46033 research outputs found
Sort by
Supplement to A Technical and Statistical Analysis of Unleaded Aviation Fuel (UL94) Adoption in a High-Volume Collegiate Aviation Environment
Get PDFSupplemental documentation for A Technical and Statistical Analysis of Unleaded Aviation Fuel (UL94) Adoption in a High-Volume Collegiate Aviation Environment , forthcoming publication in the Journal of Aviation Technology and Engineering
Hummingbirds with Sitka Rose Cuff
No full textThis cuff is intricately decorated with two hummingbirds on each side facing the rose in the middle. The center of the rose is made of abalone that includes iridescent shades of purple, green, blue, and white.https://commons.und.edu/native-art/1095/thumbnail.jp
Exploring the Feasibility of Head‐Tracking Data for Cybersickness Prediction in Virtual Reality
Get PDFTraditional methods for predicting cybersickness rely on self-reported questionnaires or physiological signals from specialized sensors, which have their limitations. This study explores the potential of using real-time, easily acquired head-tracking data (HTD) from standard VR headsets as a scalable alternative for estimating cybersickness. Twenty-eight participants engaged in a VR session using an Oculus Quest 2 headset while their HTD was recorded. Kinematic metrics such as linear and angular velocity, acceleration, and jerk were computed from the HTD, including positional and angular parameters. Participants’ cybersickness levels were assessed using the Virtual Reality Sickness Questionnaire. The Gradient Boosting model demonstrated superior performance, accurately predicting cybersickness scores. Among these, the Gradient Boosting model demonstrated superior performance, accurately predicting cybersickness scores with prediction normalized differences of less than 4.8% on unseen data. This approach offers a scalable and practical solution for real-time cybersickness prediction in VR applications and compliments other techniques that rely on physiological sensors, hardware, or user profiles.https://commons.und.edu/grad-posters/1010/thumbnail.jp
Enhancing Virtual Reality Usability With A ML Based Dynamic Adaptive System
Get PDFVirtual reality (VR) holds tremendous potential, but cybersickness degrades the user experience. Since individuals vary, a one-size-fits-all design is insufficient. Our work introduces a dynamic adaptive system that personalizes VR experiences by learning individual cybersickness profiles from head-tracking data and sickness questionnaires while adjusting settings such as field of view and foveated rendering strength. Early results show that our system reduces post-exposure sickness scores, enhancing the user experience and highlighting the importance of personalizing VR.https://commons.und.edu/cs-pp/1003/thumbnail.jp
The Psychology of Lying and Deception
Get PDFThis paper inspects the psychology behind the human behavior of lying and deception, the motivations behind why people lie, the mental effort involved, and the challenges of detecting deception. It explores the social influences, gender differences, and high-stakes situations, as well as the limitations of popular lie detection methods. This paper emphasizes the complexities of accurately identifying deception and lies, specifically highlighting truth biases and individual differences, which further challenge detection
Niagara Fowls
No full textStylized birds in orange, yellow and red. Green and blue background with foliage.https://commons.und.edu/uac-all/4916/thumbnail.jp
Dinosaur Mountain
No full textDinosaur Mountain at the Chester Fritz Performing Arts Centerhttps://commons.und.edu/performing-arts-photos/1056/thumbnail.jp