Expressive Interviewing: A Conversational System for Coping with COVID-19
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Abstract (arXiv)
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 textitExpressive 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.
Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). First posted on arXiv 7 Jul 2020.
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Citing papers per year: 2021: 2; 2022: 2; 2023: 2; 2024: 3; 2025: 1.
10 papers.
- 2021Towards Emotional Support Dialog Systemscited by 294
- 2023Cognitive Reframing of Negative Thoughts through Human-Language Model Interactioncited by 77
- 2023Task-Adaptive Tokenization: Enhancing Long-Form Text Generation Efficacy in Mental Health and Beyondcited by 22
- 2021How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impactcited by 18
- 2024IMBUE: Improving Interpersonal Effectiveness through Simulation and Just-in-time Feedback with Human-Language Model Interactioncited by 12
- 2024Few-shot Dialogue Strategy Learning for Motivational Interviewing via Inductive Reasoningcited by 11
- 2022Benchmark Data and Evaluation Framework for Intent Discovery Around COVID-19 Vaccine Hesitancycited by 4
- 2024Beyond Discrete Personas: Personality Modeling Through Journal Intensive Conversationscited by 4
- 2022Towards Answering Open-ended Ethical Quandary Questionscited by 3
- 2025ISCA: A Framework for Interview-Style Conversational Agentscited by 0
- 2025ISCA: A Framework for Interview-Style Conversational Agents20 Aug 2025
- 2024Beyond Discrete Personas: Personality Modeling Through Journal Intensive Conversations15 Dec 2024
- 2024Few-shot Dialogue Strategy Learning for Motivational Interviewing via Inductive Reasoning23 Mar 2024
- 2024IMBUE: Improving Interpersonal Effectiveness through Simulation and Just-in-time Feedback with Human-Language Model Interaction19 Feb 2024
- 2023Task-Adaptive Tokenization: Enhancing Long-Form Text Generation Efficacy in Mental Health and Beyond9 Oct 2023
- 2023Cognitive Reframing of Negative Thoughts through Human-Language Model Interaction4 May 2023
- 2022Benchmark Data and Evaluation Framework for Intent Discovery Around COVID-19 Vaccine Hesitancy24 May 2022
- 2022Towards Answering Open-ended Ethical Quandary Questions12 May 2022
- 2021How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact4 Jun 2021
- 2021Towards Emotional Support Dialog Systems2 Jun 2021