Motivation and confidence in Human-Machine Interaction when working with individually configurable information systems for process monitoring

In modern industrial environments, particularly in the process monitoring of die casting machines, effective human-machine interaction (HMI) is critical to ensure safety, efficiency and productivity. This thesis investigates how an optimized dashboard design can increase user confidence, motivation and usability, with a focus on improving information guidance and customizability. The DG Assist project, which aims to integrate an innovative assistance system for die casting machines in Austrian foundries, is investigating how interactive features support digital transformation in the industry.
Using an iterative design process, a prototype dashboard was developed with features such as a scroll indicator and a notification filter to improve process monitoring. Two user studies were conducted: a quantitative evaluation with non-experts to assess task performance, cognitive load and user satisfaction, and a qualitative evaluation with industry experts to examine customizability, interactivity and workflow efficiency.
The results showed that features such as the scroll display and notification filter
improved usability and reduced frustration among non-experts, although no significant impact on task performance was observed. Experts appreciated the dashboard’s ability to streamline workflows through centralized information and reduced manual effort, but emphasized the need for more flexible customization options.
The results highlight the importance of striking a balance between standardization for novices and flexibility for experts, and underscore the importance of user-specific interactive features for efficient HMI systems. Future iterations should focus on expanding customization options and refining interactive elements to meet the diverse needs of users in complex industrial environments.