Expanding research with eye tracking and multimodal methods

About the guide

Eye tracking reveals where people look and how they visually explore the world around them. But visual attention is only one part of the story.

Combining eye tracking with neural, physiological, behavioral, movement, and contextual data can help researchers investigate how attention, cognition, physiology, and action unfold together. These complementary measures can provide additional context, help distinguish similar patterns of visual behavior, and connect what people look at with what is happening in the brain and body.

Whether you're exploring multimodal research for the first time or looking to refine an existing setup, this comprehensive guide explores how to design and conduct effective multimodal studies.

What’s inside

• How eye tracking complements EEG, GSR, cardiac activity, fNIRS, motion capture, and contextual data

• Real-world examples of multimodal research in practice

• Best practices for synchronization, data quality, and analysis

• How to manage more complex multimodal setups

• Ways to synchronize and integrate data using TTL, LSL, APIs/SDKs, and timestamps

• Considerations for screen-based and wearable studies