Soliciting Human-in-the-Loop User Feedback for Interactive Machine Learning Reduces User Trust and Impressions of Model Accuracy.
Donald R. HoneycuttMahsan NouraniEric D. RaganPublished in: HCOMP (2020)
Keyphrases
- user feedback
- user interaction
- machine learning
- relevance feedback
- learning algorithm
- user preferences
- user profiles
- interactive retrieval
- user involvement
- user actions
- feedback information
- user behavior
- supervised learning
- probabilistic model
- active learning
- reinforcement learning
- similarity measure
- metadata
- artificial intelligence