Conference proceeding
Adaptive suggestions to increase learnability for voice user interfaces
Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion, pp 159-160
16 Mar 2019
Abstract
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.
Metrics
Details
- Title
- Adaptive suggestions to increase learnability for voice user interfaces
- Creators
- Chelsea M. Myers - Drexel UniversityACMJichen Zhu
- Publication Details
- Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion, pp 159-160
- Conference
- IUI '19: 24th International Conference on Intelligent User Interfaces, 24th (2019)
- Series
- ACM Conferences
- Publisher
- ACM
- Resource Type
- Conference proceeding
- Language
- English
- Web of Science ID
- WOS:000546032800080
- Scopus ID
- 2-s2.0-85074449803
- Other Identifier
- 991021859328604721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Software Engineering