Data collection is crucial in modern automotive engineering. Yet, the focus on technological development often overlooks legal, ethical, and privacy aspects. This feasibility study aims to bridge this knowledge gap for SMEs and research entities by examining the technical, legal, and ethical aspects …

Machine learning models have been an inevitable tool for analyzing medical images by radiologists. These models provide important information about the contents of these images using extracted radiomic features. However, the dimensionality of the feature space can cause reduction in the accuracy of prediction, …

The implementation of games in architecture and urban planning has a long history since the 1960s and is still a preferential tool to foster public participation and address contemporary spatial-and social-conflicts within the urban fabric. Moreover, in the last decade, we have seen the rise of urban …

Research demonstrated a large variety regarding effects of light (e.g. health, performance, or comfort effects). Since human health is related to each individual separately, the lighting conditions around these individuals should be analysed individually as well. This paper provides, based on a literature …

Design-based inquiries into the networked products of the Internet of Things (IoT) lack a coherent understanding of the effect of such products on society. This paper proposes a new taxonomy for networked products, which would allow articulation on their current state and future, and provide insights …

Participatory data collection relies on the commitment of the participants to report data continuously, which makes providing incentives to people crucial. In this case study, we describe how we designed a web app by using different incentive mechanisms to collect participatory data for monitoring community …