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Andrew Raij
Researcher at University of Central Florida
Publications - 62
Citations - 3235
Andrew Raij is an academic researcher from University of Central Florida. The author has contributed to research in topics: Virtual reality & Interpersonal communication. The author has an hindex of 25, co-authored 62 publications receiving 2760 citations. Previous affiliations of Andrew Raij include Georgia Regents University & University of North Carolina at Chapel Hill.
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Proceedings ArticleDOI
Point & Teleport Locomotion Technique for Virtual Reality
TL;DR: Results indicated that Point & Teleport is a fun and user friendly locomotion method whereas the additional direction component degraded the user experience.
Proceedings Article
Continuous inference of psychological stress from sensory measurements collected in the natural environment
Kurt Plarre,Andrew Raij,Syed Monowar Hossain,Amin Ahsan Ali,Motohiro Nakajima,Mustafa al'Absi,Emre Ertin,Thomas W. Kamarck,Santosh Kumar,Marcia S. Scott,Daniel P. Siewiorek,Asim Smailagic,Lorentz E. Wittmers +12 more
TL;DR: This paper proposes, train, and test two models for continuous prediction of stress from physiological measurements captured by unobtrusive, wearable sensors, and proposes a perceived stress model to predict perception of stress.
Journal ArticleDOI
A Survey of Incentive Techniques for Mobile Crowd Sensing
TL;DR: This work establishes a set of design constraints or minimum requirements that any incentive mechanism for CS must have and contributes a taxonomy of CS incentive mechanisms and shows how current systems fit within this taxonomy.
Journal ArticleDOI
The use of virtual patients to teach medical students history taking and communication skills
Amy Stevens,Jonathan Hernandez,Kyle Johnsen,Robert F. Dickerson,Andrew Raij,Cyrus Harrison,Meredith DiPietro,Bryan Allen,Richard E. Ferdig,Sebastian Foti,Jonathan Jackson,Min C. Shin,Juan C. Cendan,Robert T. Watson,Margaret Duerson,Benjamin Lok,Marc S. Cohen,Peggy J. Wagner,D. Scott Lind +18 more
TL;DR: Despite current technological limitations, virtual clinical scenarios could provide students a controllable, secure, and safe learning environment with the opportunity for extensive repetitive practice with feedback without consequence to a real or SP.
Proceedings ArticleDOI
AutoSense: unobtrusively wearable sensor suite for inferring the onset, causality, and consequences of stress in the field
TL;DR: A wireless sensor suite called AutoSense that collects and processes cardiovascular, respiratory, and thermoregularity measurements that can inform about the general stress state of test subjects in their natural environment and overcomes several challenges in the design of wearable sensor systems for use in the field.