Description

Introduction

Agentic AI systems—autonomous, goal-driven, and context-aware—are reshaping how humans interact with machines. Unlike traditional AI models that simply respond to inputs, agentic systems initiate actions, pursue goals, and collaborate dynamically with human users. This course explores the evolving nature of human-AI interaction (HAI) in agentic environments, focusing on usability, trust, communication, decision support, and human-centered design.

Prerequisites

• Basic understanding of AI/LLMs and intelligent agents

• Familiarity with user interface (UI/UX) or human-computer interaction (HCI) concepts

• Interest in AI design, product development, or cognitive science

• Optional: Experience with conversational interfaces, agent frameworks, or human factors research

Table of Contents

1. Introduction to Human-AI Interaction in Agentic Contexts
1.1 From Command-Based Interfaces to Interactive Agents
1.2 Principles of Human-AI Collaboration
1.3 Design Goals for Agentic AI Interfaces

2. Communication and Coordination
2.1 Natural Language as Interface
2.2 Shared Context and Goal Alignment
2.3 Multimodal and Multi-turn Interactions

3. Trust, Transparency, and Control
3.1 Calibrating User Trust in Agent Behavior
3.2 Explainability and Interpretable Outputs
3.3 Human Override, Monitoring, and Feedback Loops

4. Adaptive Interaction Design
4.1 Personalization and User Modeling
4.2 Context-Aware and Proactive Behavior
4.3 Managing Uncertainty and Misunderstandings

5. UX Patterns for Agentic Systems
5.1 Dialogue Design for Autonomy
5.2 Mixed-Initiative Interaction Models
5.3 Interfaces for Multi-Agent Coordination

6. Human-Centered Evaluation of Agentic AI
6.1 Usability Testing for Autonomous Interfaces
6.2 Cognitive Load and User Satisfaction
6.3 Metrics for Trust, Safety, and Collaboration

7. Ethics and Inclusion in HAI Design
7.1 Preventing Bias in Agentic Interaction
7.2 Inclusive Design for Diverse Populations
7.3 Respecting User Autonomy and Agency

8. Applications and Case Studies
8.1 Agents in Customer Support, Healthcare, and Education
8.2 Companion Agents and Assistive Technologies
8.3 Multi-Agent HAI Scenarios in Enterprise Tools

As Agentic AI systems evolve from tools to collaborators, designing meaningful and effective human-AI interactions becomes essential. This course equips learners to create experiences where agents are not only intelligent but intuitive, transparent, and respectful of human goals. Future-ready HAI design is central to the success of agentic systems in real-world environments.