47 citations · 120 across the 10 of their papers we have counts for
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cs.HC2020★ 47 cited
Middle-Aged Video Consumers' Beliefs About Algorithmic Recommendations on YouTube
Oscar Alvarado, Hendrik Heuer, Vero Vanden Abeele +2
User beliefs about algorithmic systems are constantly co-produced through user interaction and the complex socio-technical systems that generate recommendations. Identifying these…
cs.HC2020★ 1 cited
How Fake News Affect Trust in the Output of a Machine Learning System for News Curation
Hendrik Heuer, Andreas Breiter
People are increasingly consuming news curated by machine learning (ML) systems. Motivated by studies on algorithmic bias, this paper explores which recommendations of an algorithm…
cs.HC2020★ 8 cited
More Than Accuracy: Towards Trustworthy Machine Learning Interfaces for Object Recognition
Hendrik Heuer, Andreas Breiter
This paper investigates the user experience of visualizations of a machine learning (ML) system that recognizes objects in images. This is important since even good systems can fai…