Optimizing Human-Machine-Interface architectures is particularly crucial in highly automated production industries, such as bottling and packaging of beverages or food, as it can lead to faster machine operation and an overall improved user experience for both customers and employees. Navigation concepts are a critical component of HMIs as well, as they allow users, regardless of expertise, to interact with complex systems and find the information they need effectively and efficiently while providing a sense of guidance. Therefore, to identify and solve potential usability issues, human factors must be incorporated throughout the design process and usability evaluations can be conducted, to provide valuable insights into user behavior and preferences.
The aim of this study is the comparison of two Human-Machine-Interface navigation models in production industry, by measuring and comparing the efficiency and effectiveness during different points of the interaction within the scope of a usability evaluation.