Admission Open

Human-Computer Interaction in Mianwali

Human-Computer Interaction Course Outline
I. Introduction to Human-Computer Interaction
Overview of HCI

Definition and scope of HCI
Importance of HCI in design and development
Historical development and evolution of HCI
Foundations of HCI

Principles of usability and user experience (UX)
Human factors and cognitive psychology in HCI
Interaction design goals and methodologies
Ethical and Social Implications

Ethical considerations in HCI research and design
Privacy concerns and data protection
Accessibility and inclusivity in interface design
II. Understanding Users and Context
User-Centered Design

User research methods (interviews, surveys, personas)
Contextual inquiry and ethnographic studies
Design thinking and ideation techniques
Cognitive Models and Mental Models

Human cognitive processes (perception, attention, memory)
Mental models and conceptual models in interface design
Predictive modeling and user behavior analysis
Task Analysis and Modeling

Task analysis techniques (Hierarchical Task Analysis, Cognitive Walkthrough)
Use case scenarios and user stories
Workflow modeling and system mapping
III. Interaction Design Principles
Interface Design Basics

Visual hierarchy and information architecture
Gestalt principles of perception
Typography and color theory in interface design
Responsive and Adaptive Design

Designing for different devices and screen sizes
Fluid grids and flexible layouts
Media queries and progressive enhancement
Navigation and Wayfinding

Navigation design patterns (breadcrumb, tabs, hamburger menu)
Search and filtering mechanisms
Spatial and temporal consistency
IV. Interaction Techniques and Technologies
Input and Output Modalities

Types of input devices (mouse, keyboard, touchscreens)
Voice and gesture-based interaction
Augmented reality (AR) and virtual reality (VR) interfaces
Multi-modal Interfaces

Combining multiple input/output modalities
Challenges and opportunities in multi-modal interaction
Natural language processing and conversational interfaces
Accessibility and Assistive Technologies

Designing for accessibility (WCAG guidelines)
Assistive technologies (screen readers, alternative input devices)
Inclusive design principles and practices
V. Evaluation and Usability Testing
Usability Principles and Heuristics

Nielsen’s usability heuristics
ISO standards for usability evaluation
Evaluating accessibility and user satisfaction
User Testing Methods

Usability testing techniques (think-aloud, A/B testing)
Remote testing and usability metrics
Iterative design and usability feedback loops
Data Analysis and Interpretation

Analyzing usability test results
Identifying usability issues and prioritizing improvements
Iterative design and continuous improvement processes
VI. Designing for User Experience (UX)
Emotional Design

Aesthetic and emotional aspects of interface design
Designing for delight and engagement
Emotional response metrics and assessment
Persuasive Design and Behavior Change

Persuasive technology principles (captology)
Designing for behavior change and habit formation
Ethical considerations in persuasive design
VII. Advanced Topics in HCI
Social Computing and Collaboration

Social media interfaces and online communities
Collaborative platforms and virtual teams
Designing for social presence and interaction
Mobile and Ubiquitous Computing

Mobile interface design principles
Wearable technology interfaces
Context-aware computing and adaptive interfaces
HCI in Emerging Technologies

Internet of Things (IoT) interfaces
Artificial Intelligence and machine learning in HCI
Virtual reality (VR) and augmented reality (AR) interfaces
VIII. Case Studies and Applications
Real-World HCI Design
Case studies of successful HCI projects
Challenges and solutions in HCI implementation
Impact of HCI on user productivity and satisfaction
IX. Practical Applications and Projects
Hands-On Labs and Design Exercises

Prototyping and wireframing tools (Sketch, Adobe XD)
Designing interactive prototypes and mockups
Conducting usability tests and user evaluations
Capstone Project

Designing and developing a user-centered interface
Applying HCI principles and methodologies
Project presentation and evaluation
X. Future Trends in HCI
Human-AI Interaction

Conversational AI and chatbot interfaces
Ethical implications of AI in HCI
Designing trustworthy AI interfaces
HCI for Smart Environments

Smart home interfaces and IoT ecosystems
Interface design for autonomous systems (self-driving cars, robots)
Challenges and opportunities in ambient computing
XI. Ethical and Societal Implications
Ethics in HCI Research and Design
Privacy concerns and data ethics
Bias and fairness in algorithmic design
Designing for diverse user populations

Admission Open for this course
Contact Number: 03307615544

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