Angela Nazarian


2014

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The Distress Analysis Interview Corpus of human and computer interviews
Jonathan Gratch | Ron Artstein | Gale Lucas | Giota Stratou | Stefan Scherer | Angela Nazarian | Rachel Wood | Jill Boberg | David DeVault | Stacy Marsella | David Traum | Skip Rizzo | Louis-Philippe Morency
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

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.

2012

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The Twins Corpus of Museum Visitor Questions
Priti Aggarwal | Ron Artstein | Jillian Gerten | Athanasios Katsamanis | Shrikanth Narayanan | Angela Nazarian | David Traum
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

The Twins corpus is a collection of utterances spoken in interactions with two virtual characters who serve as guides at the Museum of Science in Boston. The corpus contains about 200,000 spoken utterances from museum visitors (primarily children) as well as from trained handlers who work at the museum. In addition to speech recordings, the corpus contains the outputs of speech recognition performed at the time of utterance as well as the system interpretation of the utterances. Parts of the corpus have been manually transcribed and annotated for question interpretation. The corpus has been used for improving performance of the museum characters and for a variety of research projects, such as phonetic-based Natural Language Understanding, creation of conversational characters from text resources, dialogue policy learning, and research on patterns of user interaction. It has the potential to be used for research on children's speech and on language used when talking to a virtual human.

2011

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An Annotation Scheme for Cross-Cultural Argumentation and Persuasion Dialogues
Kallirroi Georgila | Ron Artstein | Angela Nazarian | Michael Rushforth | David Traum | Katia Sycara
Proceedings of the SIGDIAL 2011 Conference