How Brain Research is Influencing the Development of Artificial Intelligence

Over the last couple of decades, the relationship between neuroscience and artificial intelligence (AI) has borne promising approaches to increasing human’s abilities paving the way for a delightful future of human-machine collaboration. A recent research paper goes deep into neural representations utilized for human planning. Scientists were interested in the hippocampus, the part of the …

Exploring SYMBIOTIK’s Security and Privacy Assurance Platform

ENISA’s latest Threat Landscape reports reveals a rising trend in sophisticated and targeted attacks in critical sectors like energy and healthcare. Hybrid threats, which combine cyber and physical elements, are also becoming more prevalent. In response to this changing threat landscape, EU Member States, and their Operators of Essential Services (OES) are now required to meet a …

Revolutionizing Security Operations Centers (SOCs) with SYMBIOTIK

In an era where digital technologies permeate every aspect of society and the economy, cybersecurity has emerged as a critical concern. The proliferation of cyber threats poses significant risks to organizations, jeopardizing not only their digital infrastructure but also their long-term objectives and fundamental freedoms. As these threats become increasingly sophisticated and diverse, the need …

The Future of Brain-Computer Interfacing for Information Visualization

Conventionally, control of computing devices has been done through manual interaction, mostly in the form of using a  mouse and keyboard. As technology evolves we observe additional ways of interacting with the machine, i.e. motion sensors, speech recognition, eye tracking etc, enhancing the capabilities and experience of the user. The next step to this evolution …

Customization of Dashboard User Interfaces by the Decision Maker

We are happy to report that Julien De Meyer successfully presented his Master of Business Administration (MBA) thesis entitled “Customization of Dashboard User Interfaces by the Decision Maker” at Louvain School of Management (LSM), Université catholique de Louvain, under the supervision of Jean Vanderdonckt, in collaboration with AEGIS in the context of the SYMBIOTIK project. …

Signal Processing in Brain Computer Interfaces

Brain Computer Interfaces (BCIs) may revolutionize the way humans interact with computers by establishing a direct communication pathway with our brains. At the core of these interfaces there is signal processing, which plays a pivotal role in extracting valuable information from brain activity. In this post, we delve into the fascinating world of signal processing …

How InfoVis improves decision-making

In today’s fast paced and fast changing world, making quick and informed decisions for resolving challenges is essential. This requires a solid understanding and knowledge about a specific topic, be it financial, business related, medical, or for security reasons. Decision making is the process of making choices by identifying a need, gathering information, and assessing …

Unlocking the Synergy: The Interplay of AI, Neuroscience, and Psychology

Recent advancements in Artificial Intelligence (AI), particularly in Natural Language Processing (NLP) and Computer Vision (CV), have brought us closer to emulating and even surpassing human capabilities. The development of transformer neural architectures like chatGPT and latent diffusion models like MidJourney has had a profound impact on the field. The rapid progress of AI has …

Evolution of Adaptive GUI Layouts over Time

Adaptive User Interfaces (AUIs) are those user interfaces, mostly graphical, that can adapt themselves (Findlater and Gajos, 2009) depending on varying conditions from the end user (e.g., preferences), the platform (e.g., the screen resolution), or the environment (e.g., a noise level or a location). In this area, adaptive layout refers to the ability of a …

Socio-demographic aspects of adaptive user interfaces

Adaptive User Interfaces (AUIs), a well-known research sub-field within Intelligent User Interfaces (IUIs), were defined by Maybury (1999) as “human-computer interfaces that aim to improve the efficiency, effectiveness, and naturalness of interaction by representing, reasoning, and acting on models of the user, domain, task, discourse, and media (e.g., graphics, natural language, gesture)”. User interface adaptation …