Book Image

Learn Human-Computer Interaction

By : Christopher Reid Becker
Book Image

Learn Human-Computer Interaction

By: Christopher Reid Becker

Overview of this book

Human-Computer Interaction (HCI) is a field of study that researches, designs, and develops software solutions that solve human problems. This book will help you understand various aspects of the software development phase, from planning and data gathering through to the design and development of software solutions. The book guides you through implementing methodologies that will help you build robust software. You will perform data gathering, evaluate user data, and execute data analysis and interpretation techniques. You’ll also understand why human-centered methodologies are successful in software development, and learn how to build effective software solutions through practical research processes. The book will even show you how to translate your human understanding into software solutions through validation methods and rapid prototyping leading to usability testing. Later, you will understand how to use effective storytelling to convey the key aspects of your software to users. Throughout the book, you will learn the key concepts with the help of historical figures, best practices, and references to common challenges faced in the software industry. By the end of this book, you will be well-versed with HCI strategies and methodologies to design effective user interfaces.
Table of Contents (17 chapters)
1
Section 1 - Learn Human-Computer Interaction
5
Section 2 - How to Build Human-Centered Software
11
Section 3 - When to Improve Software Systems

The numbers side of data collection

Quantitative data is data that can be counted and is collected through methods of observation, calculating overtime, and applying statistics. Quantitative data is numerical. The collection of quantitative data provides the means for which observers can establish baseline averages.

HCI and UX tend to focus on quantitative research methods throughout the design and development process and become especially relevant during user testing. Quantitative data can help a team gather proof of whether that solution is working or not based on an established user need. For example, say you have a research group for an application for band members in a high school and it has 45 students.

Understand a way to apply quality to the following dataset:

  • 6 flutes
  • 7 trumpets
  • 12 drumlines
  • 3 tubas
  • 8 saxophones
  • 9 flag guards

Understanding that each member logs into the band application an average of 225 times a day or an average of 5 times per user per day is a quantitative...