Measuring human intuition, interaction, and improvements in design is key to understanding the human element when using and developing systems. Eye tracking helps us to see how the human is engaging with each system, machine and process.
Eye tracking is a scientific research methodology used to understand human cognitive abilities and behaviour as humans are interacting with systems, devices, vehicles, and objects or events in the surrounding environment.
The analysis of gaze patterns and pupil data in human-system interactions provides objective measurements and insights into visual attention and attentional allocation, cognitive load and engagement, judgment and decision making. This can inform better human-cantered design and ergonomics, and how to improve usability, efficiency, and safety.
Eye tracking methodology is also used for research purposes to understand, for example, the behaviour of engineers, programmers, or physicians while analysing technical systems and during problem solving.
There are three main areas of research studied under the Human Factors & Engineering category, using eye tracking to measure:
Decision Making
Eye tracking is applied to assess:
• Clinical decisions
• Medical simulation
• Traffic safety
in industries such as healthcare and transportation.
Design & Development
Eye tracking is applied to assess:
• Device usability
• Navigation / wayfinding
• Architecture
• Equipment design
in industries such as mechanical engineering, civil engineering, and computer engineering.
Cognition & Understanding
Eye tracking is applied to assess:
• Computer-Human Interaction
• Driver research
• Spatial cognition
• Signal processing
in industries such as mechanical engineering, civil engineering, and computer engineering.