Conference proceeding
The Impact of User Characteristics and Preferences on Performance with an Unfamiliar Voice User Interface
CHI 2019: PROCEEDINGS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS
01 Jan 2019
Abstract
Voice User Interfaces are increasing in popularity. However, their invisible nature with no or limited visuals makes it difficult for users to interact with unfamiliar VUIs. We analyze the impact of user characteristics and preferences on how users interact with a VUI-based calendar, DiscoverCal. While recent VUI studies analyze user behavior through selfreported data, we extend this research by analyzing both VUI usage data and self-reported data to observe correlations between both data types. Results from our user study (n=50) led to four key findings: 1) programming experience did not have a wide-spread impact on performance metrics while 2) assimilation bias did, 3) participants with more technical confidence exhibited a trial-and-error approach, and 4) desiring more guidance from our VUI correlated with performance metrics that indicate cautious users.
Metrics
Details
- Title
- The Impact of User Characteristics and Preferences on Performance with an Unfamiliar Voice User Interface
- Creators
- Chelsea M. Myers - Drexel UniversityAnushay Furqan - Drexel UniversityJichen Zhu - Drexel UniversityAssoc Comp Machinery
- Publication Details
- CHI 2019: PROCEEDINGS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS
- Conference
- CHI 2019: CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS
- Publisher
- Assoc Computing Machinery
- Number of pages
- 9
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Digital Media
- Web of Science ID
- WOS:000474467900047
- Scopus ID
- 2-s2.0-85067626644
- Other Identifier
- 991019168227804721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Cybernetics
- Computer Science, Information Systems
- Computer Science, Theory & Methods