Can Users Correctly Interpret Machine Learning Explanations and Simultaneously Identify Their Limitations?
Yueqing XuanEdward SmallKacper SokolDanula HettiachchiMark SandersonPublished in: CoRR (2023)
Keyphrases
- machine learning
- data mining
- end users
- information retrieval
- reinforcement learning
- social media
- neural network
- user experience
- recommender systems
- user interaction
- novice users
- machine learning methods
- learning tasks
- inductive learning
- user feedback
- user requirements
- machine learning approaches
- multiple users
- user interface
- data analysis
- knowledge acquisition
- transfer learning
- natural language processing
- supervised learning
- information extraction
- mobile applications
- pattern recognition
- social networks
- artificial intelligence
- learning algorithm