Coursera Stanford University - Human-Computer Interaction
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Coursera: Stanford University - Human-Computer Interaction
WEBRip | English | MP4 + PDF Slides | 960 x 540 | AVC ~123 kbps | 30 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | Subs: English (.srt) | 6h 35mn | 884 MB
Genre: eLearning Video / Computer Engineering and Technology
In this course, you will learn how to design technologies that bring people joy, rather than frustration. You'll learn several techniques for rapidly prototyping and evaluating multiple interface alternatives - and why rapid prototyping and comparative evaluation are essential to excellent interaction design.
You'll learn how to conduct fieldwork with people to help you get design ideas. How to make paper prototypes and low-fidelity mock-ups that are interactive - and how to use these designs to get feedback from other stakeholders like your teammates, clients, and users.
You'll learn principles of visual design so that you can effectively organize and present information with your interfaces. You'll learn principles of perception and cognition that inform effective interaction design. And you'll learn how to perform and analyze controlled experiments online. In many cases, we'll use Web design as the anchoring domain. A lot of the examples will come from the Web, and we'll talk just a bit about Web technologies in particular. When we do so, it will be to support the main goal of this course, which is helping you build human-centered design skills, so that you have the principles and methods to create excellent interfaces with any technology.
Courses list:
Week 1 - Introduction
1.1 Human Computer Interaction (4:18)
1.2 The Power of Prototyping (13:49)
1.3 Evaluating Designs (12:15)
1.4 The Birth of HCI (8:48)
Week 2 - Needfinding
2.1 Participant Observation (12:55)
2.2 Interviewing (11:37)
2.3 Additional Needfinding Strategies (11:54)
Week 3 - Rapid Prototyping
3.1 Paper Prototypes and Mockups (12:47)
3.2 Faking it - Wizard of Oz (14:30)
3.3 Faking it - Video Prototyping (11:48)
3.4 Creating and Comparing Alternatives (8:55)
Week 4 - Heuristic Evaluation
4.1 Heuristic Evaluation - Why and How? (16:41)
4.2 Design Heuristics (Part 1/2) (20:02)
4.3 Design Heuristics (Part 2/2) (17:00)
4.4 Creating and Comparing Alternatives (8:55)
Week 5 - Direct Manipulation and Representations
5.1 Direct Manipulation (16:53)
5.2 Mental Models (15:28)
5.3 Representation Matters (17:11)
5.4 Distributing Cognition (Part 1/2) (16:44)
5.5 Distributing Cognition (Part 2/2) (13:11)
Week 6 - Visual Design and Information Design
6.1 Visual Design (7:37)
6.2 Typography (10:47)
6.3 Grids and Alignment (17:33)
6.4 Reading and Navigating (13:31)
Week 7 - Designing Experiments
7.1 Designing Studies you can learn from (15:52)
7.2 Assign Participants to Conditions (18:39)
7.3 In person experiments (12:24)
7.4a Running web experiments: introduction (9:48)
7.4b Running web experiments (6:18)
7.4c Running web experiments (5:37)
7.5 Comparing rates (20:03)
Additional Resources
What to Do in Need Finding
Don Norman. "Things that make us smart"
Chapter 1: Human-Centered Technology
Chapter 3: The Power of Representation In "Designing Interfaces"
Edward Tufte. "The Visual Display of Quantitative Information"
Eric von Hippel. "Democratizing Innovation": Application: Toolkits for User Innovation and Custom Design
Suzanne Ginsburg. "Designing the iPhone User Experience: A User-Centered Approach to Sketching and Prototyping iPhone Apps"
Chapter 1: iPhone Application Overview
Chapter 3: Introduction to User Research
Chapter 4: Analyzing User Research
Chapter 6: Exploring App Concepts
Chapter 7: Prototyping App Concept
Suzanne Ginsburg. Case Studies: "Designing the iPhone User Experience: A User-Centered Approach to Sketching and Prototyping iPhone Apps"
"The Cartoon Guide to Statistics"
In "Designing the User Interface: Strategies for Effective Human-Computer Interaction" Collaboration and Social Media Participation
Jeff Raskin. "The Humane Interface: New Directions for Designing Interactive Systems"
Jenifer Tidwell. "Designing Interfaces"
Practical Guide to Controlled Experiments on the Web
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