Humanoid robots and spoken dialog systems for brief health interventions

Saminda Abeyruwan, Ramesh Baral, Ugan Yasavur, Christine Lisetti, Ubbo E Visser

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


We combined a spoken dialog system that we developed to deliver brief health interventions with the fully aut onomous humanoid robot (NAO). The dialog system is based on a framework facilitating Markov decision processes (MDP). It is optimized using reinforcement learning (RL) algorithms with data we collected from real user interactions. The system begins to learn optim al dialog strategies for initiative selection and for the type of confirmations that it uses during the interaction. The health intervention, delivered by a 3D character ins tead of the NAO, has already been evaluated, with posit ive results in terms of task completion, ease of use, and future intention to use the system. The current spoken dialog system for the humanoid robot is a novelty and exists so far as a proof of concept.

Original languageEnglish (US)
Title of host publicationArtificial Intelligence for Human-Robot Interaction - Papers from the AAAI Fall Symposium, Technical Report
PublisherAI Access Foundation
Number of pages3
ISBN (Electronic)9781577356912
StatePublished - 2014
Event2014 AAAI Fall Symposium - Arlington, United States
Duration: Nov 13 2014Nov 15 2014


Other2014 AAAI Fall Symposium
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Engineering(all)


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