Context-aware adaptive visualizations for critical decision making

Introduction

We live in an era of information overload that impairs objective decision making, especially in time-sensitive contexts. Information Visualization (InfoVis) systems have been used to mitigate information overload, yet they have not yet unlocked their potential in critical decision-making scenarios.

Importance of InfoVis

From emergency rooms and autonomous cars to operational command centres, a clear understanding and rapid assessment based on the available data can make the difference between life and death.

Vision of SYMBIOTIK

SYMBIOTIK envisions an effortless interaction dialogue between human and InfoVis systems to support decision-making processes, inspired by known biological principles and guided by artificial intelligence (AI).

Requirements for AI Solutions

Critically, this dialogue requires AI solutions with:

• Context awareness
• Emotion sensing
• Expressing capabilities

Proposed Framework

We propose a novel framework where both the human and the machine cooperate towards a common goal and evolve together. Awareness principles will allow us to engineer complex systems, making them more resilient and more human-centric.

Approach to Awareness Engineering

We will define an integrative approach for awareness engineering and propose a specific open-source implementation.

Demonstration and Validation

Finally, we will demonstrate and validate the role and added value of such an awareness framework in two scenarios:

1. Supporting novice-to-expert transitions
2. Critical decision making

Long-term Impact

The awareness principles to be developed in this project can support learning, adaptation, and self-development of intelligent systems over long periods of time, not only in the InfoVis domain.

Potential Breakthroughs

Therefore, SYMBIOTIK has the potential to achieve the real breakthroughs needed to bring awareness and emotional intelligence for decision-making tasks in computing systems.

Beneficiaries

The results of the project will benefit a range of stakeholders, including:

• Human vision and brain researchers
• Computer scientists
• Citizens
• Research funding bodies
• Policy makers