces, confined spaces, elevated spaces, novel equipment, and lighting, described in detail below.

Manmade Surfaces

EDCs are commonly adversely affected by slippery, transparent, rough, sharp, moving, or unstable surfaces. Transitions between surface types, even if the EDC is familiar with both surfaces, may affect performance. Negative effects range from minor distraction to an inability to locate the source of explosive odor (Table 4, Quote 14).
Table 4. Manmade physical environmental factor themes and exemplar quotations.
Some EDCs may encounter novel surfaces during operational detection. These dogs may have limited or no time to acclimate to these surfaces. A highly controlled clearance operation (e.g., for a dignitary) may allow a handler to observe hesitation or distraction in their EDC and adjust accordingly, whereas, in a less controlled clearance operation (e.g., during a low-light assault), reduced performance may go unnoticed by the handler. An EDC performing detection out of sight of their handler may refuse to enter an area with a novel surface leaving that area unsearched but presumed cleared, potentially resulting in harm to personnel.
EDCs may struggle on novel surfaces due to fear, anxiety, distraction, and lack of exposure during critical developmental periods. The novel or uncomfortable physical stimuli may distract them from the challenging mental task of explosive detection.

Confined Spaces

EDCs may be required to search confined spaces (e.g., restrooms or cockpit of an aircraft) or pass through them to access other areas (e.g., tunnel systems or narrow spaces running the length of an enclosed commercial trailer). Confined spaces adversely affect performance either due to the EDC being unwilling to enter them or being unable to turn around and exit headfirst (Table 4, Quote 15). EDCs may demonstrate an unwillingness to search these areas, stress responses during the search, or an unwillingness to respond (if their trained final response is a sit or down) near the source of the odor. Participants suggested that organizations utilizing EDCs to search confined spaces may elect to employ EDCs of smaller size to mitigate some of these factors. As with novel surfaces, an insufficiently acclimated EDC encountering a confined space during operational detection may leave an area uncleared to the detriment of the personnel accompanying them (Table 4, Quote 16).
Degraded performance in confined spaces may result from fear, distraction, lack of exposure, inadequate training, and insufficient neuromuscular fitness. The EDC handler may also not be familiar with the effect of confined spaces on their EDC’s behavior.

Elevated Areas

EDCs experience degraded performance when searching the top of a building and abruptly obtaining perspective on their elevation by seeing through either the floor or walls (Table 4, Quote 17). An EDC may be affected by this elevation either situationally (e.g., hesitant to search near an edge it can see through or on a transparent surface) or chronologically (e.g., a decrease in performance after becoming aware of the elevation).

Novel or Noxious Equipment

EDCs may exhibit degraded performance near novel or noxious equipment. The top floors of industrial and commercial buildings or entertainment and sporting venues often contain communication, electrical, plumbing, and heating, ventilation, and air conditioning equipment. These areas are potentially also confined, accessed by elevated catwalks with metal grate flooring, and dark, further complicating the challenge (Table 4, Quote 18). EDCs may encounter unfamiliar machinery, sudden or loud sounds, noxious or harmful gases, distracting odors, or heat (Table 4, Quote 19).
Equipment of this kind may affect EDC performance due to a lack of prior acclimation or encountering unfamiliar equipment. The accumulation of visual, tactile, and auditory stimuli may be sufficiently distracting to affect performance.

Light

Unless appropriately acclimated, EDCs may be afraid of or hesitant to go into low or no-light areas. Detection performance may also drop off immediately after a rapid transition in lighting (Table 4, Quote 20). While canine vision is more adept in low-light situations than human vision, the rapid reduction in visual capacity or overwhelming increase in the light available for dark-adapted eyes may limit navigational abilities or distract from the detection task.

Manmade Airflow

EDCs depend on odor capture while searching. Odor near a large vehicle may be pushed away with the vehicle’s arrival, and odor away from the vehicle may be pulled toward the former location of the vehicle as it departs. Ventilation systems may move explosive odor from the source to a different location inside or outside the structure or from outside the structure to the inside. Similarly, open exterior windows and doors or fans at floor level and higher disrupt airflow and may challenge an EDC. The airflow inside a structure is altered by walls, opened or closed doors, furniture, hallways, stairwells, and elevators. The airflow outside a structure is disrupted as the air encounters the structure. These factors may cause an EDC to miss the presence of explosive odor entirely, be unable to locate the source of the odor, falsely indicate due to stress or frustration, or indicate in a location where odor has been concentrated but that is not the location of the explosive (Table 4, Quote 21).

3.5.2. Natural Physical Environment Factors

Surfaces, subterranean areas, and airflow in the natural physical environment may degrade EDC performance. While subterranean areas may only be encountered by certain EDCs, all EDCs must deal with the surfaces and wind patterns of the natural physical environment

Natural Surfaces

As with manmade surfaces, any novel natural surface may degrade the performance of an EDC. Encountering novel natural surfaces is unusual for most EDCs, but EDCs deployed to geographically distant locations may encounter and be expected to perform on unfamiliar surfaces. EDCs may be affected by gravel, rocky surfaces, noxious vegetation, and sand. These surfaces may cause immediate discomfort, distraction, and unwillingness to enter or remain in an environment, and traversing sand may result in minor soft tissue injuries to the distal limbs, and lead to future degraded performance (Table 5, Quote 22).
Table 5. Natural physical environmental factor themes and exemplar quotations.

Subterranean Areas

Whether natural, modified by humans, or entirely manmade, subterranean areas challenge EDCs (Table 5, Quote 23). Some subterranean areas are poorly lit, confined, and have inclined, novel, or uncomfortable surfaces. Subterranean areas may contain noxious or toxic gases an EDC will encounter before associated personnel and that could affect their olfactory system. The airflow in these areas may be static, keeping explosive odor close to the source, or unpredictable, affecting an EDC’s ability to locate the source. EDCs working off-leash or on a long line may quickly move out of sight of their handler making communication and recognition of responses to odor or noxious stimuli difficult.

Natural Airflow

Similar to airflow inside or around manmade structures, natural terrain, terrain modified by humans, and vegetation alter airflow in the natural environment. Tall vegetation, ditches, potholes, vehicle ruts, and currently empty seasonal bodies of water may create areas with no airflow. Whether performing the precision work of searching for landmines or doing more rapid air scenting while moving along a route, an EDC must either independently navigate its nose to these areas or be directed to do so by its handler (Table 5, Quote 24). Failure by both EDC and handler to perform these functions may result in an explosive being missed and harm being inflicted on the EDC or accompanying personnel.

3.6. Climate Environmental Factors

Heat and humidity, wind, and exposure to novel situations without acclimatization may degrade an EDC’s performance directly and through its effects on the handler. The altered demeanor of a handler resulting from physical discomfort in environmental extremes may degrade the EDC’s performance (Table 6, Quote 25). Heat (e.g., the ambient temperature, direct exposure to sunlight, and hot surfaces) and humidity may significantly affect an EDC’s performance (Table 6, Quote 26). An elevated ambient temperature increases the burden of thermoregulation on an EDC already working to respire while navigating the physical environment and sniffing for explosives. Elevated humidity decreases the effectiveness of the EDC’s natural evaporative cooling mechanisms, and exposure to sunlight directly heats the EDC through radiation. These three factors may limit the EDC’s ability to effectively sniff with a closed mouth, thereby decreasing detection performance, or they may require the EDC to reduce their work-to-rest ratio. These factors in addition to hot surfaces may also distract the EDC from its detection task. EDCs working in hot or humid environments without the benefit of appropriate acclimatization may perform at an even more degraded level (Table 6, Quote 27).
Table 6. Climate environmental factor themes and exemplar quotations.
EDCs may be unable to detect an explosive odor due to the wind altering the path of the molecules, and if they do detect explosive odor, they may be unable to identify the source. EDCs who have not been previously exposed to novel climates (e.g., snow) or asked to detect in more common climates (e.g., rain) may be distracted or uncomfortable, resulting in reduced performance (Table 6, Quote 28).

3.7. Operational Environmental Factors

Each EDC may experience many or just a few operational environment factors depending on their individual organization and utilization. These factors may also affect the EDC handler (especially if personal safety is at risk) and limit their ability to direct or monitor their EDC.
An EDC may respond to the behavior and emotion of their handler and surrounding personnel. These individuals may be excited and anxious (e.g., in preparation for a raid or when explosives are expected to be found), or they may be depressed and bored (e.g., when repeatedly searching an area) (Table 2, Quote 8). The EDC itself may show decreased hunt drive when asked to search an area again after a short interval (Table 7, Quote 29). EDCs may be highly distracted by the sight or smell of other animals. Smaller animals may be viewed as a food source, similarly sized or larger animals may be viewed as a companion or a threat, and intact females may present an opportunity to reproduce (Table 7, Quote 30). People in the environment may be a degrading factor. People may distract the EDC by their presence (e.g., nearby security personnel), novelty (e.g., affiliated personnel unknown to the EDC), positive interactions (e.g., giving physical or verbal reinforcement), negative interactions (e.g., direct prolonged eye contact), novel behavior (e.g., yelling, running, or intoxication), or novel presentation (e.g., detained, injured, or deceased) (Table 7, Quote 31). Exposure to radically different background odors without appropriate acclimation or operating around food odor (especially for food reward EDCs) may also degrade performance (Table 7, Quote 32).
Table 7. Operational environmental factor themes and exemplar quotations.
EDCs may be affected by sudden (e.g., fireworks), noxious (e.g., loud or high-pitched), or novel (e.g., children screaming) sounds, or sounds associated with positive (e.g., human voices) or stimulating (e.g., gunfire or similar sounds for a criminal apprehension or assault EDC) experiences (Table 7, Quote 33). Prolonged transport or confinement in a novel vehicle may degrade performance upon arrival to a search location (Table 7, Quote 34). EDCs working away from the handler (e.g., on a long line, off-leash, or out of sight) may be more difficult for the handler to direct and monitor for changes in behavior or performance. Finally, EDCs trained to engage people may be distracted from the search task by visual (e.g., observing a potential target), behavioral (e.g., actions by the handler or affiliated personnel), or audible (e.g., gunfire, sirens, or yelling) cues indicating an engagement is imminent (Table 7, Quote 35). Similarly, an EDC who recently performed an engagement may have their performance degraded upon resuming detection. Each of these operational environment factors may cause distraction and unpredictable performance and impair the ability to recover or rapidly acclimate. The EDC may also become fatigued from indirectly experiencing these factors before being asked to perform detection (Table 7, Quote 36).

3.8. Explosive Odor Environmental Factors

Target odor availability, location, and type, and the effects of climate and terrain may degrade the performance of the EDC. A small amount of explosive with a low surface area presents a smaller scent picture to the EDC. EDCs with a detection threshold above what is required for that scent picture may miss small amounts of odor (Table 8, Quote 37). In addition, a subtle change in behavior associated with an operational explosive may be missed by handlers who are used to the response their EDC displays when responding to larger scent pictures (Table 8, Quote 38).
Table 8. Explosive odor environmental factor themes and exemplar quotations.
Any attempt to conceal the odor decreases the number of molecules available for detection, and masking the odor (e.g., intentionally with distractor or noxious odors or unintentionally with background odors) may degrade the EDC’s ability to identify the target odor (Table 8, Quote 39). Background odors similar to those found in explosives (e.g., petroleum fuels) may cause an EDC with an insufficient ability to discriminate to falsely respond. Repeated false responses may degrade the trust the handler and supporting personnel place in the EDC. Each explosive has a different vapor pressure that affects the rate at which molecules become available for detection (Table 8, Quote 40). The time interval between placement of the explosive and attempted detection by the EDC also plays a role. An explosive with a low vapor pressure that was placed shortly before the EDC searches that area may be more challenging to locate (Table 8, Quote 41). The ability of EDCs to detect explosives may be degraded by placement in atypical locations (e.g., buried, within a wall, or far off the ground) or in objects in which the EDC is not experienced in identifying explosives. In each of these situations, the EDC may be unable to identify the source of the odor and may be unsure of the appropriate response. An explosive odor encountered operationally may differ (e.g., homemade explosive with different ingredients or standard explosive with regional differences) from what the EDC experienced in training, and an insufficient ability to generalize may degrade performance (Table 8, Quote 42).
The prevailing climate may affect how an explosive odor presents to an EDC. Colder temperatures decrease the vapor pressure, decrease odor dissipation, keep molecules close to the source, potentially making initial detection more difficult but source identification easier. Warmer temperatures have the opposite effect and may degrade performance by making source identification more difficult. High humidity causes molecules to remain near the ground and may make initial detection more difficult but source identification easier. Low wind speeds in a consistent direction may enhance an EDC’s ability to identify odor while high wind speeds and inconsistent directions may degrade an EDC’s performance (Table 8, Quote 43). Finally, depressions in the terrain (e.g., tire ruts and drainage ditches) and obstructions in the physical environment (e.g., trees and elevated terrain) may change how odor moves and may create dead spaces that degrade performance unless directly investigated (Table 8, Quote 44).

4. Discussion

The purpose of this study was to explore the perspectives of subject matter experts on the factors that degrade the performance of EDCs. As this study revealed, many of these factors are best known by those who have observed them firsthand [13,14,18]. Learning from and documenting these accumulated observations unlocks operationally realistic performance assessment and future EDC research.
Searching for explosives is a prolonged and often repetitive process with extremely rare finds and lethal consequences for failure [19,20]. While the EDC team is currently the best mobile capability available to perform this task, they are pitted against intelligent adversaries and must perform at a consistently high level in challenging environments [5]. These realities underpin the importance of understanding, preparing for, and mitigating as much performance degradation as possible [8,21].
Performance degradation is to be expected when searching beyond a short duration. Each passing minute exposes the EDC team to more external stimuli, and the climate and effects of fatigue and boredom have a cumulative effect [19,22]. Some degrading factors (e.g., heat and humidity) are known before the search begins, have a relatively consistent effect, and manifest in externally observable signs [7,23,24]. Other factors are unknown beforehand (e.g., novel floor surface), may have an inconsistent effect (e.g., wind speed and direction), and may not result in changes in performance apparent to the handler (e.g., helicopter transport) [25]. Whatever form these factors may take, further exploration is needed to identify the specific impact on performance, develop monitoring tools, and devise mitigations to sustain performance wherever possible [26,27].
This expected degradation in performance highlights the critical role of the EDC handler [28,29,30]. This individual must anticipate alterations in performance or identify the subtle signs of early performance degradation. Conversely, the handler is the cause of numerous key effects including inadequate physical fitness, boredom (on both ends of the leash), and improper involvement in the search process [31,32,33,34]. Handlers require the training, experience, mentorship, and rapport with their EDC to be successful as much rests on the shoulders of these often junior personnel.
Every participant stressed the importance of preparation and acclimation to mitigate as much of the effect of these degrading factors as possible. Participants highlighted the importance of including all known factors in an EDC’s initial training and ensuring consistent access to continued exposure after initial certification. Selecting an innately confident future EDC is key as acclimation may mask behaviors that could emerge and degrade performance at inopportune times [9,35]. Some of the factors (e.g., elevated spaces and noxious stimuli from machinery) involve innate mammalian responses that may be difficult to fully overcome [36,37].
EDCs trained to perform criminal apprehension or assault functions face additional challenges. Some dogs may perform at equally high levels in both searching for explosives and searching for and engaging humans. Participants reported, however, the tendency for a dog to be better at one function than the other and the increased time and divided focus these utilizations require. Participants concluded that while financial pressures and organizational preferences drive the trend towards multiple utilizations, the best explosive detection is performed by single-purpose EDCs.
Finally, these results revealed that “operationally realistic” can mean many different things depending on how the EDC is utilized for a particular deployment. Organizations and researchers seeking to explore and assess EDC performance must carefully determine the specific type and degree of each factor the EDC in question will face.
The strengths of this study were the expert interview approach and the inclusion of highly experienced participants from diverse backgrounds. These factors resulted in documentation of institutional knowledge previously absent from the literature. Use of a qualitative approach limits our ability to generalize our findings to all EDC experts and all EDCs. However, the diverse experiences of our participants, the high degree of agreement in their answers and the detail with which they shared their knowledge has generated rich and detailed insights that can inform future research. This study only included U.S.-based participants, but these findings provide a starting point for future regional and comparative efforts.
Much future work is now necessary to prioritize and then explore the individual and cumulative effects of these factors. The specific type of effect, the onset, and the rate of impact needs to be determined for each factor. Where possible, tools should be developed to predict the effects of these factors before deployment and to identify their effects when they present during the deployment. Finally, performance should be supported by developing and implementing mitigations so the EDC team can do their lifesaving work with as little performance degradation as possible.

5. Conclusions

While the EDC team is capable of effective operational performance, the effectiveness of that team is under constant assault by a variety of external and internal factors. Expert EDC practitioners (handlers, trainers, and leaders) possess hard-earned tacit and explicit institutional knowledge critical to understanding these factors. The factors an EDC experiences differ according to their utilization, but many of the factors they will experience are known before the search commences. These elements must be adequately prepared for to ensure a sufficient level of operational performance is maintained. The factors revealed by these EDC practitioners should be incorporated into the selection, training, assessment, and utilization of EDCs. Future research can further illuminate individual factors and help develop mitigating strategies.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/ani11071978/s1, Interview Guide.

Author Contributions

Conceptualization, B.D.F. and C.M.O.; methodology, B.D.F., C.M.O. and J.E.S.; formal analysis, B.D.F.; writing—original draft preparation, B.D.F.; writing—review and editing, C.M.O. and J.E.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Ethical review and approval were waived for this study, due to this study not meeting the federal regulatory definitions of human research.

Data Availability Statement

The raw data generated and analyzed during this study are not publicly available due to the sensitive nature of the data and ethics restrictions on data sharing. Respondents did not consent to have their data publicly shared.

Conflicts of Interest

The views and information presented are those of the author (B.F.) and do not represent the official position of the U.S. Army Medical Center of Excellence, the U.S. Army Training and Doctrine Command, or the Department of Army, Department of Defense, or U.S. Government. The authors declare no other conflict of interest.

References

  1. Penn-Barwell, J.G.; Bennett, P.M.; Kay, A.; Sargeant, I.D. Severe Lower Extremity Combat Trauma (SeLECT) Study Group. Acute bilateral leg amputation following combat injury in UK servicemen. Injury 2014, 45, 1105–1110. [Google Scholar] [CrossRef]
  2. Barzilai, L.; Harats, M.; Wiser, I.; Weissman, O.; Domniz, N.; Glassberg, E.; Stavrou, D.; Zilinsky, I.; Winkler, E.; Hiak, J. Characteristics of Improvised Explosive Device Trauma Casualties in the Gaza Strip and Other Combat Regions: The Israeli Experience. Wounds 2015, 27, 209–214. [Google Scholar] [PubMed]
  3. Ferreri, T.G.; Weir, A.J. EMS Improvised Explosive Devices and Terrorist Activity; StatPearls Publishing: Treasure Island, FL, USA, 2020. [Google Scholar]
  4. Harper, R.J.; Almirall, J.R.; Furton, K.G. Identification of dominant odor chemicals emanating from explosives for use in developing optimal training aid combinations and mimics for canine detection. Talanta 2005, 67, 313–327. [Google Scholar] [CrossRef]
  5. Furton, K.G.; Myers, L.J. The scientific foundation and efficacy of the use of canines as chemical detectors for explosives. Talanta 2001, 54, 487–500. [Google Scholar] [CrossRef]
  6. Farr, B.F.; Otto, C.M.; Szymczak, J.E. Expert Perspectives on the Performance of Explosive Detection Canines: Operational Requirements. Animals 2021, 11, 1976. [Google Scholar] [CrossRef]
  7. Gazit, I.; Terkel, J. Explosives detection by sniffer dogs following strenuous physical activity. Appl. Anim. Behav. Sci. 2003, 149–161. [Google Scholar] [CrossRef]
  8. Hayes, J.E.; McGreevy, P.D.; Forbes, S.L.; Laing, G.; Stuetz, R.M. Critical review of dog detection and the influences of physiology, training, and analytical methodologies. Talanta 2018, 185, 499–512. [Google Scholar] [CrossRef]
  9. Lazarowski, L.; Waggoner, L.P.; Krichbaum, S.; Singletary, M.; Haney, P.S.; Rogers, B.; Angle, C. Selecting Dogs for Explosives Detection: Behavioral Characteristics. Front. Vet. Sci. 2020, 7, 597. [Google Scholar] [CrossRef] [PubMed]
  10. Johnen, D.; Heuwieser, W.; Fischer-Tenhagen, C. An approach to identify bias in scent detection dog testing. Appl. Anim. Behav. Sci. 2017, 1–12. [Google Scholar] [CrossRef]
  11. Swap, W.C.; Leonard, D.A.; Shields, M.; Abrams, L. Using Mentoring and Storytelling to Transfer Knowledge in the Workplace. J. Manag. Inf. Syst. 2011, 18, 137–158. [Google Scholar] [CrossRef]
  12. Wasonga, T.A.; Murphy, J.F. Learning from tacit knowledge: The impact of the internship. Int. J. Educ. Manag. 2006, 20, 153–163. [Google Scholar] [CrossRef]
  13. Russano, M.B.; Narchet, F.M.; Kleinman, S.M.; Meissner, C.A. Structured Interviews of Experienced HUMINT Interrogators. Appl. Cogn. Psychol. 2014, 28, 847–859. [Google Scholar] [CrossRef]
  14. Farrar, N.; Trorey, G. Maxims, tacit knowledge and learning: Developing expertise in dry stone walling. J. Vocat. Educ. Train. 2008, 60, 35–48. [Google Scholar] [CrossRef]
  15. Obama, B.B. Executive Order 13526: Classified National Security Information Memorandum; Office of the Press Secretary: White House. 2009. Available online: https://www.archives.gov/isoo/policy-documents/cnsi-eo.html?_ga=2.35794016.1133502615.1620783446-1620139500.1615685658 (accessed on 11 May 2021).
  16. Qualitative Data Analysis Software. Available online: https://www.qsrinternational.com/nvivo-qualitative-data-analysis-software/home (accessed on 4 March 2021).
  17. Deterding, N.M.; Waters, M.C. Flexible coding of in-depth interviews: A twenty-first-century approach. Sociol. Methods Res. 2021, 50, 708–739. [Google Scholar] [CrossRef]
  18. Mitchell, L.; Flin, R.; Yule, S.; Mitchell, J.; Coutts, K.; Youngson, G. Thinking ahead of the surgeon. An interview study to identify scrub nurses’ non-technical skills. Int. J. Nurs. Stud. 2011, 48, 818–828. [Google Scholar] [CrossRef]
  19. Porritt, F.; Shapiro, M.; Waggoner, P.; Mitchell, E.; Thomson, T.; Nicklin, S.; Kacelnik, A. Performance decline by search dogs in repetitive tasks, and mitigation strategies. Appl. Anim. Behav. Sci. 2015, 166, 112–122. [Google Scholar] [CrossRef] [Green Version]
  20. Gazit, I.; Goldblatt, A.; Terkel, J. The role of context specificity in learning: The effects of training context on explosives detection in dogs. Anim. Cogn. 2005, 8, 143–150. [Google Scholar] [CrossRef]
  21. Rutter, N.J.; Howell, T.J.; Stukas, A.A.; Pascoe, J.H.; Bennett, P.C. Diving in Nose First: The Influence of Unfamiliar Search Scale and Environmental Context on the Search Performance of Volunteer Conservation Detection Dog–Handler Teams. Animals 2021, 11, 1177. [Google Scholar] [CrossRef]
  22. Snigdha, S.; Christie, L.-A.; De Rivera, C.; Araujo, J.A.; Milgram, N.W.; Cotman, C.W. Age and distraction are determinants of performance on a novel visual search task in aged Beagle dogs. Age 2012, 34, 67–73. [Google Scholar] [CrossRef] [Green Version]
  23. Lopedote, M.; Valentini, S.; Musella, V.; Vilar, J.M.; Spinella, G. Changes in Pulse Rate, Respiratory Rate and Rectal Temperature in Working Dogs before and after Three Different Field Trials. Animals 2020, 10, 733. [Google Scholar] [CrossRef] [Green Version]
  24. Baker, J.; DeChant, M.; Jenkins, E.; Moore, G.; Kelsey, K.; Perry, E. Body Temperature Responses During Phases of Work in Human Remains Detection Dogs Undergoing a Simulated Deployment. Animals 2020, 10, 673. [Google Scholar] [CrossRef]
  25. Osterkamp, T. Detector Dogs and Scent Movement: How Weather, Terrain, and Vegetation Influence Search Strategies; CRC Press: Boca Raton, FL, USA, 2020. [Google Scholar]
  26. Niedermeyer, G.M.; Hare, E.; Brunker, L.K.; Berk, R.A.; Kelsey, K.M.; Darling, T.A.; Nord, J.L.; Schmidt, K.K.; Otto, C.M. A Randomized Cross-Over Field Study of Pre-Hydration Strategies in Dogs Tracking in Hot Environments. Front. Vet. Sci. 2020, 7, 292. [Google Scholar] [CrossRef]
  27. Zanghi, B.M.; Robbins, P.J.; Ramos, M.T.; Otto, C.M. Working Dogs Drinking a Nutrient-Enriched Water Maintain Cooler Body Temperature and Improved Pulse Rate Recovery After Exercise. Front. Vet. Sci. 2018, 5, 202. [Google Scholar] [CrossRef]
  28. Diverio, S.; Menchetti, L.; Riggio, G.; Azzari, C.; Iaboni, M.; Zasso, R.; Di Mari, W.; Santoro, M.M. Dogs’ coping styles and dog-handler relationships influence avalanche search team performance. Appl. Anim. Behav. Sci. 2017, 67–77. [Google Scholar] [CrossRef]
  29. Haverbeke, A.; Laporte, B.; Depiereux, E.; Giffroy, J.-M.; Diederich, C. Training methods of military dog handlers and their effects on the team’s performances. Appl. Anim. Behav. Sci. 2008, 110–122. [Google Scholar] [CrossRef]
  30. Lasseter, A.E.; Jacobi, K.P.; Farley, R.; Hensel, L. Cadaver dog and handler team capabilities in the recovery of buried human remains in the southeastern United States. J. Forensic. Sci. 2003, 48, 617–621. [Google Scholar] [CrossRef]
  31. Morisaki, A.; Takaoka, A.; Fujita, K. Are dogs sensitive to the emotional state of humans? J. Vet. Behav. 2009, 4, 49. [Google Scholar] [CrossRef]
  32. Lit, L.; Schweitzer, J.B.; Oberbauer, A.M. Handler beliefs affect scent detection dog outcomes. Anim. Cogn. 2011, 14, 387–394. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Schwab, C.; Huber, L. Obey or not obey? Dogs (Canis familiaris) behave differently in response to attentional states of their owners. J. Comp. Psychol. 2006, 120, 169–175. [Google Scholar] [CrossRef]
  34. Horn, L.; Huber, L.; Range, F. The importance of the secure base effect for domestic dogs-evidence from a manipulative problem-solving task. PLoS ONE 2013, 8, e65296. [Google Scholar]
  35. Lazarowski, L.; Rogers, B.; Krichbaum, S.; Haney, P.; Smith, J.G.; Waggoner, P. Validation of a Behavior Test for Predicting Puppies’ Suitability as Detection Dogs. Animals 2021, 11, 993. [Google Scholar] [CrossRef] [PubMed]
  36. Salassa, J.R.; Zapala, D.A. Love and fear of heights: The pathophysiology and psychology of height inbalance. Wilderness Env. Med. 2009, 20, 378–382. [Google Scholar] [CrossRef] [Green Version]
  37. Baumann, T.K.; Burchiel, K.J.; Ingram, S.L.; Martenson, M.E. Responses of adult human dorsal root ganglion neurons in culture to capsaicin and low pH. Pain 1996, 31–38. [Google Scholar] [CrossRef]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Article Metrics

Citations

Article Access Statistics

Multiple requests from the same IP address are counted as one view.