Masterarbeit, 2017
142 Seiten, Note: 1,5
This master thesis examines human error in socio-technical systems (STS) by exploring the influence and causality of human factors on dynamic decision-making. The study aims to identify specific areas within the STS framework that contribute to errors and to propose solutions for optimizing performance.
This research focuses on the intersection of socio-technical systems, human factors, dynamic decision-making, situation awareness, automation, usability, and the SHEL-Model. The study investigates the causes and consequences of human error in complex systems and explores practical solutions to optimize performance and reduce failures.
The SHEL-Model describes the interaction between Software, Hardware, Environment, and Liveware (humans) within socio-technical systems.
SA involves the perception, comprehension, and projection of environmental elements, which are crucial for making accurate decisions in dynamic systems.
Errors are often caused by poor interfaces between humans and software, high cognitive workload, or environmental stressors that degrade situation awareness.
Critical incidents are specific events where human behavior led to a significant outcome (positive or negative), used to identify systemic weaknesses.
By improving the Liveware-Software interface, ensuring intuitive usability, and providing better information flow between departments.
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