Serious Games for Nursing
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Description: The
Serious Games concept has received increased attention lately. The idea is to use game metaphors and technology to support education and training by leveraging rich visuals, immersive virtual environments, and interactive challenges to make learning more effective. Such approaches are being widely prototyped for the military, health care, emergency management, etc. This multidisciplinary project attempts to develop a prototype serious game for education in nursing, specifically for pediatrics, where such applications are rare. It is our belief that in order to succeed in this area, we have to integrate challenging and life-like patient experiences found in nursing education with engaging game design, realistic art and graphics, and the technological and scientific capability of computer science. We have assembled a team of scientists at SFSU including the School of Nursing , Computer Science, and Design and Industry. Our project includes the following: a) analysis of the specific application and its applicability to games (i.e. pediatric education); b) design of the game concepts, its flow, character behavior, graphics etc.; c) development of game prototype; and d) formal testing in School of Nursing to determine its educational efficacy. The project is funded by Microsoft Bay Area Research and is also supported by SFSU Center for Computing for Life Sciences.
Participating Labs: SFSU School of Nursing, Graphics and Image Analysis Research Group,
3D Space Lab
Publications
Software
Research Team
- Prof. Dragutin Petkovic, PI, Director, Center for Computing for Life Sciences
, Chair, Dept. Computer Sciences
- Prof. Andrea Boyle, Interim Director, School of Nursing
- Prof. Jane deLeon, School of Nursing
- Prof. Allen Orsi, School of Nursing
- Prof. Jane Veeder, Visual Communication Design, Dept. of Design & Industry
- Prof. Bill Hsu, Dept. Computer Sciences
- Prof. Ilmi Yoon, Graphics and Image Analysis Research Group
- Mike Wong, Center for Computing for Life Sciences
AI: Artificial Intelligence
UI: User Interface
IK: Inverse Kinematics
FK: Forward Kinematics