Název:	Empathy Training using Virtual Environments
Autoři:	Jackson, Ron Semwal, Sudhanshu Kumar
Citace zdrojového dokumentu:	WSCG 2024: full papers proceedings: 32. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 87-96.
Datum vydání:	2024
Nakladatel:	Václav Skala - UNION Agency
Typ dokumentu:	konferenční příspěvek conferenceObject
URI:	http://hdl.handle.net/11025/57380
ISSN:	2464–4625 (online) 2464–4617 (print)
Klíčová slova:	počítačové vidění;rozpoznávání výrazu obličeje;neuronové sítě;virtuální realita;vizuální interakce;Python;Unity3D(TM)
Klíčová slova v dalším jazyce:	computer vision;facial;neural networks;virtual reality;visual interaction;Python;Unity3D(TM)
Abstrakt v dalším jazyce:	We developed a virtual environment (VE) for nursing students so that they can experience what a person living with schizophrenia constantly hears. In our implementation, Non Player Character (NPC) Eva interacts with the player by recognizing the facial expressions of the players wearing Oculus Rift-S head mounted display (HMD). We use the Unity game development platform, and implement machine learning (ML) algorithms using deep learning (DL) models to provide such simulated experiences. In our implementation, the NPC Eva recognizes the player’s facial expressions and reacts with a variety of facial, body, and verbal animated responses. Our empathy training virtual environment is developed for the nursing students. Our colleagues at the College of Nursing have also undertaken an approved IRB (Internal Review Board) user study. This paper focuses on technical details of our algorithms, their implementations. Main results of our research are summarized, including a positive reception of our empathy training virtual environment
Práva:	© Václav Skala - UNION Agency
Vyskytuje se v kolekcích:	WSCG 2024: Full Papers Proceedings

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