Journal
2022 31ST IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION (IEEE RO-MAN 2022)
Volume -, Issue -, Pages 1352-1357Publisher
IEEE
DOI: 10.1109/RO-MAN53752.2022.9900827
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Funding
- EU [871245]
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This paper describes the potential applications of social robots in healthcare settings, such as robot receptionists, to assist patients and visitors and alleviate staff workload. It presents the development of a multimodal conversational AI system integrated in a social conversational robot (ARI robot) and reports on an initial experimental validation study conducted with the ARI robot in laboratory conditions.
Possible applications for Social Robots in healthcare settings, that could have a tremendous social impact in helping alleviating staff workload, are those of a patient-facing role such as robot receptionist, providing assistance to patients and visitors. Examples of functions that such robots would need to be able to execute are greeting visitors, reception check-in/out of patients, answering common questions they may have, showing them where to sit, helping them locate missing objects, providing directions to facilities, guiding them to different locations, etc. In this paper we describe current progress towards developing a multimodal conversational AI system integrated in a Social Conversational Robot (an ARI robot) that will act as a receptionist in a hospital waiting room. We present the developed architecture of the system and report on an initial experimental validation study carried out in laboratory conditions with the ARI robot.
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