Beyond eye tracking: Integrating multimodal research methods

Webinar details

Eye tracking provides a powerful window into human attention, but when combined with complementary physiological and behavioral data, it can reveal an even richer understanding of human behavior. 

Join Tobii for a research spotlight webinar exploring how eye tracking can be integrated with multimodal sensor technologies to answer complex research questions across laboratory and real-world settings. 

Through presentations from leading researchers and Tobii experts, you'll learn practical approaches for combining Tobii eye tracking with technologies such as EEG, GSR, heart rate, and other synchronized data streams to generate deeper insights and strengthen research outcomes. Learn about the experimental setup, synchronization methods, practical challenges, and key lessons from deploying multimodal measurements in the field. ​

What you'll learn:​

• Why combining eye tracking with additional physiological sensors provides a more complete understanding of attention, cognitive processes, emotional responses, and behavior  

• Practical approaches to designing multimodal research studies in both controlled laboratory and naturalistic environments. 

• Methods for combining eye tracking with other sensor data, including established high-accuracy synchronization approaches such as TTL and data integration workflows such as Lab Streaming Layer (LSL) 

• Best practices for data collection, synchronization, analysis, and overcoming common implementation challenges. 

• Real-world examples demonstrating how multimodal approaches have advanced research across different application areas. 

• The presentations will be followed by a live Q&A where you can ask questions to all the speakers and Tobii experts directly.

  Register today to discover how multimodal research can expand what's possible with eye tracking. 

The presentations

Session 1

Presenter: Dr. Nico Bast

The talk will explain the multimodal data assessment with eye-tracking and EEG in an experimental oddball paradigm. The focus will be the synchronization and extraction of trial-based metrics that allow us to model intraindividual dynamics and measure how they progress over time within experiments.

Session 2

Presenter: Dr. Jlenia Toppi

This presentation will describe our research on multimodal neurophysiological assessment during robot-assisted gait rehabilitation, combining high-density electroencephalography (HD-EEG) and eye tracking (ET) to investigate patient engagement. We studied how different visual feedback modalities and physiotherapist–patient interaction strategies influence visual attention and cortical activity in individuals with incomplete spinal cord injury during Lokomat training. By integrating neural and behavioral measures, our multimodal approach provides complementary insights into cognitive, attentional, and social processes underlying rehabilitation, offering evidence to support the design of more personalized, engaging, and effective robot-assisted neurorehabilitation protocols.

Session 3

Presenter: Dr. Simon Ladouce

This presentation will illustrate how multimodal eye tracking can be used to study attention across two naturalistic studies. The first combined Tobii Pro
Glasses 3, wearable motion sensing, computer vision, and Lab Streaming Layer synchronization to examine spatial attention during a meal. The second followed participants walking through Leuven while combining wearable eye tracking, foot-mounted motion sensors, GPS, and computer vision to investigate how terrain and social context shape gaze and gait during urban locomotion. I will discuss the value of integrating these data streams, synchronization and analysis challenges, and recommendations for multimodal research outside the laboratory.