Urban densification is promoted for sustainable urban growth, yet it also generates concerns about negative health impacts on local citizens. Engaging local citizens in the co-design of densification projects is therefore crucial to address their needs and concerns. The use of immersive Virtual Reality …

Citizen science can be a powerful approach to foster the successful implementation of technological innovations in health, care or well-being. Involving experience experts as co-researchers or co-designers of technological innovations facilitates mutual learning, community building, and empowerment. …

This research report investigates the challenges and opportunities in improving the findability of cultural heritage datasets for social science and humanities (SSH) researchers, focusing on the SSHOC-NL project and Task 2.3. The study employs a mixed-methods approach, combining user interviews, technical …

This save-system is vital to the Traingineers project, but due to the chaotic development cycle of the project, it has not yet been implemented. Traingineers started off as a prototype. After this prototype was accepted another one was made, reusing the old code, and then again. Through multiple re-iterations …

Worldwide, including Indonesia and the EU, current (agricultural) use in peatlands is based on massive water drainage. Because drainage leads to environmental problems, many scholars, policy makers and (agricultural) entrepreneurs are rethinking peatland use, aiming for more sustainable peatland management, …

Algorithmic affordances are defined as user interaction mechanisms that allow users tangible control over AI algorithms, such as recommender systems. Designing such algorithmic affordances, including assessing their impact, is not straightforward and practitioners state that they lack resources to design …

This exploratory study investigates the rationale behind categorizing algorithmic controls, or algorithmic affordances, in the graphical user interfaces (GUIs) of recommender systems. Seven professionals from industry and academia took part in an open card sorting activity to analyze 45 cards with examples …

The user’s experience with a recommender system is significantly shaped by the dynamics of user-algorithm interactions. These interactions are often evaluated using interaction qualities, such as controllability, trust, and autonomy, to gauge their impact. As part of our effort to systematically categorize …

In flexible education, recommender systems that support course selection, are considered a viable means to help students in making informed course selections, especially where curricula offer greater flexibility. However, these recommender systems present both potential benefits and looming risks, such …

Design schools in digital media and interaction design face the challenge of integrating recent artificial intelligence (AI) advancements into their curriculum. To address this, curricula must teach students to design both "with" and "for" AI. This paper addresses how designing for AI differs from designing …