| 1. |
- Besançon, Lonni, 1991-, et al.
(author)
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3D Mobile Data Visualization
- 2021
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In: Mobile Data Visualization. - New York : Chapman and Hall/CRC. - 9781003090823 ; , s. 111-150
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Book chapter (other academic/artistic)abstract
- We survey the space of three-dimensional mobile visualizations, that is, 3D abstract or spatial data on mobile 2D displays, or mobile head-mount augmented- and virtual-reality displays. As a playful “case study” we use a scenario from the film “Aliens,” in which a mobile, small-screen visualization device is used to track the movements of enemy aliens around a group of space marines. In this scenario, the marines are overrun by aliens in the ceiling, as their device fails to show them the height dimension of the space around them. We use this example to illustrate how different mobile and 3D interaction techniques could have prevented the misunderstanding in the movie, using both hypothetical descriptions of the improved movie action and a scientific discussion of these scenarios and their implications
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| 2. |
- Besancon, Lonni, et al.
(author)
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Open science saves lives : lessons from the COVID-19 pandemic
- 2021
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In: BMC Medical Research Methodology. - : BMC. - 1471-2288. ; 21:1
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Journal article (other academic/artistic)abstract
- In the last decade Open Science principles have been successfully advocated for and are being slowly adopted in different research communities. In response to the COVID-19 pandemic many publishers and researchers have sped up their adoption of Open Science practices, sometimes embracing them fully and sometimes partially or in a sub-optimal manner. In this article, we express concerns about the violation of some of the Open Science principles and its potential impact on the quality of research output. We provide evidence of the misuses of these principles at different stages of the scientific process. We call for a wider adoption of Open Science practices in the hope that this work will encourage a broader endorsement of Open Science principles and serve as a reminder that science should always be a rigorous process, reliable and transparent, especially in the context of a pandemic where research findings are being translated into practice even more rapidly.
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| 3. |
- Besançon, Lonni, et al.
(author)
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Publishing Visualization Studies as Registered Reports: Expected Benefits and Researchers’ Attitudes
- 2021
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Conference paper (other academic/artistic)abstract
- Background: Registered Reports are publications in which study proposals are peer reviewed and pre-accepted before the study is ran. Their adoption in other disciplines has been found to promote research quality and save time and resources. Objectives: We offer a brief introduction to Registered Reports and their expected benefits for visualization research. We then report a survey of the visualization community on their attitudes towards Registered Reports. This survey takes the form of a quasi Registered Report, the first one presented at a visualization venue as far as we know. Method: We will run an online survey that will be open from the end of August until the day of the alt.VIS workshop. Results: Most respondents expressed interest in Registered Reports as an additional submission format. Junior researchers as well as researchers with prior experience of preregistration tended to be more inclined to adopt this format. However, qualitative feedback highlights several perceived drawbacks and worries about Registered Reports, such as low suitability for some types of research, and increased workload for reviewers and authors. Conclusion: While many respondents expressed interest in (and sometimes enthusiasm for) Registered Reports, many also voiced concerns that should be considered and discussed in the community. Reproducibility: All the material is available on osf.io/4nrma/.
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| 4. |
- Besançon, Lonni, et al.
(author)
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The State of the Art of Spatial Interfaces for 3D Visualization
- 2021
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In: Computer graphics forum (Print). - : WILEY. - 0167-7055 .- 1467-8659. ; 40:1, s. 293-326
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Journal article (peer-reviewed)abstract
- We survey the state of the art of spatial interfaces for 3D visualization. Interaction techniques are crucial to data visualization processes and the visualization research community has been calling for more research on interaction for years. Yet, research papers focusing on interaction techniques, in particular for 3D visualization purposes, are not always published in visualization venues, sometimes making it challenging to synthesize the latest interaction and visualization results. We therefore introduce a taxonomy of interaction technique for 3D visualization. The taxonomy is organized along two axes: the primary source of input on the one hand and the visualization task they support on the other hand. Surveying the state of the art allows us to highlight specific challenges and missed opportunities for research in 3D visualization. In particular, we call for additional research in: (1) controlling 3D visualization widgets to help scientists better understand their data, (2) 3D interaction techniques for dissemination, which are under-explored yet show great promise for helping museum and science centers in their mission to share recent knowledge, and (3) developing new measures that move beyond traditional time and errors metrics for evaluating visualizations that include spatial interaction.
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| 5. |
- Helske, Jouni, et al.
(author)
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Can Visualization Alleviate Dichotomous Thinking? : Effects of Visual Representations on the Cliff Effect
- 2021
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In: IEEE Transactions on Visualization and Computer Graphics. - : IEEE COMPUTER SOC. - 1077-2626 .- 1941-0506. ; 27:8, s. 3397-3409
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Journal article (peer-reviewed)abstract
- Common reporting styles for statistical results in scientific articles, such as p-values and confidence intervals (CI), have been reported to be prone to dichotomous interpretations, especially with respect to the null hypothesis significance testing framework. For example when the p-value is small enough or the CIs of the mean effects of a studied drug and a placebo are not overlapping, scientists tend to claim significant differences while often disregarding the magnitudes and absolute differences in the effect sizes. This type of reasoning has been shown to be potentially harmful to science. Techniques relying on the visual estimation of the strength of evidence have been recommended to reduce such dichotomous interpretations but their effectiveness has also been challenged. We ran two experiments on researchers with expertise in statistical analysis to compare several alternative representations of confidence intervals and used Bayesian multilevel models to estimate the effects of the representation styles on differences in researchers subjective confidence in the results. We also asked the respondents opinions and preferences in representation styles. Our results suggest that adding visual information to classic CI representation can decrease the tendency towards dichotomous interpretations - measured as the cliff effect: the sudden drop in confidence around p-value 0.05 - compared with classic CI visualization and textual representation of the CI with p-values. All data and analyses are publicly available at https://github.com/helske/statvis.
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| 6. |
- Langner, Ricardo, et al.
(author)
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Introduction to Mobile Data Visualization
- 2021
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In: Mobile Data Visualization. - New York : Chapman and Hall/CRC. - 9781003090823 - 9780367534714 ; , s. 1-32
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Book chapter (other academic/artistic)abstract
- We may have an intuitive understanding of what is meant by mobile data visualization. Yet, in the context of data visualization, the term mobile can be interpreted in several ways. For example, it may describe visual representations shown on devices that are inherently mobile. It may also describe visualizations meant to react to viewers who are mobile relative to the display. Alternatively, it may describe visualizations that are themselves mobile across devices and screens, or in space. In this chapter, we propose several characteristics that help us to identify and describe the scope of mobile data visualization. We focus on the characteristics that, particularly in their extremes, differentiate mobile data visualization from other forms of data visualization. These characteristics give rise to dimensions of a design space for mobile data visualization, against which instances may be classified and positioned. We discuss a number of examples to illustrate how the design space makes it possible to describe and compare mobile visualizations.
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