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ORIGINAL RESEARCH article
Front. Robot. AI
Sec. Human-Robot Interaction
Volume 11 - 2024 |
doi: 10.3389/frobt.2024.1419584
Siamese and triplet network-based pain expression in robotic avatars for care and nursing training
Provisionally accepted- Daegu University, Gyeongsan, North Gyeongsang, Republic of Korea
Care and nursing training (CNT) refers to developing the ability to effectively respond to patient needs by investigating their requests and improving trainees' care skills in a caring environment. Although conventional CNT programs have been conducted based on videos, books, and role-playing, the best approach is to practice on a real human. However, it is challenging to recruit patients for continuous training, and the patients may experience fatigue or boredom with iterative testing.As an alternative approach, a patient robot that reproduces various human diseases and provides feedback to trainees has been introduced. This study presents a patient robot that can express feelings of pain, similarly to a real human, in joint care education. The two primary objectives of the proposed patient robot-based care training system are (a) to infer the pain felt by the patient robot and intuitively provide the trainee with the patient's pain state, and (b) to provide facial expression-based visual feedback of the patient robot for care training.
Keywords: human-robot interaction, care and nursing education, pain expression, robotic facial expression, SIAMESE network
Received: 18 Apr 2024; Accepted: 30 Aug 2024.
Copyright: © 2024 Lee, Lee and Kim. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Miran Lee, Daegu University, Gyeongsan, 712-714, North Gyeongsang, Republic of Korea
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