The Educational Experience of Virtual Reality: An Archaeological Case Study of the Maya Site, Vista Alegre

Archaeological visualization has a long history within the discipline, relying on technological advancements to aid in recording, interpreting, and educating about sites and projects. Though computer graphics have been used as archaeological visualizations for decades, hardware advancements have begun to allow for broader consumer use of Virtual and Augmented Reality platforms in homes, schools, and museums. This thesis explores the applications of Virtual and Augmented Reality platforms for archaeological visualization, specifically in the area of public education. To this end, a 3D model and virtual experience of the Maya site of Vista Alegre in Mexico are created, methodologically explained, and examined to relate history, theory, and the goals of utilizing this medium within the archaeological discipline while expanding on the ethical requirements and empirical methods of praxis. In all, this technology both produces tangible, quantifiable, and accurate data and makes these data more accessible to the general public. Image from Proskouriakoff (1970[1946]

Virtual Reality Games for Motor Rehabilitation

This paper presents a fuzzy logic based method to track user satisfaction without the need for devices to monitor users physiological conditions. User satisfaction is the key to any product’s acceptance; computer applications and video games provide a unique opportunity to provide a tailored environment for each user to better suit their needs. We have implemented a non-adaptive fuzzy logic model of emotion, based on the emotional component of the Fuzzy Logic Adaptive Model of Emotion (FLAME) proposed by El-Nasr, to estimate player emotion in UnrealTournament 2004. In this paper we describe the implementation of this system and present the results of one of several play tests. Our research contradicts the current literature that suggests physiological measurements are needed. We show that it is possible to use a software only method to estimate user emotion