316 BYOD: Beginner’s Guide to Designing a Voice UI Learning Experience
3:00 PM - 4:00 PM Wednesday, October 24
In the past few years, voice user experiences—like Alexa, Google, Cortana, and Siri—are becoming as prolific as laptops, smartphones, and tablets. Learning professionals need to start exploring ways to effectively incorporate voice technology into the learning ecosystem. Designing for voice interaction can be intimidating because the tech is so new. How do you translate your existing skills in order to create engaging voice learner experiences?
In this session, you’ll learn how to translate your existing skills to design for a voice user interface (VUI). You will explore the basics of VUI design, including sample dialogs, flow diagrams, prompt lists, and mocks. Then you will apply these concepts using free tools to develop and test a VUI learning experience that you can then use to program an interaction for a voice AI like Alexa or Google Home. You will leave this session armed with tools that you can take back and use immediately to prototype and demo.
In this session, you will learn:
- How smart devices like Alexa and Google Home work at a high level
- Key voice design elements and their role in the process
- How to design a voice user interface learning experience
- Core principles and best practices of VUI design
Designers, developers, and managers.
Technology discussed in this session:
SaySpring, Echosim, Alexa SDK, and Google Voice API.
Laptop or iPad.
Program Manager, Technical Curriculum
Amazon Web Services
Myra is an L&D thought leader who brings a unique mix of technical, business, and adult education expertise to the game. She is a TEDx speaker, author, and technical designer who has won awards for her learning designs. Her superpower is her natural ability to make complex technical subjects easy to understand by breaking them down in a way that makes it easy to consume and move forward with action. She strives to evoke transformation by doing her part to decolonize technology. Myra works at Amazon and she has earned a Bachelor of Computer Science, MSEd, and an MBA.