Understanding the Role of Explanation Modality in AI-assisted decision-making

Advances in artificial intelligence and machine learning have led to a steep rise in the adoption of AI to augment or support human decision-making across domains.<br/>There has been an increasing body of work addressing the benefits of model interpretability and explanations to help end-users or other stakeholders decipher the inner workings of...

The role of DSSs in decision-making processes characterized by time pressure, uncertainty and dynamism: an agent-based modeling approach

The effect of using decision support systems in decision-making processes characterized by time pressure, uncertainty, and dynamism is still very limited and debated among researchers. By utilizing a case study that concerns the employment of a DSS to assist the procedures of intercepting fugitives undertaken by the Dutch National Police, this...

Values of the Blue Nile: An evaluation of the Nile Basin Decision Support System from a values perspective

The Blue Nile is characterised by growing tensions between Ethiopia, Sudan and Egypt related to increasing demands for water and upcoming unilateral developments. Growing efforts towards basin wide cooperation from the international and scientific community have led to the development of a common decision support tool, the Nile Basin Decision...

Towards Explainable Automation for Air Traffic Control Using Deep Q-learning from Demonstrations and Reward Decomposition

The current ATC system is seen as the most significant limitation to coping with an increased air traffic density. Transitioning towards an ATC system with a high degree of automation is essential to cope with future traffic demand of the airspace. In recent studies, reinforcement learning has shown promising results automating Conflict...

Flood Risk Prediction under Global Vegetated Hydrodynamics: A Bayesian Network

The increasing frequency and intensity of extreme events due to global warming and climate change is increasing flood risk. To act, rather than react, nature-based solutions (NBS) involving vegetation and wetlands are being explored on top of conventional solutions like dikes. WHY? There was a dire need for global study quantifying the potential...

Marine Fleet Optimization for Offshore Substation Maintenance: An application for the German and Dutch Offshore Transmission Grid

To convey the energy coming from offshore wind-farms to the end-users, a network of offshore transmission platforms with sub-sea cables is in place, functioning as the supply chain for electricity. This research addresses the development of an optimization model, OptiFleet, which targets the problem of vessel fleet management to perform the...

The Influence of Team-Technology Satisfaction on the Quality of Human Generated Data: A Case Study at Royal Vopak

In the light of the fourth industrial revolution, referred to as Industry 4.0, big data is becoming the key resource of modern companies. In order to safely harvest the potential benefits of the Industry 4.0, a high level of data quality is essential. Yet, modern companies experience poor data quality levels, mainly in human generated datasets....

On-line parameter updating as an optimisation tool for Decision Support Systems

Decision Support Systems (DSSs) that are used nowadays by water managers often predict states that do not correspond with the observed states. This is caused by changing parameters in the real systems, while the parameters used in the current DSSs are kept at a fixed level or follow a temporal pattern that does not always represents reality....