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Unlocking human potential through eye tracking

Get real-time insights into cognitive states based on eye tracking data.

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How eye tracking enables cognitive insights

SOMA analyzes eye movements closely linked to cognitive functions such as attention, memory, and decision-making. Specific patterns, like saccades or fixations, can indicate how information is processed and which cognitive tasks are engaged.

Practical benefits of this technology

Discover how SOMA’s eye tracking analytics can transform your operations, enhancing safety, productivity, and user experience.

Enhance Safety

Monitor cognitive states in real-time to prevent fatigue-related accidents and ensure operational safety.

Reduce Training Cost

Optimize your training programs by leveraging real-time cognitive insights, enabling more focused, effective learning experiences.

Improve Productivity

Identify cognitive overload before it leads to errors, helping maintain focus and efficiency across tasks.

Unlock Human Potential

Empower your team, getting them to perform at their best while maintaining focus and resilience in high-demand environments.

Looking does NOT equal paying attention

“At SOMA we go beyond just where people look. Our advanced cognitive biomarkers reveal deep insights into cognitive processes, offering a clear picture of mental engagement.”

01

Individual Biomarker 1

Cognitive Load

Understanding mental effort
- 0 1
  
  Real-time & Continuous
  
  Enabling the objective measurement of Cognitive Load from pupillometry in real-time.
- 0 2
  
  Compensating Brightness Changes
  
  The only approach on the market that compensates for changes in environmental brightness.
Download whitepaper
02

Individual Biomarker 2

Extended Gaze Metrics (EGM)

Gaze behavior in closest detail
- 0 1
  
  Low- & Mid-Level Features
  
  Realization of established behavioral statistics based on fixations, saccades, and blinks.
- 0 2
  
  Abstract Behavioral Metrics
  
  Advanced behavioral representations (K-Coefficient, Blink Rate Variability, etc.).
Download whitepaper
03

Individual Biomarker 3

Conscious Perception Index (CPI)

Which information do we actually perceive?
- 0 1
  
  Looking vs. Perceiving
  
  The CPI biomarker describes awareness of stimuli in contrast to standard visual attention distributions based purely on gaze location.
- 0 2
  
  Analytics suited to your application
  
  Our CPI biomarker allows evaluation via heatmaps, per object or area of interest & as continuous data.
Download whitepaper
04

Individual Biomarker 4

Coming Soon

We’re currently working on several biomarkers that we will present in the future.

Easy setup from
the get go

Our eye tracking system is designed for simplicity. Quick to set up and intuitive to use, it integrates seamlessly into your existing processes.

Choose your hardware

Select from a range of eye tracking devices, each designed to suit different environments and applications, ensuring you have the right tool for the job.

Calibration

Quickly and easily calibrate your device to start gathering accurate data immediately, with minimal setup time required.

Start monitoring

Begin capturing real-time cognitive insights, enabling you to monitor, analyze, and act on critical data from the very first session.

Scientific Publications

Dive into the latest research and findings showcasing the potential of eye tracking for cognitive insights

2014 – Schotter, E. R., Tran, R., & Rayner, K.

Don’t believe what you read (only once): Comprehension is supported by regressions during reading. Psychological Science, 25(6), 1218-1226.

This study explores the role of eye regressions (backtracking in reading) in comprehension processes using eye-tracking data.

2006 – Kliegl, R., Nuthmann, A., & Engbert, R.

Tracking the mind during reading: The influence of past, present, and future words on fixation durations. Journal of Experimental Psychology: General, 135(1), 12-35.

Although slightly earlier than 2010, this is a key study that uses eye-tracking to explore how context (past, present, and future words) influences fixation durations in reading.

2017 – Feng, G., Miller, K., Shu, H., & Zhang, H.

Orthographic and semantic processing in Chinese word recognition: Insights from eye movements. Journal of Experimental Psychology: Learning, Memory, and Cognition, 43(3), 496-507.

Examines how orthography and semantics influence Chinese word recognition through eye movements.

2011 – Kuhn, G., Tatler, B. W., Findlay, J. M., & Cole, G. G.

Misdirection in magic: Implications for the relationship between eye gaze and attention. Attention, Perception, & Psychophysics, 73(7), 211-223.

This paper uses eye-tracking to explore how attention can be misdirected by magicians, revealing insights into visual attention and perception.

2017 – Henderson, J. M., & Hayes, T. R.

Meaning-based guidance of attention in scenes as revealed by meaning maps. Nature Human Behaviour, 1(10), 743-747.

Investigates how meaningful regions of a scene guide visual attention, using eye-tracking to link cognitive processing with gaze patterns.

2012 – Hoffman, J. E., & Subramaniam, B.

The role of visual attention in saccadic eye movements. Perception & Psychophysics, 65(5), 766-779.

Focuses on how visual attention affects saccadic eye movements, revealing insights into attentional selection and perception.

2011 – Glöckner, A., & Herbold, A. K.

An eye-tracking study on information processing in risky decisions: Evidence for compensatory strategies based on automatic processes. Journal of Behavioral Decision Making, 24(1), 71-98.

This study explores the cognitive processes behind risky decision-making, showing how eye-tracking can differentiate between automatic and deliberate strategies.

2009 – Horstmann, N., Ahlgrimm, A., & Glöckner, A.

How distinct are intuition and deliberation? An eye-tracking analysis of instruction-induced decision modes. Judgment and Decision Making, 4(5), 335-354.

Investigates decision-making under different cognitive strategies, using eye-tracking to distinguish between intuitive and deliberate modes of thinking.

2013 – Fiedler, S., Glöckner, A., Nicklisch, A., & Dickert, S.

Social value orientation and information search in social dilemmas: An eye-tracking analysis. Organizational Behavior and Human Decision Processes, 120(2), 272-284.

Uses eye-tracking to understand how individuals process information in social dilemmas and how their social value orientations influence their decision-making.

2010 – Hannula, D. E., Ryan, J. D., Tranel, D., & Cohen, N. J.

Memory for the where, when, and who of events: The role of the hippocampus in binding multiple dimensions of episodic memory. Journal of Neuroscience, 30(43), 14245-14255.

Examines how eye-tracking can be used to investigate the role of the hippocampus in episodic memory, specifically in tracking where, when, and who of past events.

2009 – Hannula, D. E., & Ranganath, C. (2009)

The eyes have it: Hippocampal activity predicts expression of memory in eye movements. Neuron, 63(5), 592-599.

Shows how hippocampal activity is related to memory-guided eye movements, revealing how eye-tracking can predict the expression of memory.

2018 – Otero, N., Skinner, A. L., & Benton, C. P. (2018).

Effects of divided attention on memory-guided visual search: Evidence from eye movements. Cognition, 177, 48-58.

Investigates the impact of divided attention on memory-guided visual search, using eye-tracking to provide insight into attentional control during memory retrieval.

2010 – van Gog, T., Paas, F., Marcus, N., Ayres, P., & Sweller, J.

The mirror neuron system and observational learning: Implications for the effectiveness of dynamic visualizations. Educational Psychology Review, 22(1), 47-72.

This study explores how eye-tracking can provide insight into learning processes, particularly in observing and mimicking tasks in educational contexts.

2021 – Hyönä, J., & Nurminen, A.

Immediate and delayed effects of refutation and standard expository texts on the learning of scientific concepts: Evidence from eye movements. Contemporary Educational Psychology, 64, 101935

Investigates how different types of instructional text influence learning, with eye-tracking providing insights into how students process and retain information.

Schotter, E. R., Tran, R., & Rayner, K. (2014)

Don’t believe what you read (only once): Comprehension is supported by regressions during reading. Psychological Science, 25(6), 1218-1226.

This study explores the role of eye regressions (backtracking in reading) in comprehension processes using eye-tracking data.

Kliegl, R., Nuthmann, A., & Engbert, R. (2006)

Tracking the mind during reading: The influence of past, present, and future words on fixation durations. Journal of Experimental Psychology: General, 135(1), 12-35.

Although slightly earlier than 2010, this is a key study that uses eye-tracking to explore how context (past, present, and future words) influences fixation durations in reading.

Feng, G., Miller, K., Shu, H., & Zhang, H. (2017)

Orthographic and semantic processing in Chinese word recognition: Insights from eye movements. Journal of Experimental Psychology: Learning, Memory, and Cognition, 43(3), 496-507.

Examines how orthography and semantics influence Chinese word recognition through eye movements.

Kuhn, G., Tatler, B. W., Findlay, J. M., & Cole, G. G. (2011)

Misdirection in magic: Implications for the relationship between eye gaze and attention. Attention, Perception, & Psychophysics, 73(7), 211-223.

This paper uses eye-tracking to explore how attention can be misdirected by magicians, revealing insights into visual attention and perception.

Henderson, J. M., & Hayes, T. R. (2017)

Meaning-based guidance of attention in scenes as revealed by meaning maps. Nature Human Behaviour, 1(10), 743-747.

Investigates how meaningful regions of a scene guide visual attention, using eye-tracking to link cognitive processing with gaze patterns.

Hoffman, J. E., & Subramaniam, B. (2012)

The role of visual attention in saccadic eye movements. Perception & Psychophysics, 65(5), 766-779.

Focuses on how visual attention affects saccadic eye movements, revealing insights into attentional selection and perception.

Glöckner, A., & Herbold, A. K. (2011)

An eye-tracking study on information processing in risky decisions: Evidence for compensatory strategies based on automatic processes. Journal of Behavioral Decision Making, 24(1), 71-98.

This study explores the cognitive processes behind risky decision-making, showing how eye-tracking can differentiate between automatic and deliberate strategies.

Horstmann, N., Ahlgrimm, A., & Glöckner, A. (2009)

How distinct are intuition and deliberation? An eye-tracking analysis of instruction-induced decision modes. Judgment and Decision Making, 4(5), 335-354.

Investigates decision-making under different cognitive strategies, using eye-tracking to distinguish between intuitive and deliberate modes of thinking.

Schotter, E. R., Tran, R., & Rayner, K. (2014)

Don’t believe what you read (only once): Comprehension is supported by regressions during reading. Psychological Science, 25(6), 1218-1226.

This study explores the role of eye regressions (backtracking in reading) in comprehension processes using eye-tracking data.

Kliegl, R., Nuthmann, A., & Engbert, R. (2006)

Tracking the mind during reading: The influence of past, present, and future words on fixation durations. Journal of Experimental Psychology: General, 135(1), 12-35.

Although slightly earlier than 2010, this is a key study that uses eye-tracking to explore how context (past, present, and future words) influences fixation durations in reading.

Feng, G., Miller, K., Shu, H., & Zhang, H. (2017)

Orthographic and semantic processing in Chinese word recognition: Insights from eye movements. Journal of Experimental Psychology: Learning, Memory, and Cognition, 43(3), 496-507.

Examines how orthography and semantics influence Chinese word recognition through eye movements.

Kuhn, G., Tatler, B. W., Findlay, J. M., & Cole, G. G. (2011)

Misdirection in magic: Implications for the relationship between eye gaze and attention. Attention, Perception, & Psychophysics, 73(7), 211-223.

This paper uses eye-tracking to explore how attention can be misdirected by magicians, revealing insights into visual attention and perception.

Henderson, J. M., & Hayes, T. R. (2017)

Meaning-based guidance of attention in scenes as revealed by meaning maps. Nature Human Behaviour, 1(10), 743-747.

Investigates how meaningful regions of a scene guide visual attention, using eye-tracking to link cognitive processing with gaze patterns.

Hoffman, J. E., & Subramaniam, B. (2012)

The role of visual attention in saccadic eye movements. Perception & Psychophysics, 65(5), 766-779.

Focuses on how visual attention affects saccadic eye movements, revealing insights into attentional selection and perception.

Glöckner, A., & Herbold, A. K. (2011)

An eye-tracking study on information processing in risky decisions: Evidence for compensatory strategies based on automatic processes. Journal of Behavioral Decision Making, 24(1), 71-98.

This study explores the cognitive processes behind risky decision-making, showing how eye-tracking can differentiate between automatic and deliberate strategies.

Horstmann, N., Ahlgrimm, A., & Glöckner, A. (2009)

How distinct are intuition and deliberation? An eye-tracking analysis of instruction-induced decision modes. Judgment and Decision Making, 4(5), 335-354.

Investigates decision-making under different cognitive strategies, using eye-tracking to distinguish between intuitive and deliberate modes of thinking.

Fiedler, S., Glöckner, A., Nicklisch, A., & Dickert, S. (2013)

Social value orientation and information search in social dilemmas: An eye-tracking analysis. Organizational Behavior and Human Decision Processes, 120(2), 272-284.

Uses eye-tracking to understand how individuals process information in social dilemmas and how their social value orientations influence their decision-making.

Hannula, D. E., Ryan, J. D., Tranel, D., & Cohen, N. J. (2010)

Memory for the where, when, and who of events: The role of the hippocampus in binding multiple dimensions of episodic memory. Journal of Neuroscience, 30(43), 14245-14255.

Examines how eye-tracking can be used to investigate the role of the hippocampus in episodic memory, specifically in tracking where, when, and who of past events.

Hannula, D. E., & Ranganath, C. (2009) (2009)

The eyes have it: Hippocampal activity predicts expression of memory in eye movements. Neuron, 63(5), 592-599.

Shows how hippocampal activity is related to memory-guided eye movements, revealing how eye-tracking can predict the expression of memory.

Otero, N., Skinner, A. L., & Benton, C. P. (2018). (2018)

Effects of divided attention on memory-guided visual search: Evidence from eye movements. Cognition, 177, 48-58.

Investigates the impact of divided attention on memory-guided visual search, using eye-tracking to provide insight into attentional control during memory retrieval.

van Gog, T., Paas, F., Marcus, N., Ayres, P., & Sweller, J. (2010)

The mirror neuron system and observational learning: Implications for the effectiveness of dynamic visualizations. Educational Psychology Review, 22(1), 47-72.

This study explores how eye-tracking can provide insight into learning processes, particularly in observing and mimicking tasks in educational contexts.

Hyönä, J., & Nurminen, A. (2021)

Immediate and delayed effects of refutation and standard expository texts on the learning of scientific concepts: Evidence from eye movements. Contemporary Educational Psychology, 64, 101935

Investigates how different types of instructional text influence learning, with eye-tracking providing insights into how students process and retain information.

Fiedler, S., Glöckner, A., Nicklisch, A., & Dickert, S. (2013)

Social value orientation and information search in social dilemmas: An eye-tracking analysis. Organizational Behavior and Human Decision Processes, 120(2), 272-284.

Uses eye-tracking to understand how individuals process information in social dilemmas and how their social value orientations influence their decision-making.

Hannula, D. E., Ryan, J. D., Tranel, D., & Cohen, N. J. (2010)

Memory for the where, when, and who of events: The role of the hippocampus in binding multiple dimensions of episodic memory. Journal of Neuroscience, 30(43), 14245-14255.

Examines how eye-tracking can be used to investigate the role of the hippocampus in episodic memory, specifically in tracking where, when, and who of past events.

Hannula, D. E., & Ranganath, C. (2009) (2009)

The eyes have it: Hippocampal activity predicts expression of memory in eye movements. Neuron, 63(5), 592-599.

Shows how hippocampal activity is related to memory-guided eye movements, revealing how eye-tracking can predict the expression of memory.

Otero, N., Skinner, A. L., & Benton, C. P. (2018). (2018)

Effects of divided attention on memory-guided visual search: Evidence from eye movements. Cognition, 177, 48-58.

Investigates the impact of divided attention on memory-guided visual search, using eye-tracking to provide insight into attentional control during memory retrieval.

van Gog, T., Paas, F., Marcus, N., Ayres, P., & Sweller, J. (2010)

The mirror neuron system and observational learning: Implications for the effectiveness of dynamic visualizations. Educational Psychology Review, 22(1), 47-72.

This study explores how eye-tracking can provide insight into learning processes, particularly in observing and mimicking tasks in educational contexts.

Hyönä, J., & Nurminen, A. (2021)

Immediate and delayed effects of refutation and standard expository texts on the learning of scientific concepts: Evidence from eye movements. Contemporary Educational Psychology, 64, 101935

Investigates how different types of instructional text influence learning, with eye-tracking providing insights into how students process and retain information.

Find more insights in our whitepapers

Explore our comprehensive whitepapers to dive deep into the future of cognitive monitoring and eye tracking analytics.

Download our whitepapers

Questions?

Find quick answers to some of the most common questions about SOMA’s eye-tracking technology, applications, and how it can revolutionize your cognitive insights.

How does SOMA’s eye-tracking analytics differ from traditional EEG and fNIRS systems?

While EEG and fNIRS use sensors to measure brain activity directly, eye tracking-based cognitive analytics combine the power of (i) obtaining insights from well understood psychophysiologic phenomena via pupillometry, (ii) perception-related metrics describing how people gather information, and (iii) enabling the contextualization of cognition and perception to actual objects and ongoing activities via using eye gaze as pointer of visual attention.
Moreover, due to the simple setup in comparison to EEG and fNIRS, eye trackers can be worn during any activity, thus take cognitive insights to new levels of practicability.

How can I integrate SOMA’s technology into my existing systems?

Our analytics can get integrated into any eye tracking system. No eye tracking system? No problem, we help you find the right solution.
If you are a developer yourself we also offer an SDK. For more information please contact us.

What eye tracking hardware do you support?

Our technology works with any eye tracking solution on the market. That being said, we recommend using Tobii, Pupil Labs or ViewPointSystems.

What support and training are available for new users of SOMA’s technology?

Our team assists you with any needs that you might have during setup or ongoing operation.

What is your pricing model?

We charge a yearly license per biomarker per device. If you are a researcher we offer a research license at a discount.

Does your system work outside the laboratory?

Yes, our system can be used in various settings, including during movement and under changing brightness conditions. There is no limitation on where cognitive changes based on eye-tracking can be monitored.

How to work with us

Contact us via contact form

Reach out to us and we’ll get back to you to discuss your specific needs and how we can help.

Define your
needs

We’ll work closely with you to understand your goals and customize a solution that fits your requirements.

Implement the solution

Once everything is aligned, our team will assist in seamlessly integrating our technology into your operations.

Get Started

How eye tracking enables cognitive insights

Enhance Safety

Reduce Training Cost

Improve Productivity

Unlock Human Potential

Real-time & Continuous

Enabling the objective measurement of Cognitive Load from pupillometry in real-time.

Compensating Brightness Changes

The only approach on the market that compensates for changes in environmental brightness.

Low- & Mid-Level Features

Realization of established behavioral statistics based on fixations, saccades, and blinks.

Abstract Behavioral Metrics

Advanced behavioral representations (K-Coefficient, Blink Rate Variability, etc.).

Looking vs. Perceiving

The CPI biomarker describes awareness of stimuli in contrast to standard visual attention distributions based purely on gaze location.

Analytics suited to your application

Our CPI biomarker allows evaluation via heatmaps, per object or area of interest & as continuous data.

Choose your hardware

Calibration

Start monitoring

Don’t believe what you read (only once): Comprehension is supported by regressions during reading. Psychological Science, 25(6), 1218-1226.

Tracking the mind during reading: The influence of past, present, and future words on fixation durations. Journal of Experimental Psychology: General, 135(1), 12-35.

Orthographic and semantic processing in Chinese word recognition: Insights from eye movements. Journal of Experimental Psychology: Learning, Memory, and Cognition, 43(3), 496-507.

Misdirection in magic: Implications for the relationship between eye gaze and attention. Attention, Perception, & Psychophysics, 73(7), 211-223.

Meaning-based guidance of attention in scenes as revealed by meaning maps. Nature Human Behaviour, 1(10), 743-747.

The role of visual attention in saccadic eye movements. Perception & Psychophysics, 65(5), 766-779.

An eye-tracking study on information processing in risky decisions: Evidence for compensatory strategies based on automatic processes. Journal of Behavioral Decision Making, 24(1), 71-98.

How distinct are intuition and deliberation? An eye-tracking analysis of instruction-induced decision modes. Judgment and Decision Making, 4(5), 335-354.

Social value orientation and information search in social dilemmas: An eye-tracking analysis. Organizational Behavior and Human Decision Processes, 120(2), 272-284.

Memory for the where, when, and who of events: The role of the hippocampus in binding multiple dimensions of episodic memory. Journal of Neuroscience, 30(43), 14245-14255.

The eyes have it: Hippocampal activity predicts expression of memory in eye movements. Neuron, 63(5), 592-599.

Effects of divided attention on memory-guided visual search: Evidence from eye movements. Cognition, 177, 48-58.

The mirror neuron system and observational learning: Implications for the effectiveness of dynamic visualizations. Educational Psychology Review, 22(1), 47-72.

Immediate and delayed effects of refutation and standard expository texts on the learning of scientific concepts: Evidence from eye movements. Contemporary Educational Psychology, 64, 101935

Don’t believe what you read (only once): Comprehension is supported by regressions during reading. Psychological Science, 25(6), 1218-1226.

Tracking the mind during reading: The influence of past, present, and future words on fixation durations. Journal of Experimental Psychology: General, 135(1), 12-35.

Orthographic and semantic processing in Chinese word recognition: Insights from eye movements. Journal of Experimental Psychology: Learning, Memory, and Cognition, 43(3), 496-507.

Misdirection in magic: Implications for the relationship between eye gaze and attention. Attention, Perception, & Psychophysics, 73(7), 211-223.

Meaning-based guidance of attention in scenes as revealed by meaning maps. Nature Human Behaviour, 1(10), 743-747.

The role of visual attention in saccadic eye movements. Perception & Psychophysics, 65(5), 766-779.

An eye-tracking study on information processing in risky decisions: Evidence for compensatory strategies based on automatic processes. Journal of Behavioral Decision Making, 24(1), 71-98.

How distinct are intuition and deliberation? An eye-tracking analysis of instruction-induced decision modes. Judgment and Decision Making, 4(5), 335-354.

Don’t believe what you read (only once): Comprehension is supported by regressions during reading. Psychological Science, 25(6), 1218-1226.

Tracking the mind during reading: The influence of past, present, and future words on fixation durations. Journal of Experimental Psychology: General, 135(1), 12-35.

Orthographic and semantic processing in Chinese word recognition: Insights from eye movements. Journal of Experimental Psychology: Learning, Memory, and Cognition, 43(3), 496-507.

Misdirection in magic: Implications for the relationship between eye gaze and attention. Attention, Perception, & Psychophysics, 73(7), 211-223.

Meaning-based guidance of attention in scenes as revealed by meaning maps. Nature Human Behaviour, 1(10), 743-747.

The role of visual attention in saccadic eye movements. Perception & Psychophysics, 65(5), 766-779.

An eye-tracking study on information processing in risky decisions: Evidence for compensatory strategies based on automatic processes. Journal of Behavioral Decision Making, 24(1), 71-98.

How distinct are intuition and deliberation? An eye-tracking analysis of instruction-induced decision modes. Judgment and Decision Making, 4(5), 335-354.

Social value orientation and information search in social dilemmas: An eye-tracking analysis. Organizational Behavior and Human Decision Processes, 120(2), 272-284.

Memory for the where, when, and who of events: The role of the hippocampus in binding multiple dimensions of episodic memory. Journal of Neuroscience, 30(43), 14245-14255.

The eyes have it: Hippocampal activity predicts expression of memory in eye movements. Neuron, 63(5), 592-599.

Effects of divided attention on memory-guided visual search: Evidence from eye movements. Cognition, 177, 48-58.

The mirror neuron system and observational learning: Implications for the effectiveness of dynamic visualizations. Educational Psychology Review, 22(1), 47-72.

Immediate and delayed effects of refutation and standard expository texts on the learning of scientific concepts: Evidence from eye movements. Contemporary Educational Psychology, 64, 101935

Social value orientation and information search in social dilemmas: An eye-tracking analysis. Organizational Behavior and Human Decision Processes, 120(2), 272-284.

Memory for the where, when, and who of events: The role of the hippocampus in binding multiple dimensions of episodic memory. Journal of Neuroscience, 30(43), 14245-14255.

The eyes have it: Hippocampal activity predicts expression of memory in eye movements. Neuron, 63(5), 592-599.

Effects of divided attention on memory-guided visual search: Evidence from eye movements. Cognition, 177, 48-58.

The mirror neuron system and observational learning: Implications for the effectiveness of dynamic visualizations. Educational Psychology Review, 22(1), 47-72.

Immediate and delayed effects of refutation and standard expository texts on the learning of scientific concepts: Evidence from eye movements. Contemporary Educational Psychology, 64, 101935

Find more insights in our whitepapers

How to work with us