Developing competencies for collaborative work settings in a virtual simulation laboratory - Training approach and performance measurement

In our paper we present first performance measurement results of a digital simulation laboratory, which is applied in the context of industrial front-end team training. The design of the simulation laboratory is oriented towards an Escape Room. First, we situate the presented approach within existing competency understandings and accompanying training approaches in the context of Industry 4.0 Performance measurement for front-end training has been a challenge in this context so far, since performance, unlike in the back-end, is not attributable to specific production results, but becomes visible on a superior process level. Building on the competency facets of complexity management, self-reflection, creative problem solving, and cooperation (Wilkens et al., 2017) as well as action implementation (Heyse & Erpenbeck, 2009), the performance measurement presented addresses the question which individual competencies have an impact on team performance in the simulation scenario. Preliminary results show that the individual competencies among team members have a lower impact on performance than moderating factors such as heterogeneity and cohesion within the team. In order to increase the performance of front-end teams, it therefore appears to be reasonable to focus more on developing team structures rather than only on individual competence development.

Towards a maturity model of human-centered AI – A reference for AI implementation at the workplace

In our paper we present first performance measurement results of a digital simulation laboratory, which is applied in the context of industrial front-end team training. The design of the simulation laboratory is oriented towards an Escape Room. First, we situate the presented approach within existing competency understandings and accompanying training approaches in the context of Industry 4.0 Performance measurement for front-end training has been a challenge in this context so far, since performance, unlike in the back-end, is not attributable to specific production results, but becomes visible on a superior process level. Building on the competency facets of complexity management, self-reflection, creative problem solving, and cooperation (Wilkens et al., 2017) as well as action implementation (Heyse & Erpenbeck, 2009), the performance measurement presented addresses the question which individual competencies have an impact on team performance in the simulation scenario. Preliminary results show that the individual competencies among team members have a lower impact on performance than moderating factors such as heterogeneity and cohesion within the team. In order to increase the performance of front-end teams, it therefore appears to be reasonable to focus more on developing team structures rather than only on individual competence development.

Remote robotic endovascular thrombectomy for acute ischaemic stroke

BackgroundIn acute ischaemic stroke, endovascular thrombectomy (ET) significantly reduces disability compared with thrombolytic therapy, but access to ET is currently limited. Leveraging telerobotic technology to disseminate neurosurgical expertise could increase access to ET. This proof-of-concept evaluation was performed to determine whether remote robotic ET (RRET), wherein an offsite neurosurgeon and an onsite interventional cardiologist collaboratively use telerobotics to perform ET, is technically feasible.MethodsAn ex vivo model of RRET was constructed by establishing a network connection between a robotic drive in a simulation laboratory and a robotic control unit 5 miles away. Using onsite assistance from an interventional cardiologist in the simulation laboratory, an offsite neurosurgeon used the robotic controls to attempt RRET on a fluid-filled silicone model of human vasculature containing simulated thrombus material in the left middle cerebral artery (MCA).ResultsFrom the offsite location 5 miles away, the neurosurgeon used the robotic system to successfully navigate a guidewire from the carotid artery to simulated thrombus in the MCA. Under the direction of the neurosurgeon, the onsite interventional cardiologist then successfully manually advanced an aspiration catheter over the guidewire to the thrombus, removed the guidewire and performed aspiration.ConclusionsIn this proof-of-concept evaluation, the technical feasibility of RRET was demonstrated in an ex vivo model and was collaboratively performed by an offsite neurosurgeon and an onsite interventional cardiologist. This report supports the design of future studies to determine if RRET could be used to increase access to ET for patients with acute ischaemic stroke.