Interactive intelligent systems are computational systems designed to dynamically interact with humans, and vice versa. Often, such systems are powered by artificial intelligence and other advanced technologies to respond to user inputs, learn from interactions, and improve their performance over time.

In our research group, we integrate research on intelligent technologies, the interaction of humans with intelligent systems, and their interplay. In this field, our key expertise lies in recommender systems and human-AI interaction in its broader sense.

In our research group, we investigate the full spectrum of recommender systems and human-AI interaction: from (i) investigating humans’ needs of how such systems function to (ii) measuring the implications of these systems. This also includes (iii) evaluating their algorithmic performance, analyzing biases, or studying trust issues, and (iv) improving algorithmic approaches to better align with those needs.