The last decade of HCI research on children and voice-based conversational agents

R Garg, H Cui, S Seligson, B Zhang… - Proceedings of the …, 2022 - dl.acm.org
Voice-based Conversational Agents (CAs) are increasingly being used by children. Through
a review of 38 research papers, this work maps trends, themes, and methods of empirical …

[HTML][HTML] Design and evaluation challenges of conversational agents in health care and well-being: selective review study

AB Kocaballi, E Sezgin, L Clark, JM Carroll… - Journal of medical …, 2022 - jmir.org
Background Health care and well-being are 2 main interconnected application areas of
conversational agents (CAs). There is a significant increase in research, development, and …

Sep-28k: A dataset for stuttering event detection from podcasts with people who stutter

C Lea, V Mitra, A Joshi, S Kajarekar… - ICASSP 2021-2021 …, 2021 - ieeexplore.ieee.org
The ability to automatically detect stuttering events in speech could help speech pathologists
track an individual's fluency over time or help improve speech recognition systems for …

From user perceptions to technical improvement: Enabling people who stutter to better use speech recognition

C Lea, Z Huang, J Narain, L Tooley, D Yee… - Proceedings of the …, 2023 - dl.acm.org
Consumer speech recognition systems do not work as well for many people with speech
differences, such as stuttering, relative to the rest of the general population. However, what …

“The World is Designed for Fluent People”: Benefits and Challenges of Videoconferencing Technologies for People Who Stutter

S Wu - Proceedings of the 2023 CHI Conference on Human …, 2023 - dl.acm.org
This work studies the experiences of people who stutter (PWS) with videoconferencing (VC)
and VC technologies. Our interview study with 13 adults who stutter uncovers extra …

Exploring smart speaker user experience for people who stammer

A Bleakley, D Rough, A Roper, S Lindsay… - Proceedings of the 24th …, 2022 - dl.acm.org
Speech-enabled smart speakers are common devices used for numerous tasks in everyday
life. While speech-enabled technologies are widespread, using one's voice as a computing …

Speech disfluency detection with contextual representation and data distillation

P Mohapatra, A Pandey, B Islam, Q Zhu - Proceedings of the 1st ACM …, 2022 - dl.acm.org
Stuttering affects almost 1\% of the world's population. It has a deep sociological impact and
hinders the people who stutter from taking advantage of voice-assisted services. Automatic …

Analysis and tuning of a voice assistant system for dysfluent speech

V Mitra, Z Huang, C Lea, L Tooley, S Wu… - arXiv preprint arXiv …, 2021 - arxiv.org
Dysfluencies and variations in speech pronunciation can severely degrade speech
recognition performance, and for many individuals with moderate-to-severe speech …

Data representativeness in accessibility datasets: A meta-analysis

R Kamikubo, L Wang, C Marte, A Mahmood… - Proceedings of the 24th …, 2022 - dl.acm.org
As data-driven systems are increasingly deployed at scale, ethical concerns have arisen
around unfair and discriminatory outcomes for historically marginalized groups that are …

Unifying recommender systems and conversational user interfaces

AD Starke, M Lee - Proceedings of the 4th Conference on …, 2022 - dl.acm.org
This paper considers unifying research on conversational user interfaces and recommender
systems. Studies on conversational user interfaces (CUIs) typically examine how …