Human factors and engineering

Human factors and engineering

Understanding how people engage with systems

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 humans are engaging with each system, machine and process.

Why use eye tracking?

Eye tracking is a scientific research methodology used to understand human cognitive abilities and behavior as humans are interacting with systems, devices, vehicles, and objects or events in the surrounding environment. Eye tracking methodology is also used for research purposes to understand, for example, the behavior of engineers, programmers, or physicians while analyzing technical systems and during problem solving.

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Improving transportation safety with eye tracking

In this webinar, our expert panel of researchers will share their latest research, experiences, and insights on using eye tracking to examine visual attention in traffic safety research, both in simulators and real-world studies.

Join us for an engaging and informative discussion on how eye tracking technology not only helps us understand driving behavior but can help revolutionize traffic safety in future.

Person driving a car wearing Tobii Pro Glasses 3

What you can measure with eye tracking

Our solutions capture and analyze human-system interactions to deliver objective measurements and behavioral insights for use in design and ergonomics, for example, as well as developing usability, efficiency, and safety features. Eye tracking data can be extrapolated into:

  • Visual attention

  • Attentional allocation

  • Cognitive load and engagement

  • Judgement

  • Decision making

Areas of human factors and engineering research

Medical training in healthcare

Decision making

Industries: Healthcare and transportation

Eye tracking is applied to assess:

  • Clinical decisions

  • Medical simulation

  • Traffic safety

Computer engineering

Design and development

Industries: Mechanical engineering, civil engineering, and computer engineering

Eye tracking is applied to assess:

  • Device usability

  • Navigation / wayfinding

  • Architecture

  • Equipment design

view from the cockpit of an airplane

Cognition and understanding

Industries: Aviation, automotive and space exploration

Eye tracking is applied to assess:

  • Human computer interaction

  • Driver research

  • Spatial cognition

  • Signal processing

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Designed for the real world, our third-generation wearable eye tracker allows you to conduct behavioral research in a wide range of settings.

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Screen-based eye tracker, capturing gaze data at speeds up to 250 Hz. This powerful research system supports from fixation to saccade-based research outside of the lab.

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A powerful screen-based eye tracker, capturing gaze data at 60 Hz. With this affordable system, anyone can easily enhance their research with data that illuminates human attention and intent.

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Tobii Pro Lab, our eye tracking software supporting screen-based and wearable eye trackers. Guides the researcher through the entire research workflow.

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This high-performance research system captures gaze data at speeds up to 1200 Hz. A screen-based eye tracker for extensive research from fixation-based studies to micro-saccades.

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New! The eye tracking starter kit

Kick-off your eye tracking research with our best-in-class hardware and software bundle.

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Human factors and engineering research

Unannounced Evacuation Experiment in a High-Rise Hotel Building with Evacuation Elevators: A Study of Evacuation Behaviour Using Eye-Tracking

Mossberg and colleagues (2021) used Tobii Pro Glasses to study evacuation behavior in a high-rise hotel building. The glasses were combined with Tobii Pro Lab to collect data on where participants are looking at to gain information before and during the evacuation. The study results showed that people fixate their gaze on the evacuation signage more often and longer when it is reinforced with a green flashing light.

Correlation Between Physiological and Performance-Based Metrics to Estimate Pilots' Cognitive Workload

Hebbar and colleagues (2021) combined Tobii Pro Glasses 2 and EEG recording to develop a non-invasive technique to estimate pilots’ cognitive workload. The researchers measured pupil size variation and gaze metrics as a proxy of mental workload during different levels of task difficulty and lighting conditions.

Analysis of Drivers’ Eye Movements on Roundabouts: A Driving Simulator Study

Azimian and colleagues (2021) combined Tobii Pro Glasses 2 and Tobi Pro Lab software to record drivers’ eye movements on roundabouts under distracted and non-distracted conditions. The study results showed that cell phone-induced distraction leads to less caution when approaching roundabouts, as indicated by drivers’ fixation duration decrease on the road, and an increase of the pupil size.

Enabling success

Tobii offers tailored support to address research needs throughout your journey with Tobii’s eye tracking.

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Tobii Funding support services

Tobii Funding support services help you improve your grant proposals for research that includes eye tracking in its methodology

Tobii Connect

Tobii Connect

Tobii Connect delivers product documentation, how-to guides, and answers to FAQs as well as access to software updates. Our customer care services help with any technical issues concerning Tobii products.

Tobii Academy

Tobii Academy

Tobii Academy our online learning platform, helping you ensure study success at every step of the way from study design to interpreting your eye tracking data.

Publications

Lee, A., Chung, H., Cho, Y., Kim, J. L., Choi, J., Lee, E., Kim, B., Cho, S.-J., & Kim, S. G. (2022). Identification of gaze pattern and blind spots by upper gastrointestinal endoscopy using an eye-tracking technique. Surgical Endoscopy, 36(4), 2574–2581.

Ghanbari, L., Wang, C., & Jeon, H. W. (2021). Industrial Energy Assessment Training Effectiveness Evaluation: An Eye-Tracking Study. Sensors, 21(5), 1584.

Fang, H., Xin, S., Pang, H., Xu, F., Gui, Y., Sun, Y., & Yang, N. (2021). Evaluating the effectiveness and efficiency of risk communication for maps depicting the hazard of COVID-19. Transactions in GIS: TG.

de Winter, J., Bazilinskyy, P., Wesdorp, D., de Vlam, V., Hopmans, B., Visscher, J., & Dodou, D. (2021). How do pedestrians distribute their visual attention when walking through a parking garage? An eye-tracking study. Ergonomics, 64(6), 793–805.

Aust, J., Mitrovic, A., & Pons, D. (2021). Assessment of the Effect of Cleanliness on the Visual Inspection of Aircraft Engine Blades: An Eye Tracking Study. Sensors, 21(18), 6135.