@inproceedings{49c68836ed1b48b7900f6bb793f7386c,
title = "Robotic Tutors for Nurse Training: Opportunities for HRI Researchers",
abstract = "An ongoing nurse labor shortage has the potential to impact patient care well-being in the entire healthcare system. Moreover, more complex and sophisticated nursing care is required today for patients in hospitals forcing hospital-based nurses to carry out frequent training and assessment procedures, both to onboard new nurses and to validate skills of existing staff that guarantees best practices and safety. In this paper we recognize an opportunity for the development and integration of intelligent robot tutoring technology into nursing education to tackle the growing challenges of nurse deficit. To this end, we identify specific research problems in the area of human-robot interaction that will need to be addressed to enable robot tutors for nurse training.",
author = "Carlos Quintero-Pena and Peizhu Qian and Fontenot, {Nicole M.} and Hsin-Mei Chen and Hamlin, {Shannan K.} and Kavraki, {Lydia E.} and Vaibhav Unhelkar",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 32nd IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2023 ; Conference date: 28-08-2023 Through 31-08-2023",
year = "2023",
doi = "10.1109/RO-MAN57019.2023.10309573",
language = "English (US)",
series = "IEEE International Workshop on Robot and Human Communication, RO-MAN",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "220--225",
booktitle = "2023 32nd IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2023",
address = "United States",
}