@inproceedings{virkkunen-etal-2019-user,
title = "A user study to compare two conversational assistants designed for people with hearing impairments",
author = {Virkkunen, Anja and
Lukkarila, Juri and
Palom{\"a}ki, Kalle and
Kurimo, Mikko},
editor = "Christensen, Heidi and
Hollingshead, Kristy and
Prud{'}hommeaux, Emily and
Rudzicz, Frank and
Vertanen, Keith",
booktitle = "Proceedings of the Eighth Workshop on Speech and Language Processing for Assistive Technologies",
month = jun,
year = "2019",
address = "Minneapolis, Minnesota",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W19-1701",
doi = "10.18653/v1/W19-1701",
pages = "1--8",
abstract = "Participating in conversations can be difficult for people with hearing loss, especially in acoustically challenging environments. We studied the preferences the hearing impaired have for a personal conversation assistant based on automatic speech recognition (ASR) technology. We created two prototypes which were evaluated by hearing impaired test users. This paper qualitatively compares the two based on the feedback obtained from the tests. The first prototype was a proof-of-concept system running real-time ASR on a laptop. The second prototype was developed for a mobile device with the recognizer running on a separate server. In the mobile device, augmented reality (AR) was used to help the hearing impaired observe gestures and lip movements of the speaker simultaneously with the transcriptions. Several testers found the systems useful enough to use in their daily lives, with majority preferring the mobile AR version. The biggest concern of the testers was the accuracy of the transcriptions and the lack of speaker identification.",
}
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%0 Conference Proceedings
%T A user study to compare two conversational assistants designed for people with hearing impairments
%A Virkkunen, Anja
%A Lukkarila, Juri
%A Palomäki, Kalle
%A Kurimo, Mikko
%Y Christensen, Heidi
%Y Hollingshead, Kristy
%Y Prud’hommeaux, Emily
%Y Rudzicz, Frank
%Y Vertanen, Keith
%S Proceedings of the Eighth Workshop on Speech and Language Processing for Assistive Technologies
%D 2019
%8 June
%I Association for Computational Linguistics
%C Minneapolis, Minnesota
%F virkkunen-etal-2019-user
%X Participating in conversations can be difficult for people with hearing loss, especially in acoustically challenging environments. We studied the preferences the hearing impaired have for a personal conversation assistant based on automatic speech recognition (ASR) technology. We created two prototypes which were evaluated by hearing impaired test users. This paper qualitatively compares the two based on the feedback obtained from the tests. The first prototype was a proof-of-concept system running real-time ASR on a laptop. The second prototype was developed for a mobile device with the recognizer running on a separate server. In the mobile device, augmented reality (AR) was used to help the hearing impaired observe gestures and lip movements of the speaker simultaneously with the transcriptions. Several testers found the systems useful enough to use in their daily lives, with majority preferring the mobile AR version. The biggest concern of the testers was the accuracy of the transcriptions and the lack of speaker identification.
%R 10.18653/v1/W19-1701
%U https://aclanthology.org/W19-1701
%U https://doi.org/10.18653/v1/W19-1701
%P 1-8
Markdown (Informal)
[A user study to compare two conversational assistants designed for people with hearing impairments](https://aclanthology.org/W19-1701) (Virkkunen et al., SLPAT 2019)
ACL