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.
Technical Curriculum Developer, Program Manager
Myra Roldan is an instructional designer and program manager for Amazon with over 20 years of industry experience. She works with her clients to help them change the way they think about learning, to create and deliver learning solutions that drive performance change to prepare the organization for the next generation of learners. She advocates for the creation of learner-centric learning ecosystems that integrate new and emerging technologies along with a blend of learning methodologies. Myra holds a BS in computer science, an MSEd, and an MBA.