12 citations · 32 across the 7 of their papers we have counts for
4 papers · 1 filter
Information acquisition in Adapt/Exchange decisions: When do people check alternative solution principles?
Romy Müller, Maria Pohl
Many problems can be solved in two ways: either by adapting an existing solution, or by exchanging it for a new one. To investigate under what conditions people consider new soluti…
The benefits and costs of explainable artificial intelligence in visual quality control: Evidence from fault detection performance and eye movements
Romy Müller, David F. Reindel, Yannick D. Stadtfeld
Visual inspection tasks often require humans to cooperate with AI-based image classifiers. To enhance this cooperation, explainable artificial intelligence (XAI) can highlight thos…
Interpretability is in the eye of the beholder: Human versus artificial classification of image segments generated by humans versus XAI
Romy Müller, Marius Thoß, Julian Ullrich +2
The evaluation of explainable artificial intelligence is challenging, because automated and human-centred metrics of explanation quality may diverge. To clarify their relationship,…
Do humans and Convolutional Neural Networks attend to similar areas during scene classification: Effects of task and image type
Romy Müller, Marcel Dürschmidt, Julian Ullrich +3
Deep Learning models like Convolutional Neural Networks (CNN) are powerful image classifiers, but what factors determine whether they attend to similar image areas as humans do? Wh…