4,851 research outputs found
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
Computing and Information Science (CIS)
Cornell University Courses of Study Vol. 97 2005/200
Annual Report of Undergraduate Research Fellows, August 2008 to May 2009
Annual Report of Undergraduate Research Fellows from August 2008 to May 2009
Computing and Information Science
Cornell University Courses of Study Vol. 98 2006/200
A Consensus on the Definition and Knowledge Base for Computer Graphics
Despite several decades of historical innovation, measurable impacts, and multiple specializations the existing knowledge base for Computer Graphics (CG) lacks consensus, and numerous definitions for it have been published based on distinct contexts. Disagreement among post-secondary academics has divided CG programs into three contextual areas that emphasize different topics. This division has resulted in the decontextualization of CG education, and CG programs now face several challenges in meeting the needs of industry. Employing the Delphi Method, this investigation explored the perceptions among post-secondary educators and industry professionals about the definition of CG and how it is identified in terms of characteristics and context. The outcomes of this investigation identified CG in the technological paradigm, and provided a road map towards a true definition and distinct knowledge base necessary for establishing CG as a formal computing discipline
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