Chair: Duncan Brumby, University College London, UK
Color Naming Models for Color Selection, Image Editing and Palette Design
Contribution & Benefit: Contributes methods for constructing probabilistic models of color naming from unconstrained color-name judgments. These models enable new ways for users to express colors and evaluate their designs.
Abstract » Our ability to reliably name colors provides a link between visual perception and symbolic cognition. In this paper, we investigate how a statistical model of color naming can enable user interfaces to meaningfully mimic this link and support novel interactions. We present a method for constructing a probabilistic model of color naming from a large, unconstrained set of human color name judgments. We describe how the model can be used to map between colors and names and define metrics for color saliency (how reliably a color is named) and color name distance (the similarity between colors based on naming patterns). We then present a series of applications that demonstrate how color naming models can enhance graphical interfaces: a color dictionary & thesaurus, name-based pixel selection methods for image editing, and evaluation aids for color palette design.ACM
The Untapped Promise of Digital Mind Maps
Contribution & Benefit: Existing mind mapping software applications have been evaluated, ethnographic research performed, and a framework of principles has been developed to inform the design of future tools for collaborative knowledge management.
Abstract » Digital mind mapping tools present a fertile area for research on human-computer interaction. We evaluated numerous existing mind mapping software applications, performed ethnographic research with a variety of users, and developed a framework of principles to inform the design of future tools for collaborative knowledge management. Our findings suggest an opportunity to advance digital mind mapping beyond the existing state-of-the-art, particularly in the areas of improving workflow, facilitating collaboration, and supporting information storage and retrieval. We conclude with suggestions for how to improve digital mind mapping systems, specifically with regard to real-time collaborative thinking.ACM
Delta: A Tool For Representing and Comparing Workflows
Contribution & Benefit: Describes a system that aids users in comparing workflows, specifically those used in image-editing tasks. Can assist designers in developing tools for comparing workflows in various domains.
Abstract » Tutorials and sample workflows for complicated, feature-rich software packages are widely available online. As a result users must differentiate between workflows to choose the most suitable one for their task. We present Delta, an interactive workflow visualization and comparison tool that helps users identify the tradeoffs between workflows. We conducted an initial study to identify the set of attributes users attend to when comparing workflows, finding that they consider result quality, their knowledge of commands, and the efficiency of the workflow. We then designed Delta to surface these attributes at three granularities: a high-level, clustered view; an intermediate-level list view that contains workflow summaries; and a low-level detail view that allows users to compare two individual workflows. Finally, we conducted an evaluation of Delta on a small corpus of 30 workflows and found that the intermediate list view provided the best information density. We conclude with thoughts on how such a workflow comparison system could be scaled up to larger corpora in the future.ACM
QuickDraw : Improving Drawing Experience for Geometric Diagrams
Contribution & Benefit: QuickDraw is a pen-based prototype diagramming that uses constraint inference and a novel beautification algorithm to enable the drawing of precise geometric diagrams
Abstract » We present QuickDraw, a prototype sketch-based drawing ACM
tool, that facilitates drawing of precise geometry diagrams
that are often drawn by students and academics in several
scientific disciplines. Quickdraw can recognize sketched dia-
grams containing components such as line segments and cir-
cles, infer geometric constraints relating recognized compo-
nents, and use this information to beautify the sketched dia-
gram. Beautification is based on a novel algorithm that iter-
atively computes various sub-components of the components
using an extensible set of deductive rules. We conducted a
user study comparing QuickDraw with four state-of-the-art
diagramming tools: Microsoft PowerPoint, Cabri II Plus, Ge-
ometry Expressions and Geometer�s SketchPad. Our study
demonstrates a strong interest among participants for the use
of sketch-based software for drawing geometric diagrams.
We also found that QuickDraw enables users to draw precise
diagrams faster than the majority of existing tools in some
cases, while having them make fewer corrections.