Purpose: We investigated the effects of threat and trait anxiety on state anxiety and how that affects police officers’ actions during an arrest. Most experiments on police performance under anxiety test the performance of one particular skill. Yet, police work often involves concerted use of a combination of skills. Methods: We created situations – with two different levels of threat – in which officers had to choose and initiate their actions to control and arrest a non-cooperative suspect. We examined whether threat, trait anxiety and state anxiety influenced decision-making (e.g., choosing the appropriate actions) and performance (e.g., quality of communication and the execution of skills). Results: Trait anxiety affected the level of state anxiety, but not any of the decision-making and performance variables. As for decision-making, results showed that only threat determined which action officers took to gain control over the suspect. As for performance, higher levels of state anxiety were accompanied by lower scores of overall performance, communication, proportionality of applied force and quality of skill execution. Conclusion: It is concluded that state anxiety not only impairs performance of single perceptual-motor tasks, but also relevant accompanying skills such as communicating and applying appropriate force. We argue that police training should focus on an integrated set of decision-making and perceptual-motor skills and not just on the performance of isolated motor skills.
This paper proposes and showcases a methodology to develop an observational behavior assessment instrument to assess psychological competencies of police officers. We outline a step-by-step methodology for police organizations to measure and evaluate behavior in a meaningful way to assess these competencies. We illustrate the proposed methodology with a practical example. We posit that direct behavioral observation can be key in measuring the expression of psychological competence in practice, and that psychological competence in practice is what police organizations should care about. We hope this paper offers police organizations a methodology to perform scientifically informed observational behavior assessment of their police officers’ psychological competencies and inspires additional research efforts into this important area.
MULTIFILE
The After-Action Review (AAR) in Virtual Reality (VR) training for police provides new opportunities to enhance learning. We investigated whether perspectives (bird’s eye & police officer, bird’s eye & suspect, bird’s eye) and line of fire displayed in the AAR impacted the officers’ learning efficacy. A 3 x 2 ANOVA revealed a significant main effect of AAR perspectives. Post hoc pairwise comparisons showed that using a bird’s eye view in combination with the suspect perspective elicits significantly greater learning efficacy compared to using a bird’s eye view alone. Using the line of fire feature did not influence learning efficacy. Our findings show that the use of the suspect perspective during the AAR in VR training can support the learning efficacy of police officers.Practitioner summary: VR systems possess After-Action Review tools that provide objective performance feedback. This study found that reviewing a VR police training scenario from the bird’s eye view in combination with the suspect perspective enhanced police officers’ learning efficacy. Designing and applying the After-Action Review effectively can improve learning efficacy in VR.
Every year the police are confronted with an ever increasing number of complex cases involving missing persons. About 100 people are reported missing every year in the Netherlands, of which, an unknown number become victims of crime, and presumed buried in clandestine graves. Similarly, according to NWVA, several dead animals are also often buried illegally in clandestine graves in farm lands, which may result in the spread of diseases that have significant consequences to other animals and humans in general. Forensic investigators from both the national police (NP) and NWVA are often confronted with a dilemma: speed versus carefulness and precision. However, the current forensic investigation process of identifying and localizing clandestine graves are often labor intensive, time consuming and employ classical techniques, such as walking sticks and dogs (Police), which are not effective. Therefore, there is an urgent request from the forensic investigators to develop a new method to detect and localize clandestine graves quickly, efficiently and effectively. In this project, together with practitioners, knowledge institutes, SMEs and Field labs, practical research will be carried out to devise a new forensic investigation process to identify clandestine graves using an autonomous Crime Scene Investigative (CSI) drone. The new work process will exploit the newly adopted EU-wide drone regulation that relaxes a number of previously imposed flight restrictions. Moreover, it will effectively optimize the available drone and perception technologies in order to achieve the desired functionality, performance and operational safety in detecting/localizing clandestine graves autonomously. The proposed method will be demonstrated and validated in practical operational environments. This project will also make a demonstrable contribution to the renewal of higher professional education. The police and NVWA will be equipped with operating procedures, legislative knowledge, skills and technological expertise needed to effectively and efficiently performed their forensic investigations.
Especially during the summer period, a significant amount of the population experience a health issues caused by the stinging hair of oak-caterpillars. These health complaints are often caused by the skin irritation and allergic reaction when the stinging hair comes in contact with the skin. Additional complaints include swelling and inflammation problems on eyes and throats. The health complaints range from simple itching to serious allergic reactions that can last weeks. Currently, the oak-caterpillars are removed using manual labor, which is labor intensive and time consuming. Cranes are often deployed to reach to various parts of a tree for inspection and combat, which is a slow and an expensive process. In general, since inspection of oak-caterpillars is done with bare eyes of the professionals and detection often occurs at a later stage, significant number of people are affected already. Therefore, a new effective combating methodology is needed. The main goal of this project is to conduct feasibility study of the applicability of semi-autonomous aerial robots (drones) for early stage detection and combat against oak-caterpillars. This innovative solution aspires to use smart aerial robots that employ AI-based techniques for early phase and real-time detection of oak-caterpillars. Once the oak-caterpillars are detected, a direct and selective combating resources will be applied. Within this project, the first proof-of-concepts will be developed. The results of this project will be used to expand the existing network and formulate a bigger project to address additional critical aspects in order to develop a complete oak-caterpillar combating drone. The project will be executed with Research Group of Mechatronics at Saxion, together with the participating innovative SMEs (DronExperts,Drone4Agro). The project will be facilitated by the Municipality of Enschede with respect to polices and the Space53 cluster for networking and testing in operational environments.
In het forensisch werkveld staan drie vragen centraal. Het gaat dan om “wie is het”, “wat is er gebeurd” en “wanneer is het gebeurd”. Alle informatie die bijdraagt aan het beantwoorden van deze vragen is waardevol in zaakonderzoeken. Vaak wordt er wel een biologisch spoor gevonden, maar is er geen “match” met de databank. In dit geval kan profileringsinformatie helpen bij het zoeken naar de juiste persoon. Met profilering wordt hier bedoeld een serie stoffen, ook markers genoemd, die informatie geven over de levensstijl van mensen. De levensstijl kan bestaan uit kenmerken, voeding, gewoonten en activiteiten. Een recent voorbeeld van een profileringsmethode is het analyseren van de buitenzijde van mobiele telefoons. Door het hanteren van de telefoon laten mensen zweet en stoffen achter die gekarakteriseerd kunnen worden. Het profiel van deze stoffen geeft een beschrijving van de levensstijl van de eigenaar. In veel zaken zijn er echter geen mobiele telefoon aanwezig, maar wel andere sporen zoals haar. Daarom is er behoefte aan een methode om haar te gebruiken voor profilering. Bovendien geeft haar een indicatie van tijd en gebeurtenissen uit het verleden omdat het langzaam groeit. In principe kan er dan informatie over de drie vragen (wie, wat, wanneer) verzameld worden. Haren worden op dit moment vooral gebruikt voor het meten van drugs, alcohol gebruik, cortisol en nicotine. Er is echter behoefte aan een breder palet van stoffen dat in één keer in haar kan worden gemeten. Het doel van dit onderzoek is daarom het ontwikkelen van een methode waarmee in één analysegang een profiel van circa 15 uiteenlopende markers kan worden gemeten.
