Eye Tracking in Immersive Simulation Research: A Unified Framework for 2026

Future-Proof | Chapter #3

Discover how to integrate high-precision eye tracking and multi-modal analysis into immersive simulations. Unlocking deeper insights into human behavior and cognitive load has never been as crucial as today. As industries from automotive to aerospace push the boundaries of human-machine interaction, understanding the user's focus, attention, and cognitive state within complex environments has become the latest necessity for valid, impactful research.

Behavioral Research Software: The Visionary’s Guide to Multimodal Analysis in 2026

Future-Proof | Chapter #1

The most sophisticated research lab in the world is useless if its data streams live in isolation. You've likely felt the frustration of manual synchronization errors or the friction of scaling a study from a controlled lab to real-world spheres. It's exhausting to manage fragmented sensors when your goal is to understand the holistic human experience. Discover how to unify complex biophysical data into actionable human-centered insights using next-generation behavioral research software platforms that bridge the gap between technical precision and visionary discovery.
Experience a shift where unified equals easy. We'll explore how to build a hassle-free research ecosystem that offers real-time multimodal data visualization while staying ahead of the $30.62 billion market expansion projected by 2034. From navigating the high-risk requirements of the EU AI Act in August 2026 to mastering AI-powered analysis with Prophea.X, this guide prepares you to lead the next era of human-technology interaction. Enter a space where your data doesn't just exist; it empowers.

Eye Tracking for Skills Assessment Research: Quantifying Expertise in 2026

Future-Proof | Chapter #2

What if you could peer into the cognitive architecture of expertise to map the exact visual patterns that separate a master from a novice? You’ve likely felt the frustration of subjective assessment bias, where identifying specific skill gaps in high-stakes environments feels more like an art than a science. As the global eye-tracking market grows toward an estimated 3.33 billion dollars in 2026, the technology has evolved into a vital partner for objective evaluation. By integrating eye tracking for skills assessment research into your workflow, you transform qualitative observations into precise, data-driven expertise metrics.
This article explores how Prophea.X and Dikablis Glasses allow you to enter a new sphere of behavioral insight. We’ll examine how to unify multimodal data streams and biophysical sensors to eliminate data silos and accelerate training cycles. Discover how to establish absolute performance benchmarks that empower your research and shape a human-centered future. From academic labs to industrial simulators, it’s time to move from simple observation to the expansion of human insights.

Visual Attention Analysis–The Power of Shared Gaze

Multi-subject eyetracking—simultaneously recording the gaze of two or more individuals—unlocks new dimensions in studying social interaction, joint attention, and collaborative behavior. Traditional single-subject setups limit insights to individual gaze patterns, but dual or multi-subject systems reveal how people coordinate attention in real time, a critical factor in fields like piloting, human-robot collaboration (HRC), education, sports, psychology, and healthcare.

For example, research highlights the importance of mutual gaze (when two people look at each other) and shared gaze (when both focus on the same object) in early social development and task coordination. These metrics, only measurable with multi-subject setups, enable researchers to quantify how gaze synchrony shapes communication, learning, and teamwork.
Achieving visual attention analysis for multiple subjects on a technical level requires a flexible & lossless recording framework handling scalable data flows without interference, delay, or other network- or computing-power-related restraints. Once an extremely complex method requiring manual synchronization and enormous hardware setups, Ergoneers’ Prophea.X has optimized this process, unlocking new dimensions in the study of social interaction, joint attention, and collaborative behavior.

Multi Subject Eyetracking meets Scalable Video Observation

In the pursuit of peak performance, every detail matters—where athletes look, how they move, and how their bodies respond under pressure. Traditional performance analysis often isolates these elements, but what if you could capture the full picture in real time, across multiple athletes, and at scale?

Entering the next frontier of sports science, we tested multi-subject eyetracking integrated with scalable video observation. This groundbreaking approach doesn’t just track gaze; it synchronizes visual attention with movement, posture, and positioning, unlocking unprecedented insights into decision-making, coordination, and skill execution in any sport and performance scenario. Whether it’s optimizing team dynamics in soccer, refining reaction times in tennis, or enhancing situational awareness in esports or military applications, this multimodal system is redefining how we analyze and elevate human performance.

In this article, we explore how combining eye-tracking with video observation creates a powerful tool for coaches, researchers, and athletes alike and why scalability is the key to making these insights accessible to everyone.

The Promises and Pitfalls of Eye Tracking

Eye-tracking technology has revolutionized fields from psychology to human-computer interaction, offering unprecedented insights into attention, cognition, and behavior. Yet, reviewing recent articles, our team often discovers that despite its potential, many researchers still grapple with outdated, error-prone, and labor-intensive methods.
Collaborating with leading research institutions, it has become our mission to improve the way eye-tracking research is conducted today. From often inefficient, expensive, and scientifically flawed to the eye-opening data asset this behavior research technology is.
This post explores the technical and methodological shortcomings of current practices—and how innovative solutions and practices can transform the field.

Eyetracking Meets Prescription Glasses or Safety Gear

For individuals with corrective eyewear or in situations where protective eyewear is mandatory—such as sports, manufacturing, military, firefighting, medicine, or science—traditional eyetracking wearables often fall short. Most solutions cannot be used over glasses or goggles, creating a critical gap in research and performance analysis.

Publication Report 2025 - Eye Tracking and Multimodal Analysis

General Trend
Eye tracking is increasingly used as a functional component within intelligent systems. In vehicles, robots, and interactive environments, gaze data is combined with additional signals—such as motion, context, and physiology—to support models of attention, intention, and risk. Rather than serving solely as a measurement tool, eye tracking is becoming part of operational perception pipelines in real-world systems.

In 2025, more than 50 peer-reviewed studies were published by research laboratories worldwide using Ergoneers technology. These publications span transportation, human–machine interaction, perception research, and multimodal AI. This report reviews the year’s output and highlights five studies that exemplify current methodological and applied trends

Eye Tracking - why markers make the difference

Understanding Prophea^eye & Dynamic Global AOIS®
Behavioral research depends on linking human perception to environmental cues, with eye tracking offering direct insight into visual attention. Yet most Eye tracker systems still flatten gaze into two dimensions—missing the depth of real-world contexts like cockpits or simulators. By pushing eye trackers to recognize areas of interest by integrating spatial markers, gaze can be anchored in true 3D space, turning objects into stable areas of interest across angles, movements, and sessions. This shift not only refines behavioral analysis but also paves the way toward machine seeing and intelligent systems incorporated in Prophea.X.

Unlocking Multi Subject Behavior and Interaction Insights

Eye Tracking of Multiple Subjects in One Take – Prophea^eye and Tobii redefine Behavior Observation
Eyetracking in Behavior research is evolving from isolated, single-subject studies toward more naturalistic, complex setups. With Prophea.X fields like automotive safety, human-machine interaction, and UX design, unlock deeper understanding how users behave in dynamic and multi-layered environments. Mobile eye trackers offer the flexibility to capture real-world gaze behavior, but scaling the use of mobile eyetrackers to multiple subjects to work or drive in parallel introduces a powerful shift in methodology. Meet Prophea.X.

How latest eye-tracking technology is opening a new era for sports performance insights

Eye-Tracking: Applications, Potentials, and Challenges in Sports Training & Performance Analysis

This white paper explores the application of state-of-the-art multi subject eye tracking and video observation in sports science, with a special emphasis on team sports and distinguished analysis objectives for individual object-player dynamics and laying out potentials for multi-modal studies

Behavior Research Labs - Boosting Efficiency with Integrated Software and Hardware

Behavior Research Labs: How to simplifying complexity.

Behavior Research Laboratories today span a wide and growing array of domains—from driver monitoring in autonomous vehicles to patient analysis in clinical settings, from human-robot interaction studies to usability testing in smart environments. These applications rely heavily on a fusion of observational methods, making labs increasingly complex to operate, scale, and standardize. At the heart of this complexity lies a common goal: capturing high-quality, meaningful data. Yet the diversity of sensors—such as video, physiological sensors, and eye trackers—along with the rising number of devices and experimental conditions, creates serious bottlenecks for lab efficiency. Synchronization, automation, and real-time analysis remain critical pain points.

The Advantages of Combining Biophysical Sensor Setups with Environmental and Device Data

Why One Modality Isn't Enough

In human behavior research and applied usability testing, data collection has for a long time relied on single-modality sensor setups—for example, using only eye tracking, heart rate, or user interaction logs to understand performance, emotion, or workload. Mostly due to the technical complexity of combining several modi, these unimodal approaches offer simplicity and ease of interpretation, but they also often fail to capture the full complexity of human experience. Especially in real-world environments where multiple factors interact simultaneously, primary results of unimodal analysis can be misleading.

The role of human behavior data:

Unlocking the potential of autonomous vehicles

The development of autonomous vehicles offers benefits like reduced traffic, increased safety, and improved mobility. Successful integration requires understanding human interaction through behavior data. This white paper explores the role of human behavior data, focusing on research methods and addressing challenges in data collection and analysis. We will introduce Ergoneers software and hardware as a solution to enhance data collection and analysis, aiming to improve understanding of human behavior in autonomous vehicle development.

Reading time: 15 min | By Rohit Sasidharan

What is Multimodal Research

Multimodal research is a scientific approach that combines different methods and types of data to gain broader and deeper insights into complex human phenomena. This research approach utilizes multiple modalities, which could also be understood as 'ways of operating or dealing with something' 1).
In regard to human behavior research, scientists' central focus has been on the analysis of 'speech and intonation, facial expression and gaze, gesture, body movements, and posture'. 2)
A wider view imposes the analysis of any kind of human motion, expression, communication, or interaction.

What is Eye Tracking

A General Introduction to Eye Tracking Research

In this article, we explore the fundamentals of eye tracking—what it is, how it works, and where it’s applied. You’ll learn how modern eyetracking systems measure gaze and eye movements using infrared technology and state of the art software, and why this method is essential for understanding attention, perception, and behavior in fields like UX research, psychology, automotive, and more.
Reading time: 5 min | By Ergoneers

Thanks for stopping by at I/Itsec 2024 !

We’re thrilled to have connected with so
many incredible professionals at I/ITSEC!

Live Demo at HFES - The Human Factors and Ergonomics Society Annual Meeting

Ergoneers is happy to present Prophea.X in partnership with Tobii

Eye Tracking Research & Applications - Join us at ETRA 2024, the premier ACM Symposium !

The future of eye tracking technology to be discovered. Meet our specialists at the leading convention in the field of Eye tracking.

Save the date

Ergoneers is happy to join the 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024) and the Affiliated Conferences.

Exciting Times at TRB 2024 Conference!

We are thrilled to share our exhilarating experience at the recent TRB (Transportation Research Board) Conference in Washington, DC. Being a part of this dynamic event was not just an opportunity, but a celebration for us at Ergoneers.

Continuous development - one community

Welcome to Prophea®´s user and development community!

Hello world, I am Prophea.X

Within the continuous process of development, Ergoneers is proud to publish the first official feature factsheet and corresponding availabilities of all single modules. In its full version, Prophea.X, will be the most advanced data recording and analysis system available on the market, specializing in human factors and behavioral research.