We examine the ideological differences in the debate surrounding large language models (LLMs) and AI regulation, focusing on the contrasting positions of the Future of Life Institute (FLI) and the Distributed AI Research (DAIR) institute. The study employs a humanistic HCI methodology, applying narrative …

Predictive maintenance is the promise of the future in infrastructure asset management. Predictive maintenance more and more uses sensor data. Sensors are relatively cheap, and their data mostly comes in huge quantities. Trends or flags may be observed in the data, sometimes with traditional statistical …

B4B is a multi-year, multi-stakeholder project focused on developing methods to harness big data from smart meters, building management systems and the Internet of Things devices, to reduce energy consumption, increase comfort, respond flexibly to user behaviour and local energy supply and demand, and …

This paper describes Ivy, an office chair that represents sitting time of an office worker through growing ivy strands. The longer one sits, the more strands will grow onto the chair. By means of a qualitative interface called Ivy, we illustrate a design approach that is currently underrepresented in …

The Wavetek 75 is a programmable function generator that is used at Altran for generating arbitrary analog signals for various tests. The target for this project is to replace the Wavetek 75 with a device that simplifies defining an arbitrary signal. The Wavetek is outdated and it is very difficult to …

This thesis is about my assignment to simplify a complex software product called RadiMation®. RadiMation® is an application, written in C++, and is used to automate a range of EMC testing. This document also has the purpose of providing information about how the interfaces and device drivers within …

Introduction: Sensor-feedback systems can be used to support people after stroke during independent practice of gait. The main aim of the study was to describe the user-centred approach to (re)design the user interface of the sensor feedback system “Stappy” for people after stroke, and share the deliverables …

When engaging in social interaction, people rely on their ability to reason about unobservable mental content of others, which includes goals, intentions, and beliefs. This so-called theory of mind ability allows them to more easily understand, predict, and influence the behavior of others. People even …

This essay reports on a research project aiming at validation of a concept for an Al-driven speech interface for smart services in public spaces. The research team created a simple experience prototype that simulated the envisioned functionality and was used to experiment with subjects in dialogues. …

This report explores what the best way is to visualize the modelling workflow of a digital twin. The digital twin is a digital replica of a physical plant and can be beneficial for building, maintaining, operating and training. The visualization helps to convince parties such as the management department …