Algorithmic affordances—interactive mechanisms that allow users to exercise tangible control over algorithms—play a crucial role in recommender systems. They can facilitate users’ sense of autonomy, transparency, and ultimately ownership over a recommender’s results, all qualities that are central to …

Recommender systems (letterlijk vertaald 'aanbevelingssystemen') zijn de drijvende kracht achter aanbevelingen en feeds in onder andere webwinkels, streamingdiensten en sociale media. Deze aanbevelingen hebben grote invloed op welke artikelen we lezen of kopen, of welke meningen we horen. Echter, deze …

Presentatie van ons paper: Hardly any sliders in real-world apps: a library of algorithmic affordances to bridge the research-practice gap in Human-AI Interaction

Presentation for professionals in Design and information architecture on how to design for data-driven applications