Course Outline
Introduction to Multimodal Interfaces
- Defining multimodal interfaces
- Advantages and challenges of multimodal interactions
- Practical applications across various industries
Multimodal AI and Human-Computer Interaction
- Exploring human-centered AI design approaches
- Core AI technologies enabling multimodal interfaces
- Psychological and cognitive factors in human-AI collaboration
Speech Recognition and Natural Language Processing (NLP)
- Technologies for speech-to-text and text-to-speech conversion
- Utilizing OpenAI's Whisper or Mozilla DeepSpeech
- Enhancing voice interactions powered by AI
Gesture Recognition and Motion Tracking
- Understanding body gestures and hand tracking
- Incorporating gesture control into UI design
- Practical work with open-source gesture recognition libraries
Eye Tracking and Gaze-Based Interaction
- Overview of eye-tracking technology
- Applications in accessibility and adaptive interfaces
- Building systems for gaze-based input
Multimodal Fusion: Integrating Multiple Input Methods
- How AI synthesizes speech, gestures, and visual data
- Creating adaptive and personalized AI interactions
- Best practices for seamless multimodal experiences
Prototyping and Implementing Multimodal Interfaces
- Designing intuitive AI-powered interfaces
- Prototyping multimodal interactions using Figma and AI tools
- Developing real-world applications with Python and AI frameworks
Testing and Evaluating Multimodal Interfaces
- Methodologies for usability testing in multimodal AI
- Measuring user experience and satisfaction levels
- Refining and optimizing AI-driven interactions
Future Trends in Human-AI Collaboration
- Progress in multimodal AI and deep learning
- Emerging shifts in human-computer interaction
- The evolving role of AI in shaping user experiences
Summary and Next Steps
Requirements
- A fundamental grasp of AI and machine learning concepts
- Knowledge of UI/UX design principles
- Prior experience in programming (Python is preferred)
Target Audience
- UI/UX designers
- Product managers
- AI researchers
Testimonials (1)
Our trainer, Yashank, was incredibly knowledgeable. He modified the curriculum to match what we truly needed to learn, and we had a great learning experience with him. His understanding of the domain he was teaching was impressive; he shared insights from real experience and helped us solve actual problems we were facing in our work.
