Patterns for How Users Overcome Obstacles in Voice User Interfaces
@article{Myers2018PatternsFH, title={Patterns for How Users Overcome Obstacles in Voice User Interfaces}, author={Chelsea M. Myers and Anushay Furqan and Jessica Nebolsky and Karina Caro and Jichen Zhu}, journal={Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems}, year={2018} }
Voice User Interfaces (VUIs) are growing in popularity. [] Key Result We also found patterns that suggest participants were more likely to employ a "guessing" approach rather than rely on visual aids or knowledge recall.
147 Citations
Modeling Behavior Patterns with an Unfamiliar Voice User Interface
- Computer ScienceUMAP
- 2019
It is found user behavior can be grouped into three clusters: people who become proficient with the system and typically stay proficient while completing different tasks, people who exhibit an exploratory approach to completing tasks, and people who struggled to complete tasks.
The Impact of User Characteristics and Preferences on Performance with an Unfamiliar Voice User Interface
- Computer ScienceCHI
- 2019
The impact of user characteristics and preferences on how users interact with a VUI-based calendar, DiscoverCal, is analyzed by analyzing both VUI usage data and self-reported data to observe correlations between both data types.
Understanding Differences between Heavy Users and Light Users in Difficulties with Voice User Interfaces
- Computer ScienceCIU
- 2020
It is found that heavy users could identify more diverse difficulty types than light users; the types of difficulties that affect each group of users are different, and in particular, the repetition of agent utterance was considered the most inconvenient by heavy users.
“Try, Try, Try Again:” Sequence Analysis of User Interaction Data with a Voice User Interface
- Computer ScienceCUI
- 2021
Using sequence analysis techniques to reveal the patterns of tactics the authors' participants used when interacting with an unfamiliar multi-modal VUI indicates participants initially struggled with understanding the acceptable utterance structure and entities more so than utterance keywords.
Different Types of Voice User Interface Failures May Cause Different Degrees of Frustration
- Computer ScienceArXiv
- 2020
An investigation into how different types of failures in a voice user interface (VUI) affects user frustration, which identified three major failure types as perceived by the users, namely, Reason Unknown, Speech Misrecognition, and Utterance Pattern Match Failure.
What Can I Say?: Effects of Discoverability in VUIs on Task Performance and User Experience
- Computer ScienceCIU
- 2020
While no significant differences were found between the strategies, a majority of the participants highlighted their preference for the 'What Can I Say?' strategy if they were to use the VUI more frequently, suggesting designers should consider the use of a discoverability strategy in the design of VUIs.
KaraokeVUI: Utilizing Karaoke Subtitles for Voice User Interfaces to Navigate Users What They Would Say
- Computer ScienceCHI Extended Abstracts
- 2022
KaraokeVUI is proposed, which is a VUI help tool for supporting voice operation with feedback by displaying spoken words through filling in the blanks or overlaying on phrases, just like on a karaoke screen, usefulness and usability are evaluated.
Adaptive suggestions to increase learnability for voice user interfaces
- Computer ScienceIUI Companion
- 2019
This research focuses on adapting a VUI's spoken feedback to suggest verbal commands to users encountering errors, and guides users to learn what verbal commands execute VUI actions to accomplish desired tasks with the system.
Adaptable Utterances in Voice User Interfaces to Increase Learnability
- Computer ScienceSmartObjects@CHI
- 2018
This work proposes adaptable verbal commands, termed adaptable utterances, and Open User Models (OUMs) as a method to allow customization of a VUI's commands to match the individual user’s preference.
“You, Move There!”: Investigating the Impact of Feedback on Voice Control in Virtual Environments
- Computer ScienceCUI
- 2021
It is found that the type of feedback given by agents is critical to user experience, and specifically auditory mechanisms are preferred, allowing users to engage with other modalities seamlessly during interaction.
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