Title:	Empathy Training using Virtual Environments
Authors:	Jackson, Ron Semwal, Sudhanshu Kumar
Citation:	WSCG 2024: full papers proceedings: 32. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 87-96.
Issue Date:	2024
Publisher:	Václav Skala - UNION Agency
Document type:	konferenční příspěvek conferenceObject
URI:	http://hdl.handle.net/11025/57380
ISSN:	2464–4625 (online) 2464–4617 (print)
Keywords:	počítačové vidění;rozpoznávání výrazu obličeje;neuronové sítě;virtuální realita;vizuální interakce;Python;Unity3D(TM)
Keywords in different language:	computer vision;facial;neural networks;virtual reality;visual interaction;Python;Unity3D(TM)
Abstract in different language:	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
Rights:	© Václav Skala - UNION Agency
Appears in Collections:	WSCG 2024: Full Papers Proceedings

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.