Summary of the paper

Title The Distress Analysis Interview Corpus of Human and Computer Interviews
Authors "Jonathan Gratch, Ron Artstein, Gale Lucas, Giota Stratou, Stefan Scherer, Angela Nazarian, Rachel Wood, Jill Boberg, David Devault, Stacy Marsella, David Traum, Albert ""Skip"" Rizzo and Louis-Philippe Morency"
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.
Topics Tools, Systems, Applications, Other
Full paper The Distress Analysis Interview Corpus of Human and Computer Interviews
Bibtex @InProceedings{GRATCH14.508,
  author = {"Jonathan Gratch and Ron Artstein and Gale Lucas and Giota Stratou and Stefan Scherer and Angela Nazarian and Rachel Wood and Jill Boberg and David Devault and Stacy Marsella and David Traum and Albert ""Skip"" Rizzo and Louis-Philippe Morency"},
  title = {The Distress Analysis Interview Corpus of Human and Computer Interviews},
  booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)},
  year = {2014},
  month = {may},
  date = {26-31},
  address = {Reykjavik, Iceland},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {978-2-9517408-8-4},
  language = {english}
Powered by ELDA © 2014 ELDA/ELRA