Entropy for team communication pattern recognition

DE Tchupo, GA Macht - Applied Ergonomics, 2023 - Elsevier
This work aims to demonstrate entropy as a method that can be used to analyze team
coordination using naturalistic team communication content. Much of team coordination …

[HTML][HTML] Dynamical biomarkers in teams and other multiagent systems

G Patil, P Nalepka, A Novak, F Auletta… - Journal of Science and …, 2023 - Elsevier
Effective team behavior in high-performance environments such as in sport and the military
requires individual team members to efficiently perceive the unfolding task events, predict …

A computational approach to examining team coordination breakdowns during crisis situations

KHJ van Eijndhoven, TJ Wiltshire… - Journal of Cognitive …, 2023 - journals.sagepub.com
During crisis situations, teams are more prone to coordination breakdowns that are
characterized by a temporary, diminished ability to function effectively as a team. However …

A methodological framework to study change in team cognition under the dynamical hypothesis

K van Eijndhoven, TJ Wiltshire… - Topics in Cognitive …, 2023 - Wiley Online Library
The dynamical hypothesis claims that cognitive systems, such as teams, are dynamical
systems (ie, an interdependent collection of individuals and their technology that change …

Introduction to the Emerging Cognitive Science of Distributed Human‐Autonomy Teams

CW Myers, NJ Cooke, JC Gorman… - Topics in Cognitive …, 2024 - Wiley Online Library
Teams are a fundamental aspect of life—from sports to business, to defense, to science, to
education. While the cognitive sciences tend to focus on information processing within …

Group Leader vs. Remaining Group—Whose Data Should Be Used for Prediction of Team Performance?

R Böck - Multimodal Technologies and Interaction, 2023 - mdpi.com
Humans are considered to be communicative, usually interacting in dyads or groups. In this
paper, we investigate group interactions regarding performance in a rather formal gathering …

The role of metacognitive monitoring in regulation at multiple levels of collaborative learning

E Haataja - 2022 - oulurepo.oulu.fi
Monitoring how learning progresses is a prerequisite for individual students to self-regulate
their learning and for a group of students to regulate their collaborative learning. This …

Harmonizing human-AI synergy: behavioral science in AI-integrated design

D Van Rooy, K Vaes - Proceedings of the Design Society, 2024 - cambridge.org
This paper explores the role of integrating behavioral science to refine human-AI interaction,
essential for ensuring safety and efficiency. Advocating for empathetic, user-centric design …

Towards neuro-symbolic reinforcement learning for trustworthy human-autonomy teaming

P Gurung, J Li, DB Rawat - Assurance and Security for AI …, 2024 - spiedigitallibrary.org
Artificial Intelligence (AI) has shown a tremendous impact on civilian and military
applications. However, traditional AI will remain inadequate because of issues such as …

Multi-level Team Coordination Dynamics during Simulation-Based Medical Team Training

K van Eijndhoven, TJ Wiltshire… - Proceedings of the …, 2024 - escholarship.org
Team coordination is essential for effective performance during critical, stressful events. To
better understand processes and states involved at multiple levels of team coordination, we …