EuroVisShort2018

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https://diglib.eg.org/handle/10.2312/2632400

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Browsing EuroVisShort2018 by Subject "Empirical studies in visualization"

Now showing 1 - 3 of 3
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    Risk Fixers and Sweet Spotters: a Study of the Different Approaches to Using Visual Sensitivity Analysis in an Investment Scenario
    (The Eurographics Association, 2018) Torsney-Weir, Thomas; Afroozeh, Shahrzad; Sedlmair, Michael; Möller, Torsten; Jimmy Johansson and Filip Sadlo and Tobias Schreck
    We present an empirical study that illustrates how individual users' decision making preferences and biases influence visualization design choices. Twenty-three participants, in a lab study, were shown two interactive financial portfolio optimization interfaces which allowed them to adjust the return for the portfolio and view how the risk changes. One interface showed the sensitivity of the risk to changes in the return and one did not have this feature. Our study highlights two classes of users. One which preferred the interface with the sensitivity feature and one group that does not prefer the sensitivity feature. We named these two groups the ''risk fixers'' and the ''sweet spotters'' due to the analysis method they used. The ''risk fixers'' selected a level of risk which they were comfortable with while the ''sweet spotters'' tried to find a point right before the risk increased greatly. Our study shows that exposing the sensitivity of investment parameters will impact the investment decision process and increase confidence for these ''sweet spotters.'' We also discuss the implications for design.
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    Sketching Temporal Uncertainty - An Exploratory User Study
    (The Eurographics Association, 2018) Schwarzinger, Fabian; Roschal, Andreas; Gschwandtner, Theresia; Jimmy Johansson and Filip Sadlo and Tobias Schreck
    Real world datasets frequently contain inherent uncertainty of some kind. Most of the work in the context of visualizing temporal uncertainty, focus on evaluating and comparing different visualization approaches. This effort may yield answers about the chosen techniques, but usually leaves the question open if there are other approaches, which would be more intuitive to the users. To answer this question, we conducted an exploratory user study. 32 participants were asked to draw sketches how they would visualize given scenarios about temporal uncertainty. The collected drawings were analyzed using an open coding approach. These results are presented and four hypotheses, meant to guide future research, are derived.
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    Using a Task Classification in the Visualisation Design Process for Task Understanding and Abstraction: an Empirical Study
    (The Eurographics Association, 2018) Kerracher, Natalie; Kennedy, Jessie B.; Chalmers, Kevin; Jimmy Johansson and Filip Sadlo and Tobias Schreck
    Task classifications are widely purported to be useful in the design process, with various suggestions having been made for their use at the different stages. However, little has been written regarding the actual use of task classifications in these design scenarios or reflection on the success (or otherwise) of employing them in this respect. In this paper we explore the use of a task classification at the task understanding and abstraction stages of the design process. Specifically, we use a task classification to overcome some of the known problems of eliciting tasks from domain experts during requirements gathering and as a lexicon for task abstraction. Our initial findings suggest that using a task classification helps domain experts to articulate tasks which they may not otherwise have identified. Using a task classification for task abstraction allowed us to characterise tasks in a consistent manner and organise them to establish the most commonly occurring and important tasks.