4 papers
Treating symptoms or root causes: How does information about causal mechanisms affect interventions?
Romy Müller
When deciding how to solve complex problems, it seems important not only to know whether an intervention is helpful but also to understand why. Therefore, the present study investi…
When concept-based XAI is imprecise: Do people distinguish between generalisations and misrepresentations?
Romy Müller
Concept-based explainable artificial intelligence (C-XAI) can let people see which representations an AI model has learned. This is particularly important when high-level semantic…
How humans evaluate AI systems for person detection in automatic train operation: Not all misses are alike
Romy Müller
If artificial intelligence (AI) is to be applied in safety-critical domains, its performance needs to be evaluated reliably. The present study aimed to understand how humans evalua…
Beyond object identification: How train drivers evaluate the risk of collision
Romy Müller, Judith Schmidt
When trains collide with obstacles, the consequences are often severe. To assess how artificial intelligence might contribute to avoiding collisions, we need to understand how trai…