by Gratch, Jonathan, Artstein, Ron, Lucas, Gale, Stratou, Giota, Scherer, Stefan, Nazarian, Angela, Wood, Rachel, Boberg, Jill, DeVault, David, Marsella, Stacy, Traum, David, Rizzo, Albert and Morency, Louis-Philippe
Abstract:
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.
Reference:
The Distress Analysis Interview Corpus of human and computer interviews (Gratch, Jonathan, Artstein, Ron, Lucas, Gale, Stratou, Giota, Scherer, Stefan, Nazarian, Angela, Wood, Rachel, Boberg, Jill, DeVault, David, Marsella, Stacy, Traum, David, Rizzo, Albert and Morency, Louis-Philippe), In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC 2014), LREC, 2014.
Bibtex Entry:
@inproceedings{gratch_distress_2014,
address = {Reykjavik, Iceland},
title = {The {Distress} {Analysis} {Interview} {Corpus} of human and computer interviews},
url = {http://ict.usc.edu/pubs/The%20Distress%20Analysis%20Interview%20Corpus%20of%20human%20and%20computer%20interviews.pdf},
abstract = {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.},
booktitle = {Proceedings of the {Ninth} {International} {Conference} on {Language} {Resources} and {Evaluation} ({LREC} 2014)},
publisher = {LREC},
author = {Gratch, Jonathan and Artstein, Ron and Lucas, Gale and Stratou, Giota and Scherer, Stefan and Nazarian, Angela and Wood, Rachel and Boberg, Jill and DeVault, David and Marsella, Stacy and Traum, David and Rizzo, Albert and Morency, Louis-Philippe},
month = may,
year = {2014},
keywords = {UARC, Virtual Humans},
pages = {3123--3128}
}