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Starts 6 June 2026 13:43

Ends 6 June 2026

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Conversational AI: Human-Centric Interaction through HCI and NLP

Join us in this insightful exploration of how Human-Computer Interaction (HCI) meets Natural Language Processing (NLP) to shape the future of Conversational AI. This course delves into the intricacies of dialogue systems and the nuances of voice assistant design, all while considering the ethical dimensions that guide these technological adv.
NPTEL-NOC IITM via YouTube

NPTEL-NOC IITM

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Overview

Join us in this insightful exploration of how Human-Computer Interaction (HCI) meets Natural Language Processing (NLP) to shape the future of Conversational AI. This course delves into the intricacies of dialogue systems and the nuances of voice assistant design, all while considering the ethical dimensions that guide these technological advancements across a variety of practical applications.

Provided by YouTube, this course falls under both Artificial Intelligence Courses and Computer Science Courses, offering valuable perspectives for students, professionals, and enthusiasts eager to dive into the world of AI-driven communication technologies.

Unlock the potential to transform human-centric interactions through this engaging and informative course.

Syllabus

  • Introduction to Conversational AI
  • Overview of Conversational AI
    Historical Context and Impact
    Key Components: HCI and NLP
  • Human-Computer Interaction (HCI) Principles
  • Fundamentals of HCI
    Designing User-Centric Interfaces
    Usability and Accessibility
  • Natural Language Processing (NLP) Basics
  • Core Concepts in NLP
    Linguistic Structures and Processing
    Language Models and Tokenization
  • Dialogue Systems
  • Types of Dialogue Systems: Task-Oriented vs. Open-Domain
    Dialogue Management and State Tracking
    Context and Intent Understanding
  • Voice Assistant Design
  • Anatomy of Voice Assistants
    Speech Recognition Technologies
    Text-to-Speech Synthesis
  • Humanizing Conversational Agents
  • Emotional Intelligence and Sentiment Analysis
    Personalization and User Adaptation
    Building Trust and Rapport
  • Ethical Considerations in Conversational AI
  • Privacy and Data Security
    Bias and Fairness
    Transparency and Explainability
  • Applications of Conversational AI
  • Customer Support and Service Automation
    Healthcare and Assistive Technologies
    Educational Tools and Virtual Tutors
  • Future Trends and Research Directions
  • Emerging Technologies in Conversational AI
    Challenges and Opportunities
    The Future of Human-AI Interaction
  • Project and Evaluation
  • Practical Implementation of a Conversational Agent
    User Testing and Feedback Analysis
    Final Presentation and Peer Review

Subjects

Computer Science