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We present the development and evaluation of the Virtual Experience Test (VET). The VET is a survey instrument used to measure holistic virtual environment experiences based upon the five dimensions of experiential design: sensory, cognitive, affective, active, and relational. Experiential Design (ED) is a holistic approach to enhance presence in virtual environments that goes beyond existing presence theory (i.e. a focus on the sensory aspects of VE experiences) to include affective and cognitive factors.To evaluate the VET, 62 participants played the commercial video game Mirror's Edge. After gameplay both the VET and the ITC-Sense of Presence Inventory (ITC-SOPI) were administered. A principal component analysis was performed on the VET and it was determined that the actual question clustering coincided with the proposed dimensions of experiential design. Furthermore, scores from the VET were shown to have a significant relationship with presence scores on the ITC-SOPI. The results of this research produced a validated measure of holistic experience that could be used to evaluate virtual environments. Furthermore, our experiment indicates that virtual environments utilizing holistic designs can result in significantly higher presence.

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This article describes a framework that has been developed to monetize the real value of simulation-based training in health care. A significant consideration has been given to the incorporation of the intangible and qualitative benefits, not only the tangible and quantitative benefits of simulation-based training in health care. The framework builds from three works: the value measurement methodology (VMM) used by several departments of the US Government, a methodology documented in several books by Dr Jack Phillips to monetize various training approaches, and a traditional return on investment methodology put forth by Frost and Sullivan, and Immersion Medical. All 3 source materials were adapted to create an integrated methodology that can be readily implemented. This article presents details on each of these methods and how they can be integrated and presents a framework that integrates the previous methods. In addition to that, it describes the concept and the application of the developed framework. As a test of the applicability of the framework, a real case study has been used to demonstrate the application of the framework. This case study provides real data related to the correlation between the pediatric patient cardiopulmonary arrest (CPA) survival rates and a simulation-based mock codes at the University of Michigan tertiary care academic medical center. It is important to point out that the proposed framework offers the capability to consider a wide range of benefits and values, but on the other hand, there are several limitations that has been discussed and need to be taken in consideration.