3 papers
cs.HC2026
Ranking Companion: A Visual Analytics Approach to Item-Based Ranking with Hybrid Item Selection
Aman Kumar, Maximilian Tornow, Michaela Benk +2
Personalizing item ranking creation is a challenging task, especially when users lack knowledge of data attributes or the ability to express and formalize their attribute preferenc…
cs.HC2026
Same Performance, Hidden Bias: Evaluating Hypothesis- and Recommendation-Driven AI
Michaela Benk, Tim Miller
The HCI community commonly evaluates decision support systems based on whether they improve task performance or promote appropriate user reliance. In this work, we look beyond deci…
cs.HC2024
Twenty-Four Years of Empirical Research on Trust in AI: A Bibliometric Review of Trends, Overlooked Issues, and Future Directions
Michaela Benk, Sophie Kerstan, Florian v. Wangenheim +1
Trust is widely regarded as a critical component to building artificial intelligence (AI) systems that people will use and safely rely upon. As research in this area continues to e…