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Journal on Multimodal User Interfaces

, Volume 8, Issue 4, pp 381–398 | Cite as

Let’s talk! speaking virtual counselor offers you a brief intervention

  • Ugan Yasavur
  • Christine Lisetti
  • Naphtali Rishe
Original Paper

Abstract

We developed a virtual counseling system which can deliver brief alcohol health interventions via a 3D anthropomorphic speech-enabled interface—a new field for spoken dialog interactions with intelligent virtual agents in the health domain. We present our spoken dialog system design and its evaluation. We developed our dialog system based on Markov decision processes framework and optimized it by using reinforcement learning algorithms with data we collected from real user interactions. The system begins to learn optimal dialog strategies for initiative selection and for the type of confirmations that it uses during the interaction. We compared the unoptimized system with the optimized system in terms of objective measures (e.g. task completion) and subjective measures (e.g. ease of use, future intention to use the system) and obtained positive results.

Keywords

Spoken dialog systems Reinforcement learning Intelligent virtual agents and avatars Conversational agents  Alcohol Healthy lifestyle screening Behavior change brief intervention 

Notes

Acknowledgments

Part of this research was funded by grants from the National Science Foundation HRD-0833093, IIP-1338922, IIP- 1237818.

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Copyright information

© OpenInterface Association 2014

Authors and Affiliations

  • Ugan Yasavur
    • 1
  • Christine Lisetti
    • 1
  • Naphtali Rishe
    • 1
  1. 1.School of Computing and Information SciencesFlorida International UniversityMiamiUSA

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