A multimodal adaptive dialogue manager for depressive and anxiety disorder screening: A Wizard-of-Oz experiment

Konstantinos Tsiakas, Lynette Watts, Cyril Lutterodt, Theodoros Giannakopoulos, Alexandros Papangelis, Robert Gatchel, Vangelis Karkaletsis, Fillia Makedon

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

In this paper, we present an Adaptive Multimodal Dialogue System for Depressive and Anxiety Disorders Screening (DADS). The system interacts with the user through verbal and non-verbal communication to elicit the information needed to make referrals and recommendations for depressive and anxiety disorders while encouraging the user and keeping them calm. We designed the problem using interconnected Markov Decision Processes using sub-goals to deal with the large state space. We present the problem formulation and the experimental procedure for the training data collection and the system training following the methodology of Wizard-of-Oz experiments.

Original languageEnglish
Title of host publication8th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2015 - Proceedings
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450334525
DOIs
StatePublished - 1 Jul 2015
Event8th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2015 - Corfu, Greece
Duration: 1 Jul 20153 Jul 2015

Publication series

Name8th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2015 - Proceedings

Other

Other8th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2015
Country/TerritoryGreece
CityCorfu
Period1/07/153/07/15

Keywords

  • Markov Decision Processes
  • Mental health monitoring
  • Multimodal adaptive dialogue systems
  • Reinforcement learning
  • Wizard-of-Oz

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