Using Visual Design Experts in Critique-Based Evaluation of 2D Vector Visualization Methods

Acevedo, Daniel; Jackson, C. Loring; Drury, Fritz; Laidlaw, David H.

doi:10.1109/tvcg.2008.29

Cited by 23 publications

(16 citation statements)

References 23 publications

(31 reference statements)

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“…In addition, Tory and Möller [66] argue that domain expert feedback can be a viable complement to controlled studies, both for heuristic evaluation of usability as well as for understanding the support of high-level cognitive tasks. However, not only the judgment of domain experts but also that of visual experts such as artists, graphic designers, or illustrators can be useful as has been shown in a few cases [1,27,29,30]-in particular since 'critique' as a technique originated from teaching in the visual arts [35]. In visualization, it can be used in combination with techniques such as sketching and ideation when developing new visualization techniques [26].…”

Section: Novel Evaluation Methodsmentioning

confidence: 99%

A Systematic Review on the Practice of Evaluating Visualization

Isenberg

Chen

et al. 2013

IEEE Trans. Visual. Comput. Graphics

274

204

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Section: Novel Evaluation Methodsmentioning

confidence: 99%

A Systematic Review on the Practice of Evaluating Visualization

Isenberg

Chen

et al. 2013

IEEE Trans. Visual. Comput. Graphics

274

204

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“…Derived data like λ 2 (the second eigenvalue of the pressure gradient) [11] may be visualized to help find features of interest like swirl. Some workers discuss visualization needs with artists (i.e., expert visual communicators) who then help design an effective visualization [3]. Our work is related in that we aim to evaluate previously developed visualization methods.…”

Section: Visualization Methodsmentioning

confidence: 99%

Comparing 3D Vector Field Visualization Methods: A User Study

Forsberg

Chen

Laidlaw

2009

IEEE Trans. Visual. Comput. Graphics

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Abstract-In a user study comparing four visualization methods for three-dimensional vector data, participants used visualizations from each method to perform five simple but representative tasks: 1) determining whether a given point was a critical point, 2) determining the type of a critical point, 3) determining whether an integral curve would advect through two points, 4) determining whether swirling movement is present at a point, and 5) determining whether the vector field is moving faster at one point than another. The visualization methods were line and tube representations of integral curves with both monoscopic and stereoscopic viewing. While participants reported a preference for stereo lines, quantitative results showed performance among the tasks varied by method. Users performed all tasks better with methods that: 1) gave a clear representation with no perceived occlusion, 2) clearly visualized curve speed and direction information, and 3) provided fewer rich 3D cues (e.g., shading, polygonal arrows, overlap cues, and surface textures). These results provide quantitative support for anecdotal evidence on visualization methods. The tasks and testing framework also give a basis for comparing other visualization methods, for creating more effective methods, and for defining additional tasks to explore further the tradeoffs among the methods.

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“…This work builds upon recent research that seeks to understand how best to integrate visual artists into designing and evaluating sophisticated data visualizations [19, 1, 21, 14]; researchers and practitioners working in any area of data visualization can adapt our collaborative design process.…”

Section: Iterative Design and Insightsmentioning

confidence: 99%

Trend-Centric Motion Visualization: Designing and Applying a New Strategy for Analyzing Scientific Motion Collections

Schroeder

Korsakov

Knipe

et al. 2014

IEEE Trans. Visual. Comput. Graphics

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In biomechanics studies, researchers collect, via experiments or simulations, datasets with hundreds or thousands of trials, each describing the same type of motion (e.g., a neck flexion-extension exercise) but under different conditions (e.g., different patients, different disease states, pre- and post-treatment). Analyzing similarities and differences across all of the trials in these collections is a major challenge. Visualizing a single trial at a time does not work, and the typical alternative of juxtaposing multiple trials in a single visual display leads to complex, difficult-to-interpret visualizations. We address this problem via a new strategy that organizes the analysis around motion trends rather than trials. This new strategy matches the cognitive approach that scientists would like to take when analyzing motion collections. We introduce several technical innovations making trend-centric motion visualization possible. First, an algorithm detects a motion collection’s trends via time-dependent clustering. Second, a 2D graphical technique visualizes how trials leave and join trends. Third, a 3D graphical technique, using a median 3D motion plus a visual variance indicator, visualizes the biomechanics of the set of trials within each trend. These innovations are combined to create an interactive exploratory visualization tool, which we designed through an iterative process in collaboration with both domain scientists and a traditionally-trained graphic designer. We report on insights generated during this design process and demonstrate the tool’s effectiveness via a validation study with synthetic data and feedback from expert musculoskeletal biomechanics researchers who used the tool to analyze the effects of disc degeneration on human spinal kinematics.

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Using Visual Design Experts in Critique-Based Evaluation of 2D Vector Visualization Methods

Cited by 23 publications

References 23 publications

A Systematic Review on the Practice of Evaluating Visualization

A Systematic Review on the Practice of Evaluating Visualization

Comparing 3D Vector Field Visualization Methods: A User Study

Trend-Centric Motion Visualization: Designing and Applying a New Strategy for Analyzing Scientific Motion Collections

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