Visual Analytics for Human-Centered Artificial Intelligence

Georgi Nikolov; Valérie Lavigne; Margaret Varga; Antti Kirtelaa; Carsten Winkelholz; Adelica Ndoni; Cyril Ray

Visual Analytics for Human-Centered Artificial Intelligence

Georgi Nikolov
, Valérie Lavigne
, Margaret Varga
, Antti Kirtelaa
, Carsten Winkelholz
, Adelica Ndoni
, Cyril Ray

Cyber Defence Lab

Defence Research and Development Canada
University of Oxford
Finnish Defence Research Agency
Fraunhofer FKIE

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

This position paper outlines a framework for integrating Human-Centered Artificial Intelligence, Human-
Machine Teaming and Visual Analytics in which information foraging and sensemaking are supported by
iterative user feedback. We discuss how this integration can enable safe and efficient AI tools for data
analysis and decision support in military applications from a complex system perspective where the dynamic
interaction of diverse data, interconnected systems, and emergent characteristics, are too large and complex
to analyse and understand without machine support, and the research challenges of this integration.

Original language	English
Title of host publication	Visual Analytics for Human-Centered Artificial Intelligence
Publisher	NATO Science and Technology Organization
ISBN (Electronic)	ISBN 978-92-837-2633-3
Publication status	Published - 18 Feb 2026

Keywords

Visual Analytics
Interactive Visualization
Human-Centered Artificial Intelligence
Human-Machine Teaming
Data Analysis
Sensemaking
Trust
Security
Robustness
Cyber Security
Intelligence Analysis
Situation Awareness
Situation Understanding
Explainable AI
Complex Systems

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title = "Visual Analytics for Human-Centered Artificial Intelligence",

abstract = "This position paper outlines a framework for integrating Human-Centered Artificial Intelligence, Human- Machine Teaming and Visual Analytics in which information foraging and sensemaking are supported by iterative user feedback. We discuss how this integration can enable safe and efficient AI tools for data analysis and decision support in military applications from a complex system perspective where the dynamic interaction of diverse data, interconnected systems, and emergent characteristics, are too large and complex to analyse and understand without machine support, and the research challenges of this integration.",

keywords = "Visual Analytics, Interactive Visualization, Human-Centered Artificial Intelligence, Human-Machine Teaming, Data Analysis, Sensemaking, Trust, Security, Robustness, Cyber Security, Intelligence Analysis, Situation Awareness, Situation Understanding, Explainable AI, Complex Systems",

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TY - CHAP

T1 - Visual Analytics for Human-Centered Artificial Intelligence

AU - Nikolov, Georgi

AU - Lavigne, Valérie

AU - Varga, Margaret

AU - Kirtelaa, Antti

AU - Winkelholz, Carsten

AU - Ndoni, Adelica

AU - Ray, Cyril

PY - 2026/2/18

Y1 - 2026/2/18

N2 - This position paper outlines a framework for integrating Human-Centered Artificial Intelligence, Human- Machine Teaming and Visual Analytics in which information foraging and sensemaking are supported by iterative user feedback. We discuss how this integration can enable safe and efficient AI tools for data analysis and decision support in military applications from a complex system perspective where the dynamic interaction of diverse data, interconnected systems, and emergent characteristics, are too large and complex to analyse and understand without machine support, and the research challenges of this integration.

AB - This position paper outlines a framework for integrating Human-Centered Artificial Intelligence, Human- Machine Teaming and Visual Analytics in which information foraging and sensemaking are supported by iterative user feedback. We discuss how this integration can enable safe and efficient AI tools for data analysis and decision support in military applications from a complex system perspective where the dynamic interaction of diverse data, interconnected systems, and emergent characteristics, are too large and complex to analyse and understand without machine support, and the research challenges of this integration.

KW - Visual Analytics

KW - Interactive Visualization

KW - Human-Centered Artificial Intelligence

KW - Human-Machine Teaming

KW - Data Analysis

KW - Sensemaking

KW - Trust

KW - Security

KW - Robustness

KW - Cyber Security

KW - Intelligence Analysis

KW - Situation Awareness

KW - Situation Understanding

KW - Explainable AI

KW - Complex Systems

M3 - Chapter

BT - Visual Analytics for Human-Centered Artificial Intelligence

PB - NATO Science and Technology Organization

ER -

Visual Analytics for Human-Centered Artificial Intelligence

Abstract

Keywords

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