Putting it all together: improving display integration in ecological displays.

Area of Science:

• Human-Computer Interaction
• Industrial Systems Design
• Cognitive Engineering

Background:

• Scaling industrial systems presents challenges in integrating diverse visual information.
• Effective integration of information objects is crucial for operator performance in complex environments.

Purpose of the Study:

• To evaluate three integration approaches for ecological displays in large-scale industrial systems.
• To determine the impact of spatial and temporal proximity on fault detection and diagnosis.

Main Methods:

• Developed and evaluated three ecological display integration strategies (high-space/low-time, low-space/high-time, high-space/high-time) using an abstraction hierarchy analysis.
• Tested displays in a simulated industry-scale conventional power plant environment.
• Assessed performance during fault detection and diagnosis tasks.

Main Results:

• A high-space/low-time integration approach yielded the fastest fault detection times.
• The high-space/high-time integration strategy resulted in the most accurate and rapid fault diagnosis.
• Integration levels significantly impacted operator performance in identifying and resolving system faults.

Conclusions:

• Optimizing display integration is critical for enhancing operator efficiency in large-scale industrial control systems.
• Different integration strategies may be optimal for distinct phases of problem-solving, such as detection versus diagnosis.
• Findings have implications for designing user interfaces in domains like network management and process control.