Adaptive suggestions to increase learnability for voice user interfaces
Chelsea M. Myers · 2019
Voice User Interfaces (VUIs) are growing in popularity. However, their lack of visual guidance challenges users in learning how to proficiently operate these systems. My research focuses on adapting a VUI's spoken feedback to suggest verbal commands to users encountering errors. Based on observations in my previous research, these adaptive suggestions adapt to the detected user proficiency and predicted user goal to customize feedback to support user needs. The objectives of this technique are to guide users to 1) learn what verbal commands execute VUI actions and 2) learn the actions supported to accomplish desired tasks with the system.