Overview
Explore the intersection of HCI and NLP in conversational AI, covering dialogue systems, voice assistant design, and ethical considerations across various applications.
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
Taught by
Tags
On-Demand
