A realistic, multimodal virtual agent for the healthcare domain

Guido M. Linders, Julija Vaitonyte, Maryam Alimardani, Kiril O. Mitev, Max M. Louwerse

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

Abstract

We introduce an interactive embodied conversational agent for deployment in the healthcare sector. The agent is operated by a software architecture that integrates speech recognition, dialog management, and speech synthesis, and is embodied by a virtual human face developed using photogrammetry techniques. These features together allow for real-time, face-to-face interactions with human users. Although the developed software architecture is domain-independent and highly customizable, the virtual agent will initially be applied to healtcare domain. Here we give an overview of the different components of the architecture.
Original languageEnglish
Title of host publicationIVA 2022 - Proceedings of the 22nd ACM International Conference on Intelligent Virtual Agents
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450392488
DOIs
Publication statusPublished - 6 Sept 2022
Externally publishedYes
Event22nd ACM International Conference on Intelligent Virtual Agents, IVA 2022 - Faro, Portugal
Duration: 6 Sept 20229 Sept 2022

Conference

Conference22nd ACM International Conference on Intelligent Virtual Agents, IVA 2022
Country/TerritoryPortugal
CityFaro
Period6/09/229/09/22

Funding

This research has been funded by the grant No.: PROJ-007246 from the Operational Program South, the European Union, the Ministry of Economic Affairs, the Province of Noord-Brabant, and the municipality of Tilburg awarded to MML. Tilburg University (TiU), BlueTea, Noldus, Breda University of Applied Sciences (BUas), Royal Netherlands Aerospace Centre (NLR), and Fontys Applied University Eindhoven created the agent architecture. BUas created the photogrammetry pipeline, 3D face models, and integrated Microsoft Azure into the architecture. Spaarne Hospital together with TiU, NLR, and Noldus created bariatrics training data. TiU implemented dialog management. BlueTea and TiU implemented the virtual machine solution.

FundersFunder number
European Commission
Ministerie van Economische Zaken

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