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Graphics and Human Computer Interfaces Commons™
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Articles 1 - 5 of 5
Full-Text Articles in Graphics and Human Computer Interfaces
Performative Mixing For Immersive Audio, Brian A. Elizondo
Performative Mixing For Immersive Audio, Brian A. Elizondo
LSU Doctoral Dissertations
Immersive multichannel audio can be produced with specialized setups of loudspeakers, often surrounding the audience. These setups can feature as few as four loudspeakers or more than 300. Performative mixing in these environments requires a bespoke solution offering intuitive gestural control. Beyond the usual faders for gain control, advancements in multichannel sound demand interfaces capable of quickly positioning sounds between channels. The Quad Cartesian Positioner is such a solution in the form of a Eurorack module for surround mixing for use in live or studio performances.
Diffusion/mixing methods for live multichannel immersive music often rely on the repurposing of hardware …
Visual Analytics And Modeling Of Materials Property Data, Diwas Bhattarai
Visual Analytics And Modeling Of Materials Property Data, Diwas Bhattarai
LSU Doctoral Dissertations
Due to significant advancements in experimental and computational techniques, materials data are abundant. To facilitate data-driven research, it calls for a system for managing and sharing data and supporting a set of tools for effective data analysis and modeling. Generally, a given material property M can be considered as a multivariate data problem. The dimensions of M are the values of the property itself, the conditions (pressure P, temperature T, and multi-component composition X) that control the concerned property, and relevant metadata I (source, date).
Here we present a comprehensive database considering both experimental and computational sources …
Musical Gesture Through The Human Computer Interface: An Investigation Using Information Theory, Michael Vincent Blandino
Musical Gesture Through The Human Computer Interface: An Investigation Using Information Theory, Michael Vincent Blandino
LSU Doctoral Dissertations
This study applies information theory to investigate human ability to communicate using continuous control sensors with a particular focus on informing the design of digital musical instruments. There is an active practice of building and evaluating such instruments, for instance, in the New Interfaces for Musical Expression (NIME) conference community. The fidelity of the instruments can depend on the included sensors, and although much anecdotal evidence and craft experience informs the use of these sensors, relatively little is known about the ability of humans to control them accurately. This dissertation addresses this issue and related concerns, including continuous control performance …
Mobile Music Development Tools For Creative Coders, Daniel Stuart Holmes
Mobile Music Development Tools For Creative Coders, Daniel Stuart Holmes
LSU Doctoral Dissertations
This project is a body of work that facilitates the creation of musical mobile artworks. The project includes a code toolkit that enhances and simplifies the development of mobile music iOS applications, a flexible notation system designed for mobile musical interactions, and example apps and scored compositions to demonstrate the toolkit and notation system.
The code library is designed to simplify the technical aspect of user-centered design and development with a more direct connection between concept and deliverable. This sim- plification addresses learning problems (such as motivation, self-efficacy, and self-perceived understanding) by bridging the gap between idea and functional prototype …
Effective Visualization Approaches For Ultra-High Dimensional Datasets, Gurminder Kaur
Effective Visualization Approaches For Ultra-High Dimensional Datasets, Gurminder Kaur
LSU Doctoral Dissertations
Multivariate informational data, which are abstract as well as complex, are becoming increasingly common in many areas such as scientific, medical, social, business, and so on. Displaying and analyzing large amounts of multivariate data with more than three variables of different types is quite challenging. Visualization of such multivariate data suffers from a high degree of clutter when the numbers of dimensions/variables and data observations become too large. We propose multiple approaches to effectively visualize large datasets of ultrahigh number of dimensions by generalizing two standard multivariate visualization methods, namely star plot and parallel coordinates plot. We refine three variants …