@inproceedings{welch-etal-2020-expressive,
title = "Expressive Interviewing: A Conversational System for Coping with {COVID}-19",
author = "Welch, Charles and
Lahnala, Allison and
Perez-Rosas, Veronica and
Shen, Siqi and
Seraj, Sarah and
An, Larry and
Resnicow, Kenneth and
Pennebaker, James and
Mihalcea, Rada",
editor = "Verspoor, Karin and
Cohen, Kevin Bretonnel and
Conway, Michael and
de Bruijn, Berry and
Dredze, Mark and
Mihalcea, Rada and
Wallace, Byron",
booktitle = "Proceedings of the 1st Workshop on {NLP} for {COVID}-19 (Part 2) at {EMNLP} 2020",
month = dec,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.nlpcovid19-2.6",
doi = "10.18653/v1/2020.nlpcovid19-2.6",
abstract = "The ongoing COVID-19 pandemic has raised concerns for many regarding personal and public health implications, financial security and economic stability. Alongside many other unprecedented challenges, there are increasing concerns over social isolation and mental health. We introduce Expressive Interviewing {--} an interview-style conversational system that draws on ideas from motivational interviewing and expressive writing. Expressive Interviewing seeks to encourage users to express their thoughts and feelings through writing by asking them questions about how COVID-19 has impacted their lives. We present relevant aspects of the system{'}s design and implementation as well as quantitative and qualitative analyses of user interactions with the system. In addition, we conduct a comparative evaluation with a general purpose dialogue system for mental health that shows our system potential in helping users to cope with COVID-19 issues.",
}
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<abstract>The ongoing COVID-19 pandemic has raised concerns for many regarding personal and public health implications, financial security and economic stability. Alongside many other unprecedented challenges, there are increasing concerns over social isolation and mental health. We introduce Expressive Interviewing – an interview-style conversational system that draws on ideas from motivational interviewing and expressive writing. Expressive Interviewing seeks to encourage users to express their thoughts and feelings through writing by asking them questions about how COVID-19 has impacted their lives. We present relevant aspects of the system’s design and implementation as well as quantitative and qualitative analyses of user interactions with the system. In addition, we conduct a comparative evaluation with a general purpose dialogue system for mental health that shows our system potential in helping users to cope with COVID-19 issues.</abstract>
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%0 Conference Proceedings
%T Expressive Interviewing: A Conversational System for Coping with COVID-19
%A Welch, Charles
%A Lahnala, Allison
%A Perez-Rosas, Veronica
%A Shen, Siqi
%A Seraj, Sarah
%A An, Larry
%A Resnicow, Kenneth
%A Pennebaker, James
%A Mihalcea, Rada
%Y Verspoor, Karin
%Y Cohen, Kevin Bretonnel
%Y Conway, Michael
%Y de Bruijn, Berry
%Y Dredze, Mark
%Y Mihalcea, Rada
%Y Wallace, Byron
%S Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020
%D 2020
%8 December
%I Association for Computational Linguistics
%C Online
%F welch-etal-2020-expressive
%X The ongoing COVID-19 pandemic has raised concerns for many regarding personal and public health implications, financial security and economic stability. Alongside many other unprecedented challenges, there are increasing concerns over social isolation and mental health. We introduce Expressive Interviewing – an interview-style conversational system that draws on ideas from motivational interviewing and expressive writing. Expressive Interviewing seeks to encourage users to express their thoughts and feelings through writing by asking them questions about how COVID-19 has impacted their lives. We present relevant aspects of the system’s design and implementation as well as quantitative and qualitative analyses of user interactions with the system. In addition, we conduct a comparative evaluation with a general purpose dialogue system for mental health that shows our system potential in helping users to cope with COVID-19 issues.
%R 10.18653/v1/2020.nlpcovid19-2.6
%U https://aclanthology.org/2020.nlpcovid19-2.6
%U https://doi.org/10.18653/v1/2020.nlpcovid19-2.6
Markdown (Informal)
[Expressive Interviewing: A Conversational System for Coping with COVID-19](https://aclanthology.org/2020.nlpcovid19-2.6) (Welch et al., NLP-COVID19 2020)
ACL