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arXiv · 2610.21786

NICE Toolbox: Nonverbal Interpersonal Communication Exploration Toolbox

Aleksandr Evgrashin·Carolin Schmitt·Timo Lübbing·Ashutosh Jha·Buket Naz Zeren·Sophie K. Bauer·Johannes Kopf-Beck·Anton K. G. Marx·Anamaria Semm·Gökce Ergün·Senya Polikovsky
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Abstract

Understanding human communication is a long-standing goal in psychological research. People express themselves through many verbal and nonverbal channels: posture, gesture, gaze, facial expression, and speech. Measurement and annotation of these signals has traditionally required time-consuming manual work by trained human labellers. The Nonverbal Interpersonal Communication Exploration (NICE) Toolbox is a free, open-source Python framework that automatically measures these signals by combining existing state-of-the-art computer vision and speech-processing methods into a single software package. It includes support for multi-camera systems, interchangeable detection algorithms, 2D and 3D visualization of detector outputs, evaluation on the user's custom data, and export to third-party software. With the release of this tool, we aim to make data exploration of interpersonal communication signals scalable, reproducible, and accessible for psychological research.

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Aleksandr Evgrashin, Carolin Schmitt, Timo Lübbing, Ashutosh Jha, Buket Naz Zeren, Sophie K. Bauer, Johannes Kopf-Beck, Anton K. G. Marx, Anamaria Semm, Gökce Ergün, Senya Polikovsky. 2026-10-15. NICE Toolbox: Nonverbal Interpersonal Communication Exploration Toolbox. https://arxiv.org/abs/2610.21786

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