Have you ever wondered how using ChatGPT or another Generative AI (GenAI) tool affects your thinking? Does it make your work easier, or does it actually increase your stress? In this thesis, you will join a research project investigating exactly this.

The thesis will focus on a controlled laboratory study in which participants complete a sequence of knowledge work tasks under different conditions (with and without GenAI assistance). Tasks will vary in difficulty and type, including creative tasks, information retrieval and processing tasks, and decision-support tasks. The project aims to examine both how GenAI affects users' cognitive load, stress, and fatigue over time and how increasing fatigue subsequently shapes users' interactions with GenAI systems, including prompting behaviour, reliance, and trust. We will use wearable electroencephalography (EEG) and eye tracking devices to get insights into the participants’ brain activity using biosignal data.

You will primarily contribute to experiment design, data collection, data processing, and statistical analysis, but will also read related literature to develop a solid understanding of relevant research in Human-Computer Interaction (HCI), cognitive load, mental fatigue, human-AI collaboration, and knowledge work.

So if you are interested in human-AI interaction, the psychological aspects of technology use, conducting a laboratory study with brain data, or similar topics, this might be the thesis for you!

You should have some experience with Python programming and data analysis. Experience with experimental studies is beneficial but not required.

Work on the thesis can begin immediately. If you are interested, please send an e-mail to lukas.schick∂kit.edu  with your current transcript of records attached.