Göbel K, Niessen C, Seufert S, Schmid U (2022)
Publication Type: Journal article
Publication year: 2022
Book Volume: 5
Article Number: 919534
In the digital age, saving and accumulating large amounts of digital data is a common phenomenon. However, saving does not only consume energy, but may also cause information overload and prevent people from staying focused and working effectively. We present and systematically examine an explanatory AI system (Dare2Del), which supports individuals to delete irrelevant digital objects. To give recommendations for the optimization of related human-computer interactions, we vary different design features (explanations, familiarity, verifiability) within and across three experiments (N
APA:
Göbel, K., Niessen, C., Seufert, S., & Schmid, U. (2022). Explanatory machine learning for justified trust in human-AI collaboration: Experiments on file deletion recommendations. Frontiers in Artificial Intelligence, 5. https://doi.org/10.3389/frai.2022.919534
MLA:
Göbel, Kyra, et al. "Explanatory machine learning for justified trust in human-AI collaboration: Experiments on file deletion recommendations." Frontiers in Artificial Intelligence 5 (2022).
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