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Eye tracking helps research and innovation teams study visual behavior, eye movements and pupil response across medical, pharmaceutical and life sciences research. Use objective gaze data to evaluate prototypes, investigate workflows and explore questions related to cognition, perception, workload, and interaction.
Research can show whether someone completed a task, made an error, selected one option over another, or responded to a stimulus. It may not reveal what they looked at, how their eyes moved, how attention changed over time or what they never saw.
Eye tracking measures how participants visually explore devices, interfaces, workflows, images, stimuli, and environments. Depending on the study setup, it can also provide eye movement and pupil data that help researchers study cognition, perception, workload and physiological response.
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BenefitsExplore common applications of eye tracking in medical technology research.
Prototype and concept research
Compare how participants visually explore new device concepts, interfaces, workflows or interaction models.
Human-machine interaction
Understand how people interact with medical devices, displays, systems, software or connected technologies.
Pharmaceutical and clinical research
Collect gaze, eye movement and pupil data in controlled studies, clinical research or treatment-related research.
Neuroscience and vision science
Synchronize gaze data with physiological signals, behavioral observations, and performance measures to build a richer research picture.
Multimodal research
Combine gaze data with performance measures, physiological signals, video or behavioral observations.
Expert performance
Identify visual strategies that distinguish experienced professionals from less experienced users.
CompareEye tracking reveals the visual information participants accessed before and during an action, adding insight beyond outcomes, feedback and observed behavior.
Shows participant actions.
Collect user feedback and reported reasoning.
Tracks outcomes and task success.
Captures perceptions and opinions.
Measure differences across groups or conditions.
Records the task and surrounding context.
Shows what participants look at and for how long.
Reveals how participants explore stimuli, interfaces, images or environments.
Supports analysis of fixations, saccades and oculomotor behavior.
Adds data related to cognitive load, arousal or physiological response.
Measures attention to defined elements, regions or task components.
Connects eye tracking measures with task results, conditions or study variables.
Use case spotlightIn a pharmaceutical packaging line study, eye tracking was used to understand how operators visually inspected line-clearance areas where materials could become trapped and cause batch mix-ups.
The gaze data helped reveal whether operators looked at designated “hot zones,” how inspection behavior varied between individuals, and where process or training improvements could reduce the risk of missed materials.
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FeaturesUse findings to guide product development, usability work, clinical research or future studies.
Research question
Explore how gaze, eye movements or pupil response could help answer your study question.
Study design
Choose the eye tracking setup, stimuli, tasks and measures that fit your research goals.
Prototype and workflow research
Study how people visually explore devices, systems, workflows or healthcare environments.
Controlled studies
Collect objective data during screen-based tasks, image viewing, stimuli presentation or experimental protocols.
Multimodal analysis
Combine gaze, pupil or eye movement data with performance, physiological or behavioral measures.
Research into innovation
Use findings to guide product development, usability work, clinical research or future studies.
Our products:quality(50))
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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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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Our analytical software helps guide scientific and academic eye tracking research. Take control of your study and analyze the data in detail.
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A versatile wearable eye tracker suitable for UX, sports, consumer, and industrial environments. Designed to deliver reliable insights in dynamic, high-movement settings.
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Designed for the real world, our advanced wearable eye tracker allows you to conduct behavioral research in a wide range of settings.
Other solutions:quality(50))
Eye tracking helps healthcare simulation teams understand how learners direct their attention, recognize critical cues, and respond during realistic scenarios.
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Eye tracking helps digital health products, and UX teams evaluate information hierarchy, alerts, workflows and decision-support features by showing where users direct their visual attention before they act.
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Eye tracking adds objective visual attention data to usability and human factors studies, helping teams understand what intended users notice, overlook, search for or see too late when interacting with devices, interfaces and instructions.
Talk to Tobii about how eye tracking can support your medical technology research, prototype evaluation or innovation project.
customer stories & resources:quality(50))
A pharmaceutical company worked with Tobii Insight to conduct an eye tracking study on one of their packaging lines.
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A study from Japan, by N. Takahashi, had individuals with Parkinson's view images and recorded eye movements and brain activity to analyze the results.
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Karolinska Institute explored the possibility of using eye tracking as a prospective diagnostic tool for Parkinson’s disease, and their quest yielded exciting results.
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This learn article presents four ways eye tracking could aid early Alzheimer’s assessment.
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Learn how eye tracking has facilitated progress in virtual healthcare and continues to enhance innovations in medical assessment, treatment, and training.
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Researchers from the National University of Colombia (UNAL) analyzed eye movement in seven patients with Alzheimer's disease.
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Eye tracking has begun to enable a practical alternative, utilizing subtle changes in eye movements to detect cognitive decline when diagnosing Alzheimers.
Quick answersPractical guidance for R&D and innovation teams considering eye tracking.