<i>Probablement, Wahrscheinlich, Likely</i>? A Cross-Language Study of How People Verbalize Probabilities in Icon Array Visualizations

Rakotondravony, Noëlle; Ding, Yiren; Harrison, Lane

doi:10.1109/tvcg.2022.3209367

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Empirical Studies In Visualization1

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2023

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Cited by 2 publications

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“…Notably, many recent studies are conducted as online experiments, placing a high technical burden on the experimenters. Also, while some examples use standard form fields for responses, others require custom widgets for providing answers such as for drawing bars [13] or icon arrays [18].…”

Section: Empirical Studies In Visualizationmentioning

confidence: 99%

reVISit: Supporting Scalable Evaluation of Interactive Visualizations

Ding,

Wilburn,

Shrestha

et al. 2023

2023 IEEE Visualization and Visual Analytics (VIS)

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Figure 1: The workflow of generating a study with reVISit. First, an experimenter generates a (1) study specification describing the study using the reVISit DSL. They also create (2) study stimuli and components such as consent forms and trainings. Stimuli and components can be specified as HTML pages, markdown, static images, React components, etc. The specification and the study components are then compiled to an (3) interactive web app, which can be deployed to the web. The web app includes an admin interface for quickly browsing and debugging a study. Data from the study can either be (4) downloaded at the end of a trial, or stored on a server. Collected data can be (5) analyzed with external software such as R and SPSS, or examined and analyzed using the reVISit analytics interface [15].

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Section: Empirical Studies In Visualizationmentioning

confidence: 99%