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Course Outline

Introduction to Multimodal Interfaces

  • What constitutes multimodal interfaces?
  • Advantages and challenges associated with multimodal interactions.
  • Practical applications across various industries.

Multimodal AI and Human-Computer Interaction

  • Understanding human-centred AI design.
  • Core AI technologies that enable multimodal interfaces.
  • Psychological and cognitive aspects of human-AI collaboration.

Speech Recognition and Natural Language Processing (NLP)

  • Speech-to-text and text-to-speech technologies.
  • Utilizing OpenAI's Whisper or Mozilla DeepSpeech.
  • Enhancing voice interactions driven by AI.

Gesture Recognition and Motion Tracking

  • Understanding hand tracking and body gestures.
  • Integrating 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.
  • Developing gaze-based input systems.

Multimodal Fusion: Integrating Multiple Input Methods

  • How AI combines speech, gestures, and visual data.
  • Creating adaptive and personalized AI interactions.
  • Best practices for delivering seamless multimodal experiences.

Prototyping and Implementing Multimodal Interfaces

  • Designing user-friendly, AI-powered interfaces.
  • Prototyping multimodal interactions using Figma and AI tools.
  • Developing real-world applications using Python and AI frameworks.

Testing and Evaluating Multimodal Interfaces

  • Usability testing methodologies for multimodal AI.
  • Measuring user experience and satisfaction levels.
  • Refining and optimizing AI-driven interactions.

Future Trends in Human-AI Collaboration

  • Advancements in multimodal AI and deep learning.
  • Emerging trends in human-computer interaction.
  • The evolving role of AI in the future of user experience.

Summary and Next Steps

Requirements

  • Foundational knowledge of AI and machine learning concepts.
  • Familiarity with UI/UX design principles.
  • Some programming experience (Python is preferred).

Target Audience

  • UI/UX designers.
  • Product managers.
  • AI researchers.
 14 Hours

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 2600 € + VAT*

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