TY - GEN
T1 - Prototyping the Virtual Reality-Based NIHSS Stroke Assessment Training System
AU - Li, Wei Jung
AU - Chen, Chien Hsu
AU - Sung, Pi Shan
AU - Chang, Yu Ming
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - This study is a prototype of the virtual reality-based NIHSS stroke assessment training system and its evaluation. The National Institutes of Health Stroke Scale (NIHSS) plays an important role in assessing acute ischemic stroke. However, it has always been a difficult task to train young doctors or medical students. Both educators and learners face different problems. The lack of practice opportunities causes a gap between verbal lectures and clinical practice. In this study, we try to overcome the difficulties of mastering NIHSS. After some investigation, we found that virtual reality (VR) has great potential in this case. We created a virtual reality system in which users will be provided with virtual stroke patients in the hospital. By the designed user and patient’s movements and dialogues, the user can interact with the patient in person and learn through practice. The prototype currently takes a healthy adult as the virtual patient to find out major system usability problems, and actual cases in the real world can be imported into the VR system afterward to provide the learners with an adequate self-improvement space. It can also be a helpful tool for the educators to train professional clinical staff. Heuristic evaluation carried out by designers and neurologists was conducted throughout the development. The VR system is believed to be an effective way to learn NIHSS. It solved some of the current NIHSS training problems and showed its potential value of operating the clinical skill in person in a 3D immersive environment.
AB - This study is a prototype of the virtual reality-based NIHSS stroke assessment training system and its evaluation. The National Institutes of Health Stroke Scale (NIHSS) plays an important role in assessing acute ischemic stroke. However, it has always been a difficult task to train young doctors or medical students. Both educators and learners face different problems. The lack of practice opportunities causes a gap between verbal lectures and clinical practice. In this study, we try to overcome the difficulties of mastering NIHSS. After some investigation, we found that virtual reality (VR) has great potential in this case. We created a virtual reality system in which users will be provided with virtual stroke patients in the hospital. By the designed user and patient’s movements and dialogues, the user can interact with the patient in person and learn through practice. The prototype currently takes a healthy adult as the virtual patient to find out major system usability problems, and actual cases in the real world can be imported into the VR system afterward to provide the learners with an adequate self-improvement space. It can also be a helpful tool for the educators to train professional clinical staff. Heuristic evaluation carried out by designers and neurologists was conducted throughout the development. The VR system is believed to be an effective way to learn NIHSS. It solved some of the current NIHSS training problems and showed its potential value of operating the clinical skill in person in a 3D immersive environment.
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U2 - 10.1007/978-3-031-05412-9_11
DO - 10.1007/978-3-031-05412-9_11
M3 - Conference contribution
AN - SCOPUS:85133200097
SN - 9783031054112
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 164
EP - 181
BT - Human-Computer Interaction. User Experience and Behavior - Thematic Area, HCI 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Proceedings
A2 - Kurosu, Masaaki
PB - Springer Science and Business Media Deutschland GmbH
T2 - Human Computer Interaction thematic area of the 24th International Conference on Human-Computer Interaction, HCII 2022
Y2 - 26 June 2022 through 1 July 2022
ER -