The distress analysis interview corpus of human and computer interviews
Open accessAbstract
The Distress Analysis Interview Corpus (DAIC) contains clinical interviews designed to support the diagnosis of psychological distress conditions such as anxiety, depression, and post traumatic stress disorder. The interviews are conducted by humans, human controlled agents and autonomous agents, and the participants include both distressed and non-distressed individuals. Data collected include audio and video recordings and extensive questionnaire responses; parts of the corpus have been transcribed and annotated for a variety of verbal and non-verbal features. The corpus has been used to support the creation of an automated interviewer agent, and for research on the automatic identification of psychological distress.
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Relational agents built based on the theory of rapport can induce users' openness.
“Researchers further found that relational agents, which were built based on the theory of rapport, can induce users' openness (77, 78).”
From Digital Therapeutic Alliance With Fully Automated Mental Health Smartphone Apps: A Narrative Review (2022) · cites this paper as [77]
The Collection section (p. 2) says the interviews began with questions designed to build rapport and make participants comfortable. The Usage section (p. 5) reports less fear of negative evaluation and impression management when the character was framed as autonomous, which is consistent with greater openness. It does not say the agent was built based on a theory of rapport or show that rapport-based design induced that openness. (LLM, conf=0.82)
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“Before the interview, some participants completed a measure of the five factors of personality (John et al., 1991), and others completed a measure of emotion regulation (Gross and John, 2003).”
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- Authors
- Gratch, J., Artstein, R., Lucas, G., Stratou, G., Scherer, S., Nazarian, A., Wood, R., Boberg, J., DeVault, D., Marsella, S., Traum, D., Rizzo, S., & Morency, L.-P.
- ORCID
- Venue
- Proceedings of the Language Resources and Evaluation Conference
- Published
- 2014-05
- Pages
- 3123-3128
- ISSN
- 2522-2686
- OpenAlex
- W2252180568
- Cited by
- 599
- References
- 6
- Citations by year
- 2026: 92 · 2025: 53 · 2024: 92 · 2023: 86 · 2022: 75 · 2021: 51 · 2020: 46 · 2019: 40 · 2018: 19 · 2017: 22 · 2016: 12 · 2015: 6 · 2014: 5
- FWCI
- 24.48
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc
- Locations
- Language Resources and Evaluation Conference (LREC) (publishedVersion, cc-by-nc)
- ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (submittedVersion)
- Language Resources and Evaluation
- Funders
- Defense Advanced Research Projects Agency (W911NF-04-D-0005)
- Research, Development and Engineering Command (W911NF-04-D-0005)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
- Social Sciences › Psychology › Social Psychology › Mental Health via Writing
- Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
- Keywords
- psychological distress, clinical interview, anxiety, depression, post-traumatic stress disorder, human-computer interaction
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