Know What Not To Know: Users’ Perception of Abstaining Classifiers

Author:

Papenmeier Andrea1ORCID,Hienert Daniel2ORCID,Kammerer Yvonne3ORCID,Seifert Christin4ORCID,Kern Dagmar5ORCID

Affiliation:

1. University of Duisburg-Essen, Germany and University of Twente, Netherlands

2. GESIS - Leibniz Institute for the Social Sciences, Germany

3. Hochschule der Medien, Germany

4. University of Duisburg-Essen, Germany and University of Marburg, Germany

5. GESIS - Leibniz-Institute for the Social Sciences, Germany

Publisher

ACM

Reference22 articles.

1. Nuclear power plants transient diagnostics using LVQ or some networks don't know that they don't know

2. Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty

3. The Role of Explanations on Trust and Reliance in Clinical Decision Support Systems

4. César Ferri and José Hernández-Orallo . 2004 . Cautious Classifiers. In 1st workshop on ROC analysis in artificial intelligence (ROCAI-2004) , José Hernández-Orallo, César Ferri, Nicolas Lachiche, and Peter A. Flach (Eds.). ACM, New York, USA, 27–36. César Ferri and José Hernández-Orallo. 2004. Cautious Classifiers. In 1st workshop on ROC analysis in artificial intelligence (ROCAI-2004), José Hernández-Orallo, César Ferri, Nicolas Lachiche, and Peter A. Flach (Eds.). ACM, New York, USA, 27–36.

5. B.  J. Fogg and Hsiang Tseng. 1999. The Elements of Computer Credibility . In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems(CHI ’99) . ACM, New York, USA, 80–87. https://doi.org/10.1145/302979.303001 10.1145/302979.303001 B. J. Fogg and Hsiang Tseng. 1999. The Elements of Computer Credibility. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems(CHI ’99). ACM, New York, USA, 80–87. https://doi.org/10.1145/302979.303001

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