Exploring the impact of classification probabilities on users' trust in ambiguous instances
2021 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)(2021)
摘要
The large-scale adoption of systems that automate classifications using Machine Learning (ML) algorithms raises pressing challenges as they support or make decisions with profound consequences for human beings. It is important to understand how users' trust is affected by ML models' suggestions, even when those models are wrong. Many research efforts have focused on the user's ability to interpret...
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关键词
Visualization,Analytical models,Machine learning algorithms,Computational modeling,Data visualization,Pressing,Machine learning
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