Resemblance relations for cognitive systems

To build a cognitive system, it is crucial to develop a memory in the form of a knowledge base from which the system is able to retrieve information as a human being would. A potential approach is to use resemblance relations. With the help of this technique, the system will be able to find similar information, even if at first sight the connection is not immediately obvious. Based on fuzzy logic, it is possible to build knowledge maps (e.g., fuzzy cognitive maps or neural networks) in which nodes would be connected through edges/connectors.

Privacy Dashboard for Social Networks

The goal of the project will be to design and develop a ‘privacy dashboard’ for a user’s social network applications that gives a user an overview of possible privacy settings in the various social networks they are signed in to and an overview of their current personal settings in a way that helps user both understand the privacy options available to them, and to easily manage their privacy settings.

Matching smart home data exploitation results with users' real behaviour

Home-based digital devices increasingly record data and send it to cloud services (vacuum robot data for sale). Beyond the obvious privacy problem, there are open questions of how this data matches with the self-representation users have of their own behaviour, or even the degree to which the interpretation of the data faithfully represents their actual behaviour.

Autonomous vehicles and us : human-AV interaction design


The coordination of traffic on public roadways relies on the cooperation between road users. This  requires abilities to negotiate next moves, particularly in highly busy areas like cities or mixed pedestrian-vehicle zones. Therefore, the successful coordination of traffic between human road users and autonomous vehicles (AV) implies mutual comprehension and capacity to negotiate. This is a open and vivid current challenge in AV research.

Explaining and Encouraging Shifting as a Way to Reduce One’s Carbon Footprint

When most people are asked ‘How can you reduce your carbon footprint?’, the answer is along the lines of ‘By not doing X, Y and Z, or by doing less of A, B, and C.’ Few people know that the question of CO2 emissions and carbon footprints is much more fine-grained than that, and that it’s in fact possible to reduce carbon emissions simply by doing certain activities at a different time, for example, using electronic devices at times when the electricity comes form renewable resources such as solar panels.

Evaluating experience sampling techniques in large scale mobile comfort perception sensing

Maintaining comfort is the purpose of buildings and energy is often needed for it. With more and more severe energy efficiency requirements and ever increasing building automation to achieve it, there is a need to gather the actual comfort sensation of building users, to optimise buidling control.

Yet comfort sensation is a subjective perception, that shows high variability among users, depending on their activity, their clothing, their environement, etc. The experience sampling approach allows to gather user perception about a given while they go about their normal doings.

Detecting and Reducing Interruptions at Work

It has been shown that human interruptions are one of the many factors affecting workflow and productivity. Our research question is: can an interactive device with ambient visualization lower the number of human interruptions when workers do not want to be interrupted?

Visualizing the user in the building data

With the advent of Big Data, the means of collecting data have been improved in the last decade. However, the extraction of information out of it becomes more and more difficult; the danger of getting lost in data increases.

The combination of Human Computer Interaction and information visualization has the potential to let humans explore data sets interactively to discover unforeseen patterns, for instance detecting failures in systems or understanding specific optimization potential.

Detection and Visualization of Human-Human and Human-Artifact interactions using proximity sensors

Interactions amongst humans (such as conversations) and interactions with various artifacts within the living or working environment are frequent and informative. These interactions when situated within the context of buildings, can assist researchers to comprehend the ongoing activity, and thus model human living behavior and design technologies that can enhance the living experience of individuals.