Conference proceeding
Learnability through Adaptive Discovery Tools in Voice User Interfaces
Proceedings of the 2017 CHI Conference Extended Abstracts on human factors in computing systems, v 127655, pp 1617-1623
06 May 2017
Abstract
The invisible nature of VUIs has been attributed to challenging discoverability with VUIs. Low discoverability often leads to learnability issues. Researchers have designed visual tools for VUIs to help users learn as they go. However, few have used adaptation to ensure that learnability with the help of these tools extends beyond initial use. We designed DiscoverCal, a calendar application designed using adaptive discovery tools to improve learnability in VUIs. In this paper, we identify key characteristics of existing discovery tools. We present our design of a VUI that adapts based on contextual relevance and user performance in order to extend learnability beyond initial use. We briefly discuss our user study design.
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48 citations in Scopus
Details
- Title
- Learnability through Adaptive Discovery Tools in Voice User Interfaces
- Creators
- Anushay Furqan - Drexel UniversityChelsea Myers - Drexel UniversityJichen Zhu - Drexel University
- Publication Details
- Proceedings of the 2017 CHI Conference Extended Abstracts on human factors in computing systems, v 127655, pp 1617-1623
- Conference
- 2017 CHI Conference on human factors in computing systems
- Series
- CHI EA '17
- Publisher
- Association for Computing Machinery (ACM)
- Number of pages
- 1
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Digital Media
- Scopus ID
- 2-s2.0-85019543506
- Other Identifier
- 991019173777804721