An adaptive user interface based on personalized learning

This adaptive user interface provides individualized, just-in-time assistance to users by recording user interface events and frequencies, organizing them into episodes, and automatically deriving patterns. It also builds, maintains, and makes suggestions based on user profiles.

Authors

• Jiming Liu
• Chi Kuen Wong
• Ka Keung Hui

Keywords

• User interfaces
• Pattern recognition
• Application software
• Software systems
• Information analysis
• Data mining
• Keyboards
• Displays
• Change detection algorithms
• Event detection
• Individual Learning
• Adaptive Interface
• Adaptive User Interface
• Behavioral Patterns
• User Behavior
• User Profile
• Confidence Threshold
• Threshold Test
• Frequency Of Episodes
• Frequency Threshold
• Usage Intention
• Number Of Suggestions
• Occurrence Of Episodes