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Soliciting Human-in-the-Loop User Feedback for Interactive Machine Learning Reduces User Trust and Impressions of Model Accuracy
Our research investigates how the act of providing feedback can affect user understanding of an intelligent system and its accuracy.
The Role of Domain Expertise in User Trust and the Impact of First Impressions with Intelligent Systems
While it is also known that user trust can be influenced by first impressions with intelligent systems, our research explores the relationship between ordering bias and domain expertise when encountering errors in intelligent systems.
Don't Explain without Verifying Veracity: An Evaluation of Explainable AI with Video Activity Recognition
The explanations generated by these simplified models, however, might not accurately justify and be truthful to the model.
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