# Physiologically-Informed Predictability of a Teammate's Future Actions Forecasts Team Performance

arXiv: https://arxiv.org/abs/2501.15328 · HTML: https://mlsanity.com/paper/2501.15328/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 4 of its 51 references that are in the map.
- First posted on arXiv 25 Jan 2025.

## Builds on (most cited first, 4 of 4)

- [Attention Is All You Need](https://mlsanity.com/paper/1706.03762/) (2017)
- [Concept-based explainability for an EEG transformer model](https://mlsanity.com/paper/2307.12745/) (2023)
- [Correlated Components Analysis - Extracting Reliable Dimensions in Multivariate Data](https://mlsanity.com/paper/1801.08881/) (2018)
- [EEG in the classroom: Synchronised neural recordings during video presentation](https://mlsanity.com/paper/1604.03019/) (2016)

## Built on by (most cited first, 1 of 1)

- [CREW-WILDFIRE: Benchmarking Agentic Multi-Agent Collaborations at Scale](https://mlsanity.com/paper/2507.05178/) (2025)

## Abstract (arXiv)

In collaborative environments, a deep understanding of multi-human teaming dynamics is essential for optimizing performance. However, the relationship between individuals' behavioral and physiological markers and their combined influence on overall team performance remains poorly understood. To explore this, we designed a triadic human collaborative sensorimotor task in virtual reality (VR) and introduced a novel predictability metric to examine team dynamics and performance. Our findings reveal a strong connection between team performance and the predictability of a team member's future actions based on other team members' behavioral and physiological data. Contrary to conventional wisdom that high-performing teams are highly synchronized, our results suggest that physiological and behavioral synchronizations among team members have a limited correlation with team performance. These insights provide a new quantitative framework for understanding multi-human teaming, paving the way for deeper insights into team dynamics and performance.