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Creating Project Contrast: A Video Game Exploring Consciousness And Qualia, Pierce Papke
Creating Project Contrast: A Video Game Exploring Consciousness And Qualia, Pierce Papke
Honors Projects
Project Contrast is a video game that explores how the unique traits inherent to video games might engage reflective player responses to qualitative experience. Project Contrast does this through suspension of disbelief, avatar projection, presence, player agency in storytelling, visual perception, functional gameplay, and art. Considering the difficulty in researching qualitative experience due to its subjectivity and circular explanations, I created Project Contrast not to analyze qualia, though that was my original hope. I instead created Project Contrast as an avenue for player self-reflection and learning about qualitative experience. While video games might be just code and art on a …
X-Ray Vision At Action Space Distances: Depth Perception In Context, Nate Phillips
X-Ray Vision At Action Space Distances: Depth Perception In Context, Nate Phillips
Theses and Dissertations
Accurate and usable x-ray vision has long been a goal in augmented reality (AR) research and development. X-ray vision, or the ability to comprehend location and object information when such is viewed through an opaque barrier, would be imminently useful in a variety of contexts, including industrial, disaster reconnaissance, and tactical applications. In order for x-ray vision to be a useful tool for many of these applications, it would need to extend operators’ perceptual awareness of the task or environment. The effectiveness with which x-ray vision can do this is of significant research interest and is a determinant of …
Constructing Frameworks For Task-Optimized Visualizations, Ghulam Jilani Abdul Rahim Quadri
Constructing Frameworks For Task-Optimized Visualizations, Ghulam Jilani Abdul Rahim Quadri
USF Tampa Graduate Theses and Dissertations
Visualization is crucial in today’s data-driven world to augment and enhance human understanding and decision-making. Effective visualizations must support accuracy in visual task performance and expressive data communication. Effective visualization design depends on the visual channels used, chart types, or visual tasks. However, design choices and visual judgment are co-related, and effectiveness is not one-dimensional, leading to a significant need to understand the intersection of these factors to create optimized visualizations. Hence, constructing frameworks that consider both design decisions and the task being performed enables optimizing visualization design to maximize efficacy. This dissertation describes experiments, techniques, and user studies to …
Modeling Human Visual Detection Using Deep Networks, Zach Dekraker
Modeling Human Visual Detection Using Deep Networks, Zach Dekraker
Dissertations, Master's Theses and Master's Reports
The work in this report describes the use of machine learning to model human visual detection. This is in contrast to typical machine learning models, which seek to optimize detection performance overall, e.g., precision versus recall or F1 scores. Instead the goal is to develop models that can accurately match humans' abilities to detect objects in images. There are many AI algorithms that have far surpassed humans in, for example, object detection in large image databases or games such as Go. What is different about this work is that the objective is to accurately model humans' performance in visual detection …
Enhancing 3d Visual Odometry With Single-Camera Stereo Omnidirectional Systems, Carlos A. Jaramillo
Enhancing 3d Visual Odometry With Single-Camera Stereo Omnidirectional Systems, Carlos A. Jaramillo
Dissertations, Theses, and Capstone Projects
We explore low-cost solutions for efficiently improving the 3D pose estimation problem of a single camera moving in an unfamiliar environment. The visual odometry (VO) task -- as it is called when using computer vision to estimate egomotion -- is of particular interest to mobile robots as well as humans with visual impairments. The payload capacity of small robots like micro-aerial vehicles (drones) requires the use of portable perception equipment, which is constrained by size, weight, energy consumption, and processing power. Using a single camera as the passive sensor for the VO task satisfies these requirements, and it motivates the …
Using Perceptually Grounded Semantic Models To Autonomously Convey Meaning Through Visual Art, Derrall L. Heath
Using Perceptually Grounded Semantic Models To Autonomously Convey Meaning Through Visual Art, Derrall L. Heath
Theses and Dissertations
Developing advanced semantic models is important in building computational systems that can not only understand language but also convey ideas and concepts to others. Semantic models can allow a creative image-producing-agent to autonomously produce artifacts that communicate an intended meaning. This notion of communicating meaning through art is often considered a necessary part of eliciting an aesthetic experience in the viewer and can thus enhance the (perceived) creativity of the agent. Computational creativity, a subfield of artificial intelligence, deals with designing computational systems and algorithms that either automatically create original and functional products, or that augment the ability of humans …
Service Quality And Perceived Value Of Cloud Computing-Based Service Encounters: Evaluation Of Instructor Perceived Service Quality In Higher Education In Texas, Eges Egedigwe
CCE Theses and Dissertations
Cloud computing based technology is becoming increasingly popular as a way to deliver quality education to community colleges, universities and other organizations. At the same time, compared with other industries, colleges have been slow on implementing and sustaining cloud computing services on an institutional level because of budget constraints facing many large community colleges, in addition to other obstacles. Faced with this challenge, key stakeholders are increasingly realizing the need to focus on service quality as a measure to improve their competitive position in today's highly competitive environment. Considering the amount of study done with cloud computing in education, very …
Investigating The Determinants Of Disaster Recovery Technology Investment Choice In Small And Medium-Sized Enterprises, Faranak Afshar
Investigating The Determinants Of Disaster Recovery Technology Investment Choice In Small And Medium-Sized Enterprises, Faranak Afshar
CCE Theses and Dissertations
Due to the importance of small and medium-sized enterprises (SMEs) as drivers of economic growth, it is essential to explore the security issues impacting SMEs' success and failure. One of the main security risks that could significantly impair the operability of the organizations is the permanent loss of data due to man-made and/or natural disasters and interruptions. Research has shown that SMEs are not taking disaster preparedness for their computer and networking systems as seriously as they should. This dissertation is an attempt to explain the process of a risky choice, specifically the decision maker's choice of not investing in …
A Proof Of Concept For Crowdsourcing Color Perception Experiments, Ryan Nathaniel Mcleod
A Proof Of Concept For Crowdsourcing Color Perception Experiments, Ryan Nathaniel Mcleod
Master's Theses
Accurately quantifying the human perception of color is an unsolved prob- lem. There are dozens of numerical systems for quantifying colors and how we as humans perceive them, but as a whole, they are far from perfect. The ability to accurately measure color for reproduction and verification is critical to indus- tries that work with textiles, paints, food and beverages, displays, and media compression algorithms. Because the science of color deals with the body, mind, and the subjective study of perception, building models of color requires largely empirical data over pure analytical science. Much of this data is extremely dated, …
Pixel Based Note Taking Through Perceptual Structure Inference, Mitchell Kent Harris
Pixel Based Note Taking Through Perceptual Structure Inference, Mitchell Kent Harris
Theses and Dissertations
Knowledge workers need effective annotation tools to assimilate information. Unfortunately many digital annotators are limited in the range of document that they accept. Those that do accept many different documents do so by converting documents to images, thus losing any awareness about the original content of the document. We introduce a digital note taker that is both universal and content aware. By constructing a hierarchical context tree of document images, the structure of a document is inferred from the image. This hierarchical context tree is shown to be useful by demonstrating how it facilitates selection of document elements, reflowing documents …
A Method For Introducing Artificial Perception (Ap) To Improve Human Behavior Representation (Hbr) Using Agents In Synthetic Environments, Randall Bartholomew Garrett
A Method For Introducing Artificial Perception (Ap) To Improve Human Behavior Representation (Hbr) Using Agents In Synthetic Environments, Randall Bartholomew Garrett
Computational Modeling & Simulation Engineering Theses & Dissertations
While psychology has shown that perception is very important for the human decision process, agent perception has not been covered in sufficient detail within the agent directed simulation field. To contribute to such a solution, an open challenge lies in capturing the knowledge of human sciences, such as psychology, and making this knowledge usable for engineers. This dissertation addresses perception by describing an experimental method where agent perception simulates human perception. In particular, it presents engineering methods based on accepted psychological approaches resulting in a proof of concept. To prove the feasibility, an Artificial Perception (AP) meta-model is presented using …