Artificial Intelligence (AI) has demonstrated its transformative potential across a wide range of applications. From improving medical diagnostics in healthcare to improving urban traffic flow for reduced emissions, AI offers significant societal benefits. In cybersecurity, AI-based algorithms can be used to detect and prevent cyberattacks. In the KISSHome research project, we explore the user-centric design of AI-based security software, leading to two potential areas for a Master's thesis.
1. To fully realize the potential of AI algorithms, large amounts of data must be provided. This often relies on users voluntarily sharing their personal data to improve algorithms for the collective benefit.
Research question: What factors influence users' willingness to share their data?
2. AI algorithms are often viewed as black boxes, which presents challenges for users in understanding their functionality. Effective user interface design can enhance the perceived effectiveness of the software.
Research question: What UI design factors influence the perceived effectiveness of AI-based software?
Important:
If you are interested in the thesis, please send me a current transcript and a short letter of motivation (why are you interested in this topic, 1/2 page). In a personal interview we can discuss the specific modalities and focus of the thesis according to your personal preferences.
