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Course Outline

Introduction to Multimodal AI and User Experience

  • How AI enhances the user experience
  • An overview of multimodal AI architectures

Interpreting Multimodal Data

  • Identifying types of multimodal data in interfaces
  • Methods for collecting and preprocessing multimodal data

Architecting Multimodal Interfaces

  • Core principles of multimodal UI/UX design
  • Selecting appropriate tools and frameworks for multimodal interfaces

Integrating Voice and Visual Recognition

  • Applications of voice recognition technologies
  • Utilizing visual recognition and processing in UIs

Incorporating Gestures and Facial Expressions

  • Technological approaches to gesture recognition
  • Integrating facial expression analysis into user interfaces

Building Adaptive and Responsive UIs

  • Designing interfaces that respond dynamically to user context
  • Reviewing case studies of adaptive multimodal UIs

Ethics and Privacy in Multimodal AI

  • Applying ethical design principles to multimodal systems
  • Addressing privacy and data protection concerns

Practical Project and Evaluation

  • Designing, building, and troubleshooting a basic multimodal UI
  • Assessment and constructive feedback

Recap and Future Directions

Requirements

  • Foundational knowledge of AI and machine learning
  • Practical experience in user interface design
  • Proficiency in Python and JavaScript

Target Audience

  • UX/UI designers
  • Front-end developers
  • Product managers
 21 Hours

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