Simulations of a Computational Model for a Virtual Medical Assistant

Aryana Jackson, Marlène Gilles, Eimear Wall, Elisabetta Bevacqua, Pierre De Loor, Ronan Querrec

2022

Abstract

We propose a virtual medical assistant to guide both novice and expert caregivers through a procedure without the direct help of medical professionals. Our medical assistant uses situational leadership to handle all interaction with a caregiver, which works by identifying the readiness level of the caregiver in order to match them with an appropriate style of communication. The agent system (1) obtains caregiver behavior during the procedure, (2) calculates a readiness level of the caregiver using that behavior, and (3) generates appropriate agent behavior to progress the procedure and maintain a positive interaction with the caregiver.

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Paper Citation


in Harvard Style

Jackson A., Gilles M., Wall E., Bevacqua E., De Loor P. and Querrec R. (2022). Simulations of a Computational Model for a Virtual Medical Assistant. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-547-0, pages 94-105. DOI: 10.5220/0010910700003116


in Bibtex Style

@conference{icaart22,
author={Aryana Jackson and Marlène Gilles and Eimear Wall and Elisabetta Bevacqua and Pierre De Loor and Ronan Querrec},
title={Simulations of a Computational Model for a Virtual Medical Assistant},
booktitle={Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2022},
pages={94-105},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010910700003116},
isbn={978-989-758-547-0},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Simulations of a Computational Model for a Virtual Medical Assistant
SN - 978-989-758-547-0
AU - Jackson A.
AU - Gilles M.
AU - Wall E.
AU - Bevacqua E.
AU - De Loor P.
AU - Querrec R.
PY - 2022
SP - 94
EP - 105
DO - 10.5220/0010910700003116