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Probabilistic Estimation of Human Interaction Needs in Context of a Robotic Assistance in Geriatrics

  • The key purpose of assistance robots is to help people coping with work-related or everyday tasks. To ensure an intuitive and effective support by an assistance robot, its expectation conform behavior is essential. In particular, when using assistance robots in geriatrics to assist elderly patients, special attention to the human-robot interaction should be paid. In order to help elderly patients maintain their independence and abilities as much as possible, the robot should only intervene when its support is needed. Therefore, the continuous estimation of the patient’s need for interaction is of particular importance. For enabling suitable models to estimate this need, we elaborate the use of Bayesian Networks. The analysis of our results seems promising, yielding a robust and practical approach.

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Metadaten
Author:Patrick Philipp, Marie Bommersheim, Sebastian Robert, Jürgen Beyerer
URL:https://doi.org/10.1515/cdbme-2019-0109
Parent Title (English):Current Directions in Biomedical Engineering
Document Type:Conference Proceeding
Language:English
Publication Year:2019
Creating Corporation:Proceedings of the 2019 Annual Meeting of the German Society of Biomedical Engineering
Tag:Assistance Technology; Bayesian Networks; Gerontology; Robotics; Social Robot; Virtual Evidence
First Page:433
Last Page:436