Aspects Of Real World Research Articles

Representing and enacting movement: The body as an instructional resource in a simulator-based environment

Simulators are used to practice in a safe setting before training in a safety-critical environment. Since the nature of situations encountered in high-risk domains is complex and dynamic, it is considered important for the simulation to resemble conditions of real world tasks. For this reason, simulation-based training is often discussed in terms of realism in relation to real world work practices. However, regardless of the realism of the simulator, there are always glitches in the perception of the simulation as a realistic work setting. In this study video-recorded data is used to explore these glitches between a simulation and the real world. The analysis is focused on maritime instructors’ use of body and talk to represent aspects of the real world missing in high-fidelity simulators. Moreover, the study explores the role of these representations in developing the students’ understanding of the ship’s movements in manoeuvring also in a simulator environment. Results show that instructions given in the simulator have the potential to facilitate students’ learning of the ship’s movements by using the body as an instructional resource. In the study, a combination of bodily conduct and instructive talk that are coupled towards the simulator, as well as aspects of an imagined real world, is used to address glitches in the simulator. The results contribute to a growing corpus of research, which show that realism in simulator-based training is an instructional achievement rather than a matter of technical fidelity of the simulator.

On the hidden hazards of adaptive behavior

Abstract Adaptive behavior has been observed in almost all aspects of real-world. One of the main advantages of acting adaptively is its stabilizing effect on dynamic equilibrium, associated with which are three favorable features: (a) non-destabilizing characteristics, (b) low-speed effectiveness and (c) the convexity of the stabilization regime in terms of the adaptive parameter. It is shown either in theory or by counter-examples that these advantages may not be preserved if the adaptive mechanism is applied to multi-dimensional processes. The necessary and sufficient conditions for the relevant phenomena are provided for two-dimensional dynamic processes with application to duopolistic dynamics. Our findings not only help to clarify hidden misconceptions and prevent potential abuse of adaptive mechanisms, but also illustrate the possible pitfalls arising from generalizing well-known characteristics of low dimensional and/or homogeneous agent models to high-dimensional and heterogenous agent models.