Technology Enhances the Arts

Test how AI-assisted sketching changes user agency with questionnaires, controlled design, and basic stats for a strong human-computer interaction project.

Measure how spin decay changes drawing accuracy in a self-balancing art robot, then analyze pattern fidelity with motion data and image analysis.

Build and test an AR board game, then measure player feel, segmentation accuracy, and AI behavior with human data and UX analysis.

Test how equation curvature affects 3D print success while you practice surface meshing, support design, and model analysis.

Build a painter robot and test how stroke planning changes aesthetic ratings, control accuracy, and image quality versus raster output.

Build a choir blend model that uses voice separation, EQ analysis, and listener ratings to measure perceptual fusion in ensemble singing.

Build and test a sensor glove that recognizes ASL letters and measures whether tactile feedback improves letter learning over time.

Build and test a dialect voice converter, then measure how well it preserves pronunciation, rhythm, and naturalness with MOS scores.

Test how projection mapping and relighting change perceived material appearance, then analyze user ratings, depth registration, and shader design.

Build and test a contactless theremin mapping, then measure how hand control and pitch error change as beginners learn.