Exploring users, roles, and explanations in real-world contexts (Project B03)

Where and how do people of different age, gender, and social backgrounds encounter artificial intelligence (AI) in their everyday lives and how do they perceive it? In order to answer this and other questions, researchers from the field of media studies and sociology affiliated to project B03 will draw on information provided by study participants via an app in which they document their daily interactions with various artificial intelligence technologies (such as digital assistance systems, health apps, and social media). Based on the data collected, the researchers will identify users' specific needs for AI explanations in order to determine specific expectations, needs and challenges of different user groups when it comes to explainable - and therefore successful – AI.


Finke, J., Horwath, I., Matzner, T., Schulz, C. (2022). (De)Coding Social Practice in the Field of XAI: Towards a Co-constructive Framework of Explanations and Understanding Between Lay Users and Algorithmic Systems. In: Degen, H., Ntoa, S. (eds) Artificial Intelligence in HCI. HCII 2022. Lecture Notes in Computer Science(), vol 13336. Springer, Cham. https://doi.org/10.1007/978-3-031-05643-7_10


Schulz, C. (2022). A new algorithmic imaginary. Media, Culture & Society. https://doi.org/10.1177/01634437221136014

In this video the project leaders present their view of co-construction.
Research areas

sociology, media studies

Project leaders

Jun. Prof. Dr. Ilona Horwath, Paderborn  University

Prof. Dr. Tobias Matzner, Paderborn University


Christian Schulz, Paderborn University

Associate member

Lea Biere, Paderborn University

Support Staff

Esma Gökal, Paderborn University

Merle Mahne, Paderborn University