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An adaptive dialogue system for assessing post traumatic stress disorder

Published: 29 May 2013 Publication History

Abstract

In this paper, we present a system which is able to interact through natural dialogue, with PTSD patients, as well as to guide the conversation aiming to elicit enough information to make an assessment of their condition, in a manner similar to a self assessment test. Our system is able to adapt to each individual patient and can operate in two modes: one that stores information about previous sessions with a patient to provide a sense of trust and relationship; and one that does not store information to preserve anonymity.

References

[1]
Diagnostic and statistical manual of mental disorders, 1994. 4th Edition. American Psychiatric Association.
[2]
S. Bird, E. Klein, and E. Loper. Natural language processing with Python. O'Reilly Media, Incorporated, 2009.
[3]
W. C. Chuang, Z. J. Multi-modal emotion recognition from speech and text. Computational Linguistics and Chinese Language Processing, 9(2):45--623, 2004.
[4]
T. Drummond. Vocabulary of emotions.
[5]
A. Gatt and E. Reiter. Simplenlg: A realisation engine for practical applications. In Proceedings of the 12th European Workshop on Natural Language Generation, pages 90--93. Association for Computational Linguistics, 2009.
[6]
D. Huggins-Daines, M. Kumar, A. Chan, A. W. Black, M. Ravishankar, and A. I. Rudnicky. Pocketsphinx: A free, real-time continuous speech recognition system for hand-held devices. In Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on, volume 1, pages I--I. IEEE, 2006.
[7]
U. S. D. of Health & Human Services. Post-traunatic stress disorder. National Institute of Mental Health, (08-6388), 2008.
[8]
A. Papangelis. A comparative study of reinforcement learning techniques on dialogue management. In Proc. of SRW at EACL, pages 22--31. ACL, 2012.
[9]
A. Papangelis, V. Karkaletsis, and F. Makedon. Online complex action learning and user state estimation for adaptive dialogue systems. In Proc. of IEEE ICTAI, 2012.
[10]
O. L. V. Rieser and O. Lemon. Reinforcement learning for adaptive dialogue systems. 2011.
[11]
A. Rizzo, K. Sagae, E. Forbell, J. Kim, B. Lange, J. Buckwalter, J. Williams, T. Parsons, P. Kenny, D. R. Traum, J. Difede, and B. Rothbaum. Simcoach: An intelligent virtual human system for providing healthcare information and support. In I/ITSEC 2011, Orlando, Florida, November 2011 2011.
[12]
A. Rudnicky. Sphinx knowledge base tool (2010).
[13]
F. W. Weathers, T. M. Keane, and J. R. Davidson. Clinician-administered ptsd scale: A review of the first ten years of research. Depression and anxiety, 13(3):132--156, 2001.

Cited By

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  • (2022)Detection of Psychological Trauma in Refugee Children by Analysis of Drawings using Machine Learning2022 IEEE Calcutta Conference (CALCON)10.1109/CALCON56258.2022.10060660(278-282)Online publication date: 10-Dec-2022
  • (2022)A Review of Plan-Based Approaches for Dialogue ManagementCognitive Computation10.1007/s12559-022-09996-014:3(1019-1038)Online publication date: 31-Jan-2022
  • (2021)Resonating response makes people feel better: An empathetic protocol in dialogue system2021 IEEE International Conference on Computer Science, Artificial Intelligence and Electronic Engineering (CSAIEE)10.1109/CSAIEE54046.2021.9543448(88-95)Online publication date: 20-Aug-2021
  • Show More Cited By

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Published In

cover image ACM Other conferences
PETRA '13: Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments
May 2013
413 pages
ISBN:9781450319737
DOI:10.1145/2504335
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Sponsors

  • NSF: National Science Foundation
  • FORTH: Foundation for Research and Technology - Hellas
  • HERACLEIA: HERACLEIA Human-Centered Computing Laboratory at UTA
  • U of Tex at Arlington: U of Tex at Arlington
  • TEI: Technological Educational Institution of Athens
  • UCG: University of Central Greece
  • NCRS: Demokritos National Center for Scientific Research
  • Fulbrigh, Greece: Fulbright Foundation, Greece
  • Ionian: Ionian University, GREECE

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 May 2013

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Author Tags

  1. PTSD assessment
  2. adaptive dialogue
  3. complex actions

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  • Research-article

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PETRA '13
Sponsor:
  • NSF
  • FORTH
  • HERACLEIA
  • U of Tex at Arlington
  • TEI
  • UCG
  • NCRS
  • Fulbrigh, Greece
  • Ionian

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Cited By

View all
  • (2022)Detection of Psychological Trauma in Refugee Children by Analysis of Drawings using Machine Learning2022 IEEE Calcutta Conference (CALCON)10.1109/CALCON56258.2022.10060660(278-282)Online publication date: 10-Dec-2022
  • (2022)A Review of Plan-Based Approaches for Dialogue ManagementCognitive Computation10.1007/s12559-022-09996-014:3(1019-1038)Online publication date: 31-Jan-2022
  • (2021)Resonating response makes people feel better: An empathetic protocol in dialogue system2021 IEEE International Conference on Computer Science, Artificial Intelligence and Electronic Engineering (CSAIEE)10.1109/CSAIEE54046.2021.9543448(88-95)Online publication date: 20-Aug-2021
  • (2020)Leveraging Free-Hand Sketches for Potential Screening of PTSDProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34118354:3(1-22)Online publication date: 4-Sep-2020
  • (2020)Information Usefulness as a Strategy for Action Selection in Health Dialogues2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)10.1109/WIIAT50758.2020.00046(323-330)Online publication date: Dec-2020
  • (2019)Robust Belief State Space Representation for Statistical Dialogue Managers Using Deep Autoencoders2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)10.1109/ASRU46091.2019.9003871(1055-1061)Online publication date: Dec-2019
  • (2014)Assessing and Monitoring Post‐Traumatic Stress Disorder Through Natural Interaction With an Adaptive Dialogue SystemJournal of Applied Biobehavioral Research10.1111/jabr.1202519:3(192-215)Online publication date: 3-Sep-2014
  • (2014)Improving speech-based PTSD detection via multi-view learning2014 IEEE Spoken Language Technology Workshop (SLT)10.1109/SLT.2014.7078584(260-265)Online publication date: Dec-2014
  • (2014)Towards a differential diagnostic of PTSD using cognitive computing methods2014 IEEE 13th International Conference on Cognitive Informatics and Cognitive Computing10.1109/ICCI-CC.2014.6921435(9-20)Online publication date: Aug-2014
  • (2014)Multi-modal prediction of PTSD and stress indicators2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)10.1109/ICASSP.2014.6854279(3636-3640)Online publication date: May-2014

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