Graphics and Human Computer Interfaces Commons^™

On The Selection Of Anchors And Targets For Video Hyperlinking, Zhi-Qi Cheng, Hao Zhang, Xiao Wu, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

A problem not well understood in video hyperlinking is what qualifies a fragment as an anchor or target. Ideally, anchors provide good starting points for navigation, and targets supplement anchors with additional details while not distracting users with irrelevant, false and redundant information. The problem is not trivial for intertwining relationship between data characteristics and user expectation. Imagine that in a large dataset, there are clusters of fragments spreading over the feature space. The nature of each cluster can be described by its size (implying popularity) and structure (implying complexity). A principle way of hyperlinking can be carried out by …

Collaboration In 360° Videochat: Challenges And Opportunities, Anthony Tang, Omid Fakourfar, Carman Neustaedter, Scott Bateman

Research Collection School Of Computing and Information Systems

We designed a videochat experience where one participant can experience a remote environment from a 360° camera. This allows the remote user to view and explore the environment without necessitating interaction from the local participant. We designed and conducted an observational study to understand the experience, and the challenges that people might encounter. In a study with 32 participants (16 pairs), we found that remote participants could actively participate in the experience with the environment in ways that are not possible with current mobile video chat. However, we also found that participants had challenges in communicating location and orientation information …

Unreal Engine 4 Rpg, Jacob W. Russ, Jeffrey J. Nunez

Computer Engineering

Classic RPG videogames have become few and far between in the Western market over the years as modern RPG systems have gained popularity. The purpose of this project is to present a vertical slice of a hybrid RPG game that takes the gameplay mechanics and styles of classic RPG videogames and infuses them with a modern presentation. Through the use of the powerful Unreal Engine 4 graphics engine, this project is able to combine impressive graphical fidelity with modernized systems to fuel a videogame that is undeniably a classic RPG at heart. This is not a full game, but a …

Learning To Identify Depth Edges In Real-World Images With 3d Ground Truth, Krista A. Ehinger, Kevin T. Joseph, Wendy J. Adams, Erich W. Graf, James H. Elder

MODVIS Workshop

No abstract provided.

Measuring Presence In A Police Use Of Force Simulation, Dharmesh Rajendra Desai

LSU New Orleans Theses and Dissertations

We have designed a simulation that can be used to train police officers. Digital simulations are more cost-effective than a human role play. Use of force decisions are complex and made quickly, so there is a need for better training and innovative methods. Using this simulation, we are measuring the degree of presence that a human experience in a virtual environment. More presence implies better training. Participants are divided into two groups in which one group performs the experiment using a screen, keyboard, and mouse, and another uses virtual reality controls. In this experiment, we use subjective measurements and physiological …

Introduction To Gephi, Jesse Fagan

Research Data and Scholarly Communications Committee Workshops

Gephi is a visualization and exploration software for graphs and networks. Think Photoshop, but for graph data. This session will provide an overview of the software, its features, and resources for further study. Gephi is open-source, free to download, and runs on Windows, Mac OS X, and Linux.

The presentation slides are available by clicking the Download button on the right. The video and audio files of this workshop are listed as the additional files below and are available for download.

We Are Alfred: Empathy Learned Through A Medical Education Virtual Reality Project, Barbara Swartzlander, Elizabeth Dyer, Marilyn R. Gugliucci

Library Services Faculty Posters

Poster describing project collaboration among University of New England (UNE) librarians and College of Osteopathic Medicine (COM) faculty, whose goal was to adopt technology which will teach UNECOM students to be empathic with older adults and familiarize medical students with information resources from the NIH/NLM related to older adult health. Technology tested was the Alfred Lab developed by Embodied Labs. First year medical students were required to complete the ‘We Are Alfred’ virtual reality module and a pre and post assessment. Descriptive statistics were applied to finite questions on pre and post assessments, and content analysis on open ended answers. …

Curiosity: Emergent Behavior Through Interacting Multi-Level Predictions, Douglas S. Blank, Lisa Meeden, James Marshall

Computer Science Faculty Research and Scholarship

Over the past 15 years our research group has been exploring models of developmental robotics and curiosity. Our research is based on the premise that intelligent behavior arises through emergent interactions between opposing forces in an open-ended, task-independent environment. In an initial experiment we constructed a recurrent neural network model where self-motivation was "an emergent property generated by the competing pressures that arise in attempting to balance predictability and novelty". The system first focused on its error, then learned to successfully predict its error, and finally became habituated to what caused the error. This process of focusing, learning, and habituating …

An Affordable Vr Environment, Matthew R. Petty

Senior Honors Projects, 2010-2019

Virtual Reality is a powerful technology with the ability to affect our senses in powerful ways. Traditionally used for entertainment, we argue that it can be used for educational purposes as well. In order to get virtual reality into the classroom, we must address its cost and portability, as well as improve the interaction that users experience with the virtual environment. Our solution, a Unity program installed on an iPhone and a Mac, attempts to solve these issues. A technical demo was created that functions and can be interfaced with. While this solution is a proof of concept, its consequences …

Investigating Trust And Trust Recovery In Human-Robot Interactions, Abigail L. Thomson

Celebration of Learning

As artificial intelligence and robotics continue to advance and be used in increasingly different functions and situations, it is important to look at how these new technologies will be used. An important factor in how a new resource will be used is how much it is trusted. This experiment was conducted to examine people’s trust in a robotic assistant when completing a task, how mistakes affect this trust, and if the levels of trust exhibited with a robot assistant were significantly different than if the assistant were human. The task was to watch a computer simulation of the three-cup monte …

Music Feature Matching Using Computer Vision Algorithms, Mason Hollis

Computer Science and Computer Engineering Undergraduate Honors Theses

This paper seeks to establish the validity and potential benefits of using existing computer vision techniques on audio samples rather than traditional images in order to consistently and accurately identify a song of origin from a short audio clip of potentially noisy sound. To do this, the audio sample is first converted to a spectrogram image, which is used to generate SURF features. These features are compared against a database of features, which have been previously generated in a similar fashion, in order to find the best match. This algorithm has been implemented in a system that can run as …

Simulating Foodborne Pathogens In Poultry Production And Processing To Defend Against Intentional Contamination, Silas B. Lankford

Computer Science and Computer Engineering Undergraduate Honors Theses

There is a lack of data in recent history of food terrorism attacks, and as such, it is difficult to predict its impact. The food supply industry is one of the most vulnerable industries for terrorist threats while the poultry industry is one of the largest food industries in the United States. A small food terrorism attack against just a single poultry processing center has the potential to affect a much larger population than its immediate consumers. In this work, the spread of foodborne pathogens is simulated in a poultry production and processing system to defend against intentional contamination. An …

Hybridguard: A Principal-Based Permission And Fine-Grained Policy Enforcement Framework For Web-Based Mobile Applications, Phu Huu Phung, Abhinav Mohanty, Rahul Rachapalli, Meera Sridhar

Computer Science Faculty Publications

Web-based or hybrid mobile applications (apps) are widely used and supported by various modern hybrid app development frameworks. In this architecture, any JavaScript code, local or remote, can access available APIs, including JavaScript bridges provided by the hybrid framework, to access device resources. This JavaScript inclusion capability is dangerous, since there is no mechanism to determine the origin of the code to control access, and any JavaScript code running in the mobile app can access the device resources through the exposed APIs. Previous solutions are either limited to a particular platform (e.g., Android) or a specific hybrid framework (e.g., Cordova) …

Watching 360° Videos Together, Anthony Tang, Omid Fakourfar

Research Collection School Of Computing and Information Systems

360° videos are made using omnidirectional cameras that capture a sphere around the camera. Viewers get an immersive experience by freely changing their field of view around the sphere. The problem is that current interfaces are designed for a single user, and we do not know what challenges groups of people will have when viewing these videos together. We report on the findings of a study where 16 pairs of participants watched 360° videos together in a "guided tour" scenario. Our findings indicate that while participants enjoyed the ability to view the scene independently, this caused challenges establishing joint references, …

Hand Gesture Recognition For Sign Language Transcription, Iker Vazquez Lopez

Boise State University Theses and Dissertations

Sign Language is a language which allows mute people to communicate with other mute or non-mute people. The benefits provided by this language, however, disappear when one of the members of a group does not know Sign Language and a conversation starts using that language. In this document, I present a system that takes advantage of Convolutional Neural Networks to recognize hand letter and number gestures from American Sign Language based on depth images captured by the Kinect camera. In addition, as a byproduct of these research efforts, I collected a new dataset of depth images of American Sign Language …

Effects Of The Use Of Leaderboards In Education, Yu-Hsien Chiu, Fiona Fui-Hoon Nah

Research Collection School Of Computing and Information Systems

Gamification has been used in education to increase student motivation and performance. In this research, we are interested to examine the effect of leaderboards on student motivation by assessing the interest of students to complete optional practice questions provided to them in a course. Based on goal setting theory and cognitive evaluation theory, we hypothesize that the use of leaderboards will lead to increased student motivation. We designed a within-subject experiment where leaderboards were not provided in the first half of the semester for the optional assignments comprising practice questions but were provided in the second half of the semester …

Information Fusion Based Techniques For Hevc, D. G. Fernández, A. A. Del Barrio, Guillermo Botella, Uwe Meyer-Baese, Anke Meyer-Baese, Christos Grecos

All Faculty Scholarship for the College of the Sciences

Aiming at the conflict circumstances of multi-parameter H.265/HEVC encoder system, the present paper introduces the analysis of many optimizations' set in order to improve the trade-off between quality, performance and power consumption for different reliable and accurate applications. This method is based on the Pareto optimization and has been tested with different resolutions on real-time encoders.

Pre-Processing Techniques To Improve Hevc Subjective Quality, D. G. Fernández, A. A. Del Barrio, Guillermo Botella, Uwe Meyer-Baese, Anke Meyer-Baese, Christos Grecos

All Faculty Scholarship for the College of the Sciences

Nowadays, HEVC is the cutting edge encoding standard being the most efficient solution for transmission of video content. In this paper a subjective quality improvement based on pre-processing algorithms for homogeneous and chaotic regions detection is proposed and evaluated for low bit-rate applications at high resolutions. This goal is achieved by means of a texture classification applied to the input frames. Furthermore, these calculations help also reduce the complexity of the HEVC encoder. Therefore both the subjective quality and the HEVC performance are improved.

A Graph Description Language For Blind Programmers, Dale E. Parson, Genevieve Smith, Andrew Wernicki

Computer Science and Information Technology Faculty

Sighted people often overestimate the usefulness of tactile diagrams for blind people who need to perceive and comprehend entities and relationships in visual structural graphs. Sighted software developers can acquire an overview of the structure of a Unified Modeling Language (UML) design diagram after a quick visual scan. Blind developers using tactile diagrams are impeded by the serial nature of scanning these diagrams with their fingers. However, blind programmers are experts at using text-to-speech screen readers to verbalize lines of existing code at a very rapid rate. Comprehending and debugging code with a screen reader happens extremely quickly because blind …

Toward An Iot-Based Expert System For Heart Disease Diagnosis, Do Thanh Thai, Quang Tran Minh, Phu Huu Phung

Computer Science Faculty Publications

IoT technology has been recently adopted in the healthcare system to collect Electrocardiogram (ECG) signals for heart disease diagnosis and prediction. However, noises in collected ECG signals make the diagnosis and prediction system unreliable and imprecise. In this work, we have proposed a new lightweight approach to removing noises in collected ECG signals to perform precise diagnosis and prediction. First, we have used a revised Sequential Recursive (SR) algorithm to transform the signals into digital format. Then, the digital data is proceeded using a revised Discrete Wavelet Transform (DWT) algorithm to detect peaks in the data to remove noises. Finally, …