Generative AI is changing not only what information people find, but how they search for it and what they do with the answers. The first systematic empirical studies of these behaviours are only a year or two old, and their findings are often limited to a single platform, task set or population, and sometimes point in different directions. This research seminar, taught jointly to BA students (information science, media informatics) and MSc students (human-centred AI), introduces this emerging literature through lectures, reading groups and an interactive session in which students examine their own search behaviour. Students then identify gaps in the evidence, form research groups, and carry out their own small empirical study, such as a user study, survey or simulation, with continuous supervision and pre-registration of their plans. BA projects apply established methods to a focused, well-motivated question and are written up as a four-page short paper. MSc projects are theory-driven, adequately powered and analysed with advanced statistical methods, and are written up as a six-page paper reflecting a broader command of the literature. By the end of the course, students will be able to critically evaluate research on human-AI information interaction, design and justify a study, and report it transparently in conference paper format.
