Abstract Previous research has highlighted benefits of body-worn video (BWV) to support the work of police officers. The daily demands of policing require officers to make highly pressurized decisions (with associated rapid action) in unpredictable changing environments. It is important that new officers learn techniques of decision-making in a safe and controlled way, which minimizes the risk and harm to all parties while at the same time facilitating effective learning. While the benefits of experiential and immersive learning characterized by active participation have long been used in related professional disciplines, the application to police education has been under-explored. BWV can be used to identify decision-making cues from the environment and nurture pattern recognition, essential to the development of mental models within the officer’s decision-making process. The article will therefore explore the application of BWV in the context of experiential immersive learning to accelerate police officers’ decision-making. Introduction Since 2012 there has been a surge of interest into the use and application of body-worn video (BWV) cameras in the context of modern policing (Lum et al., 2015). The introduction of such sophisticated technological advancements combined with extensive media interest (Ariel et al., 2015) has therefore intensified the deliberations surrounding BWV and the role they can play in influencing the public perception of the police and other emergency services (Culhane et al., 2016; Masonadvisory, 2015). According to Custers and Vergouw (2015), there is very little robust evidence regarding the effectiveness of using technologies in policing; as very few evaluative studies are being embarked on. However, body-worn cameras are associated with ‘instruments for accountability and an effective way of reducing violence, discrimination or corruption’ (Coudert et al., 2015, p. 749). While some authors highlight the potential of body-worn cameras to reduce the use of force and limit abuse (Ariel et al., 2015), reduce the numbers of stop and search and make subsequent arrests (Ready and Young, 2015), and may result in a greater willingness among the public to report crime (Ariel, 2016) through a range of studies all conducted in the USA, other writers (Grossmith et al., 2015) found that compliance with activating body-worn cameras by officers was relatively poor, and was associated with increased likelihood (Grossmith et al., 2015) of officers to arrest; and seemingly no impact in terms of increased incidence of resisting arrest (Katz et al., 2015). Furthermore, Rieken (2013) asserts that officers may lose the discretion that comes as part of interpreting a situation resulting in mechanistic performance. While these studies are important, education and training of officer recruits is not the main aim of this body of work indicating the need for further focused research. To date the relevance and impact of BWV has not been fully considered and realized within the police training environment. However, experience from members of the research team recognizes that certain aspects of synthetically created environments have been in existence for some time and have been successfully used in other contexts. For example, HYDRA suites for Senior Investigating Officers training and Simunition simulators are used predominantly with firearms training. Although these environments are valuable, they are designed around the creation of simulated environments and they do not have the interactive elements of the artificial intelligent platforms. Research on integrating BWV has only been tentatively explored with two RCT’s (Grossmith et al., 2015; Owens et al., 2015) based in the UK, highlighting some potential for continuing professional development when officers have access to BWV footage. Within these two trials the pedagogical underpinning of the mechanism by which such development takes place is sketchy. Currently within police training, the emphasis of the use of BWV has focused on the capture and presentation of evidence in court cases. While the emphasis of discussions surrounding BWV has focused on increasing the accountability of officers in response to meeting operational demands, other perceived benefits have received less attention. It has been recognized that BWV can provide the additional operational benefits (Grossmith et al., 2015) and facilitate the gathering of evidence through the automated recording of incidences that officers attend; resulting in a reduction of police use of force (Ariel et al., 2015). In a guidance document, Goodall (2007) suggests that in some cases the footage garnered through body-worn cameras can facilitate the support of reluctant witnesses in domestic abuse cases. Although the complexity of integrating BWV into the strategic and organizational structure of police forces is multifaceted and still very much in its infancy, limited attention has been directed towards the benefit of using BWV in a training environment with the specific aim of helping to accelerate the decision-making capabilities of police officers. White (2014) points out that examples of body-worn cameras in providing opportunities for police training remain largely anecdotal and untested. Although, Goodall (2007) provides some advice outlining the training that officers require regarding technical and practical aspects of using the equipment, he does not go on to consider how body-worn camera footage could be used to enhance officer performance, suggesting that there may be a subconscious improvement in officer awareness when they view their own practice (Goodall, 2007). The capturing of officers decision-making in training situations from the first person’s perspective, provides a unique opportunity for officers to engage with experiential learning in a safe and controlled environment. This article explores the integration of BWV cameras into police training environments to accelerate the development of naturalistic decision-making skills in officers. The article therefore begins by presenting an overview of naturalistic decision-making and the challenges faced by officers as they undertake their role in an unpredictable, highly pressurized environment which is continually changing. For the purpose of this article, naturalistic decision-making is the term used to outline the investigation of experts in dynamic environments which are uncertain, and are continually changing (Klein, 2008). Such environments are complex and are characterized as containing ill-structured problems; shifting or competing goals; multiple event-feedback loops; time constraints; high stakes; and multiple players, organizational norms and goals that must be balanced against the decision-maker’s personal choice (Richards et al., 2009). Such characteristics typify the challenging environment of modern-day policing. The article then explores how BWV can be integrated into the training environment of officers, whereby key models and other mechanisms used to support police decision-making (College of Policing, National Decision Making Model, 2013 and THRIVE) can be embedded into a naturalistic decision-making framework to accelerate the development of decision-making skills in officers and new recruits. The article will then briefly explore how BWV can be combined with other technological advancements (oculus rift, virtual dome environments, etc) to create an active experiential immersive learning environment, enabling officers to develop associations between cognitive decision-making skills and rapid physical actions in a safe and harm-free setting. It is envisaged the article will open discussion as to how policing practitioners and researchers can design safe and controlled training environments which maximize the transfer of learning to real-life situations. Naturalistic decision-making skills and the police officer This commentary article proposes that the nature of decision-making performed by police officers lends itself to the Naturalistic Decision Making paradigm, where decisions are undertaken in highly pressurized, complex, and unpredictable circumstances, where time is a key determinant (Klein, 2008). For officers, such environments also include the added complexity of involving multiple individuals. Decision-making processes in such dynamic and continually changing environments require the integration of perceptual skills and the considerations of situational factors (Richards et al., 2016). The design and development of training environments therefore needs to include the development of cue-driven perceptual skills relating to the real-world context in which the officers may find themselves. Developing the perceptual cues of officers in isolation to the situation could result in the incorrect decision being made when training is transferred to real-world settings. Research from several domains, sport being one, has enhanced our understanding of decision-making processes in highly pressurized situations (Starkes and Ericson, 2003; Williams, 2009; cf. Bar-Eli et al., 2011; Richards et al., 2012). Richards et al. (2016) proposed two interconnected models within one framework which addresses the development of decision-making skills in highly dynamic and pressurized environments. Although originally designed for the development of decision-making skills in elite sport the framework is being explored in the context of developing decision-making skills in police recruits on the Isle of Man. Model 1 in the empirically tested framework (see Richards et al., 2016 for review) outlines how important information relevant to real-world contexts can be pedagogically layered. This first model integrates the individual’s knowledge, situational factors, and the context of the setting in which the individual is making the decision. The second part of the framework illustrates how integrating reflective (slow deliberation) training environments with scenario-based settings (Richards et al., 2012) can result in the facilitation of accelerated decision-making skills, through the process of layering the information. There has been a considerable body of research illustrating that slow deliberate learning which occurs in an experiential scenario-based video environment can accelerate the decision-making skills in highly pressurized naturalistic field settings (Richards et al., 2009; 2012; Merola and Richards, 2010; Bates and Richards, 2011; Richards et al., 2015). The slow deliberate video-based learning environment empowers individuals to construct specific mental models in the context of their own performance. Within the mechanism advocated here, the beginner or less experienced recruit can learn from and have access to the mental model of the more experienced officer as they both watch footage of a situation together. Through the observation of video recorded from BWV officers (individual officers or a specialist team of officers), it is proposed that officers can engage in deliberate, structured discussions. Such engagement empowers the officers (individually or collectively as a team) to identify key features and important aspects of the clip, which results in the formulation of individual or shared mental models (Richards et al., 2012; 2016). Westbrook (2006) highlighted that mental models are only valuable to the individuals who construct them, indicating that everyone is required to construct their own mental model. Focused discussion between individuals can therefore make mental models accessible resulting in more effective engagement when similar situations arise in the future (cf. Mascarenhas et al., 2005). The connection between the empowered slow deliberate learning environment and the applied real-world context (where decisions are made in real-life situations) is evident in the model through an interacting pair of feedforward and feedback mechanisms (Richards et al., 2016). Feedback discussion features aspects of what was completed well, whereas feedforward discussions focus on what needs to be incorporated into future actions if a similar situation arises. The authors of this article therefore proposed that footage captured from BWV could be integrated within the decision framework proposed by Richards et al. (2016) enabling training officers to apply specific police decision-making models (THRIVE and NDM) to enhance the decision-making skills of officers when on patrol. Developing a video-based learning environment to facilitate decision-making skills in police officers Effective teaching should enable students to assimilate new knowledge into existing cognitive structures (Andrews and Roberts, 2003). Simulated or immersive learning environments enable students to do so through active participation. Such simulated immersive learning environments are being used in a range of associated professional disciplines such as medical and nurse education to enable students to observe, rehearse, and practice in an approximation of the real world. Through immersion in scenario-based learning encounters, students are enabled to draw on all of their senses to facilitate decision-making in real time (Roberts and Roberts, 2014). Typically, simulation features active participation by the learner followed by structured debriefing with an expert or skilled facilitator where meaning and sense-making can be achieved. The process of sense-making facilitates the officer moving beyond the identification and comprehension of environmental cues which are being discussed and the trainee officer is encouraged to frame or comprehend the cue in relation to the situation. Sense-making therefore would facilitate the trainee officer establishing connections and associations between environmental cues. Such an empowered, slow, deliberate process of sense-making results in the development of the individual’s own mental model or internalized plan (Richards et al., 2012), which in turn can be used to inform and shape actions in future situations (Bates and Richards, 2011). While active participation in a learning environment is important, there is a growing recognition that individuals can also learn vicariously through the experiences of others; being able to listen to experts as they discuss a new topic, enables students to learn through such active discussion (Roberts, 2010) (although it is recognized that this is often dependent on the skills of the teacher in facilitating learning). Utilizing BWV footage captured either through everyday work or through judiciously selected and recreated simulated scenarios ensures that the stimulus for learning is rooted in the real world of policing, where the knowledge on which professionals draw is broad, deep, and multi-faceted; moreover, the problems which professionals face are not straightforward, rather they are complex and messy (Schön, 1987). We postulate that as the experienced officer and the beginner watch the BWV footage together, they can focus their discussion on the environmental and embodied cues (data points) that the expert or experienced officer has identified to frame (or contextualize) the situation. As the discussion unfolds, the beginner is given access to the mental model of the experienced officer as their craft knowledge is shared. This craft knowledge can then be used to inform future action of the novice officer, when they are confronted with a similar real-world situation. It is proposed that the integration of BWV footage into learning environments combined with engagement in structured conversations (empowered slow deliberate learning) between an expert or experienced officer and a less experienced one, or those at the beginning of their police careers could accelerate decision-making skills. We believe there is a potential that real-world police decision-making can be accelerated and enhanced through such approaches. Furthermore, the initial work being undertaken in this field of inquiry warrants closer attention. Conclusion and moving to the next step In conclusion, BWV footage could be integrated into simulated training environments which are specifically designed to accelerate the decision-making skills of police officers. The integration of structured discussions between expert or experienced officers and those at the beginning of their careers facilitates a slow, deliberate empowered learning environment that creates the opportunity for officers to explore highly pressurized situations but in a controlled and risk-free setting. The structuring of the video-based learning environment would empower the officers to develop effective mental models of decision-making which relate to a specific policing context (e.g. drunk and disorderly). Integrating BWV into a simulated and/or immersive learning environment facilitates officers being able to identify and prioritize environmental cues and contextualize (frame) this visual information in context of the real-life situations which they may find themselves. The challenge for policing practitioners and researchers is therefore to integrate emerging technology into specifically designed and constructed training environments, which are free from harm, maximize, and accelerate decision-making skills in officers, but which are economically viable. There is potential to use a range of emerging technology in conjunction with BWV footage to create such a learning context. Eye tracking technology would generate an understanding of the search patterns or ability to ‘read the scene’ of expert officers when they are attending an incident (scenarios created in a training context). Such information could be useful in providing a framework for understanding how expert officers think. The use of BWV could also be integrated with single-user digital technology platforms such as Oculus Rift (a head-mounted display that exposes its wearer to a bespoke interactive 360° immersive environment, deployed using virtual reality) providing the benefits of learning in a harm-free environment; and which enable the learner to repeatedly encounter training situations in order to refine their response. Finally, the construction of immersive learning environments, such as 3D virtual domes (an enclosed 360° interactive environment where a range of environments can be projected using conventional game development techniques to produce 3D digital content) (Roberts and Roberts, 2014) could be used to facilitate the development and collaboration of team decision-making skills between officers, as multiple individuals can engage in scenario-based training collectively in a risk-free training context. It is hoped that this article may open discussion as to how BWV can be integrated with video-based/immersive learning environments, whereby empowering officers to engage in slow, deliberate learning processes can accelerate the development of decision-making skills which are transferable to real-life situations. References Andrews M., Roberts D. ( 2003). ‘ Supporting Student Nurses Learning in and Through Clinical Practice: The Role of the Clinical Guide.’ Nurse Education Today 23: 471– 481. Google Scholar CrossRef Search ADS PubMed Ariel B. ( 2016). ‘ Increasing Cooperation with the Police Using Body Worn Cameras.’ Police Quarterly 19( 3): 326– 362. Google Scholar CrossRef Search ADS Ariel B., Farrar W., Sutherland A. ( 2015). ‘ The Effects of Police Body-Worn Cameras on use of Force and Citizens’ Complaints against the Police: A Randomized Controlled Trial.’ Journal of Qualitative Criminology 31( 3): 509– 535. Google Scholar CrossRef Search ADS Bar-Eli M., Plessner H., Raab M. ( 2011). Judgment Decision Making and Success in Sport . West Sussex, UK: John Wiley & Sons, Ltd. Google Scholar CrossRef Search ADS Bates B., Richards P. ( 2011). Developing Team Decision Making Capabilities in a Professional Football Team. Paper presented at British Association of Sport and Exercise Sciences National Student Conference, Chester. College of Policing ( 2013). National Decision Model. https://www.app.college.police.uk/app-content/national-decision-model/the-national-deicison-model/ (accessed 1 September 2016). Coudert F., Butin D., Le Métayer D. ( 2015). ‘ Body-worn Cameras for Police Accountability: Opportunities and Risks.’ Computer Law & Security Review 31: 749– 762. Google Scholar CrossRef Search ADS Culhane S. E., Bouman J. H., Schweitzer K. ( 2016). ‘ Public Perception of the Justifiability of Police Shootings: The Role of Body Cameras in a Pre-and Post-Ferguson Experiment.’ Police Quarterly 19( 3): 251– 274. Google Scholar CrossRef Search ADS Custers B., Vergouw B. ( 2015). ‘ Promising Policing Technologies: Experiences, Obstacles and Police Needs Regarding Law Enforcement Technologies.’ Computer Law & Security Review 31: 518– 526. Google Scholar CrossRef Search ADS Goodall M. ( 2007). Guidance for the Police Use of Body-worn Video Devices. Police and Crime Standards Directorate. Home Office. ISBN: 978-1-84726-344-5. Grossmith L., Owens C., Finn W., Mann D., Davies T., Baika L. ( 2015). Police, Camera, Evidence: London’s Cluster Randomised Controlled Trial of Body Worn Video. http://whatworks.college.police.uk/Research/Documents/Police_Camera_Evidence.pdf (accessed 7 February 2017). Katz C. M., Kurtenbach M., Choate D. E., White M. D. ( 2015). Phoenix, Arizona, Smart Policing Initiative. Evaluating the Impact of Police Officer Body-Worn Cameras. http://www.smartpolicinginitiative.com/sites/all/files/Phoenix%20SPI%20Spotlight%20FINAL.pdf (accessed 28 November 2016). Klein G. ( 2008). ‘ Naturalistic Decision Making.’ Human Factors 50( 3): 456– 460. Google Scholar CrossRef Search ADS PubMed Lum C., Koper C. S., Merola L. M., Scherer A., Reioux A. ( 2015). Existing and Ongoing Body Worn Camera Research: Knowledge Gaps and Opportunities. http://cebcp.org/wp-content/technology/BodyWornCameraResearch.pdf (accessed 4 February 2017). Mascarenhas D. R. D., Collins D., Mortimer P., Morris R. L. ( 2005). ‘ Training Accurate and Coherent Decision-making in Rugby Union Referees.’ The Sport Psychologist 19: 131– 147. Google Scholar CrossRef Search ADS Masonadvisory ( 2015). Police, Camera, Action! Getting the Best from Body-Worn Video. White paper. https://www.bwvsg.com (accessed 19 October 2016). Merola T., Richards P. ( 2010). Developing Decision Making Skill in Youth Footballers. British Association of Sport and Exercise Sciences National Student Conference, Aberystwyth. Owens C., Mann D., Mckenna R. ( 2015). The Essex Body Worn Video Trial. The impact of Body Worn Video on criminal justice outcomes of domestic abuse incidents. College of Policing, UK. http://whatworks.college.police.uk/Research/Documents/BWV_Report.pdf (accessed 7 February 2017). Ready J. T., Young J. T. N. ( 2015). ‘ The Impact of On-officer Video Cameras on Police–citizen Contacts: Findings from a Controlled Experiment in Mesa, AZ.’ Journal of Experimental Criminology 11: 445– 458. Google Scholar CrossRef Search ADS Richards P., Mascarenhas D. R. D., Collins D. ( 2009). ‘ Implementing Reflective Practice Approaches with Elite Team Athletes: Parameters of Success.’ International Journal of Reflective Practice 10( 3): 353– 363. Google Scholar CrossRef Search ADS Richards P., Collins D., Mascarenhas D. R. D. ( 2012). ‘ Developing Rapid High-Pressure Team Decision-Making Skills. The Integration of Slow Deliberate Reflective Learning within the Competitive Performance Environment: A Case Study of Elite Netball.’ International Journal of Reflective Practice 1– 18. Richards P., Collins D., Mascarenhas D. R. D. ( 2016). ‘ Developing Team Decision Making: A Holistic Framework Integrating both On-Field and Off-Field Pedagogical Coaching Processes’. Sports Coach Review 1– 19. Doi: http://dx.doi.org/10.1080/21640629.2016.1200819. Richards P., Penrose S., Turner M. ( 2015). Developing Team Decision Making Capabilities in elite football Youth Academy Players. MMU CRiC International Coaching Conference, Crewe, UK. Rieken J. ( 2013). Making Situated Police Practice Visible: A Study Examining Professional Activity for the Maintenance of Social Control with Video Data from the Field. Ph.D. thesis, The London School of Economics and Political Science (LSE). Roberts D. ( 2010). ‘ Vicarious Learning: A Review of the Literature.’ Nurse Education in Practice 10( 1): 13– 16. Google Scholar CrossRef Search ADS PubMed Roberts D., Roberts N. J. ( 2014). ‘ Maximising Sensory Learning Through Immersive Education.’ Journal of Nursing Education and Practice 4( 10): 74– 79. Google Scholar CrossRef Search ADS Schön D. ( 1987). Educating the Reflective Practitioner . San Francisco: Jossey-Bass. Starkes J. L., Ericson K. A. ( 2003). Expert Performance in Sports: Advance Research on Sport Expertise . Champaign, IL: Human Kinetics. Westbrook L. ( 2006). ‘ Mental Models: A Theoretical Overview and Preliminary Study.’ Journal of Information Services 32: 563– 579. Office of Community Oriented Policing Services. Google Scholar CrossRef Search ADS White M. D. ( 2014). Police Officer Body-Worn Cameras: Assessing the Evidence . Washington, DC: Office of Community Oriented Policing Services. Williams A. M. ( 2009). Perceiving the Intentions of Others: How Do Skilled Performers Make Anticipation Judgments? In Raab M., Johnson J. G., Heekeren H. R. (eds), Progress in Brain Research . New York: Elsevier, pp. 73– 83. © The Author 2017. Published by Oxford University Press. All rights reserved. For permissions please e-mail: email@example.com
Policing: A Journal of Policy and Practice – Oxford University Press
Published: Mar 1, 2018
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