2017
DOI: 10.1145/3095805
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Input Controls for Entering Uncertain Data

Abstract: Although more and more data is collected automatically, many interfaces still require manual input. When we, for example, enter our daily calorie intake or calculate our ecological footprint, we often have to guess the weight of the food or what distance we have covered with our car. In this paper, we propose a solution to overcome the problem of forcing users to enter a single value when they are unsure about the actual input. On the basis of a slider, we designed four input controls which allow the input of … Show more

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Cited by 29 publications
(18 citation statements)
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“…Research in capturing and reducing uncertainty has been largely focused on GUIs. Greis et al [5] propose graphical probability distribution sliders with varying degrees of freedom. The study shows that users with limited statistical knowledge perform best using the range slider, which has two degrees of freedom.…”
Section: Background and Related Workmentioning
confidence: 99%
See 2 more Smart Citations
“…Research in capturing and reducing uncertainty has been largely focused on GUIs. Greis et al [5] propose graphical probability distribution sliders with varying degrees of freedom. The study shows that users with limited statistical knowledge perform best using the range slider, which has two degrees of freedom.…”
Section: Background and Related Workmentioning
confidence: 99%
“…Users face uncertainty every day when they produce data themselves, e.g., recording calorie intake or booking flights. Whether users are the source of uncertainty or the mediator of uncertain data, input mechanisms need to support uncertain input to produce valid data containing uncertainty [1] [5]. When the input uncertainty is well communicated, one can make better decisions when later analyzing the data [9] [16].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…This is a meaningful approach because readers can achieve a better understanding of computational results if they are given some control over what is shown in the figure (Wacharamanotham et al, 2015). In addition, interactive figures are also desirable for authors because, according to Greis et al (2017), authors' analyses of their data might be based on an inaccurate implementation of the model or uncertain data due to, for example, imprecise measurements. For this reason, they suggest attaching sliders to figures which allow users to define a range as input.…”
Section: Creating Interactive Papersmentioning
confidence: 99%
“…According to Greis et al, an analysis might be based on an inaccurate implementation of the model or on uncertain data due to, for example, imprecise measurements [19]. For this reason, they suggest attaching sliders to figures which allow users to define a range as input.…”
Section: Creating Interactive Papersmentioning
confidence: 99%