| Description | AI computing can be applied for HCI and Disabled User Support, such as:
• Voice Assistants
• Speech Recognition
• Predictive Text and Auto-correct
• Gaze Tracking
• Facial expressions Recognition
• Gesture Recognition
• Predictive Contextual User Interfaces
• Virtual Reality and Augmented Reality
• Machine Learning for Personalization
• Emotion Recognition
• Sensory Feedback
• Content Understanding and Summarization
• AI describing images / visual content
• Learn and adapt to the specific needs and preferences
• Real-time support for cognitive impairments, memory assistance, decision-making guidance
• Convert digital content into Braille
• Digital interfaces for navigating physical spaces
• Health Support ICT
• AI predict actions, streamlining interaction process, planning support
• Analyze interactions to identify areas for improvement
• Converting information from one sensory modality to another
• Assistive Technologies: screen readers, text-to-speech, speech-to-text
• Eye-Tracking
• Personalized Recommendations
• Education and Learning Support
• Cognitive Assistance: reminders, creating task lists, support for time management
• Accessibility Testing and Compliance for web / app
• Predictive Maintenance
• Policy, protocol, standard analysis with NLP and text analysis
• Health Monitoring
• Sensory Enhancement, Substitution, Assistive Communication
• Augmented and Alternative Communication
• Interaction, Mobility Support |
|---|