Multimodal-Multisensory Experiments Institutional Repository Document uri icon


  • The human mind is multimodal. Yet most behavioral studies rely on century-old measures of behaviortask accuracy and latency (response time). Multimodal and multisensory analysis of human behavior creates a better understanding of how the mind works. The problem is that designing and implementing these experiments is technically complex and costly. This paper introduces versatile and economical means of developing multimodal-multisensory human experiments. We provide an experimental design framework that automatically integrates and synchronizes measures including electroencephalogram (EEG), galvanic skin response (GSR), eye-tracking, virtual reality (VR), body movement, mouse/cursor motion and response time. Unlike proprietary systems (e.g., iMotions), our system is free and open-source; it integrates PsychoPy, Unity and Lab Streaming Layer (LSL). The system embeds LSL inside PsychoPy/Unity for the synchronization of multiple sensory signalsgaze motion, electroencephalogram (EEG), galvanic skin response (GSR), mouse/cursor movement, and body motionwith low-cost consumer-grade devices in a simple behavioral task designed by PsychoPy and a virtual reality environment designed by Unity. This tutorial shows a step-by-step process by which a complex multimodal-multisensory experiment can be designed and implemented in a few hours. When conducting the experiment, all of the data synchronization and recoding of the data to disk will be done automatically.

altmetric score

  • 1.35

author list (cited authors)

  • Razavi, M., Yamauchi, T., Janfaza, V., Leontyev, A., Longmire-Monford, S., & Orr, J.

citation count

  • 3

complete list of authors

  • Razavi, Moein||Yamauchi, Takashi||Janfaza, Vahid||Leontyev, Anton||Longmire-Monford, Shanle||Orr, Joseph

Book Title


publication date

  • August 2020