#user study
10 resultsHuman Perceptual Evaluations for Image Compression
Yash Patel, Srikar Appalaraju, R. Manmatha
The paper conducts human user studies to show that deep‑learning image compression methods optimized for higher MS‑SSIM scores can actually look worse to people than traditional co…
What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use
Sana Tonekaboni, Shalmali Joshi, Melissa D McCradden +1
The paper reports a survey of ICU and emergency department clinicians to identify which types of explanations from machine‑learning models best foster trust and adoption in clinica…
Visualising Geographically-Embedded Origin-Destination Flows: in 2D and immersive environments
Yalong Yang
The thesis investigates and evaluates visualization techniques for origin‑destination flows on geographic maps, creating designs for both 2D and immersive environments and testing…
Many-to-Many Geographically-Embedded Flow Visualisation: An Evaluation
Yalong Yang, Tim Dwyer, Sarah Goodwin +1
The paper evaluates visual representations for dense many-to-many geographic flows, comparing bundled node‑link flow maps, OD Maps, and a new method called MapTrix.
Maps and Globes in Virtual Reality
Yalong Yang, Bernhard Jenny, Tim Dwyer +3
The paper compares four VR visualizations of world maps—a 3D exocentric globe, a flat map, an egocentric globe, and a curved map—and finds that exocentric globes generally provide…
Assessing the Local Interpretability of Machine Learning Models
Dylan Slack, Sorelle A. Friedler, Carlos Scheidegger +1
The paper investigates how well humans can understand and predict the behavior of machine learning models using two notions of local interpretability—simulatability and what‑if exp…
Investigating Direct Manipulation of Graphical Encodings as a Method for User Interaction
Bahador Saket, Samuel Huron, Charles Perin +1
The paper studies how users perform direct manipulation of graphical encodings in visualizations, presenting a qualitative study of 15 operations to identify strategies and design…
Evaluating Ordering Strategies of Star Glyph Axes
Matthias Miller, Xuan Zhang, Johannes Fuchs +1
The paper reports a user study that compares similarity‑based and dissimilarity‑based ordering of dimensions in star glyph visualizations, showing that dissimilarity‑based layouts…
Color Crafting: Automating the Construction of Designer Quality Color Ramps
Stephen Smart, Keke Wu, Danielle Albers Szafir
The paper introduces an algorithm that automatically creates designer-quality sequential and diverging color ramps from a single seed color by learning patterns from a corpus of ex…
Augmenting Music Sheets with Harmonic Fingerprints
Matthias Miller, Alexandra Bonnici, Mennatallah El-Assady
The paper introduces a visualization technique that adds harmonic fingerprint glyphs, based on the circle-of-fifths concept, to digital music sheets to help students and musicians…