114,619 research outputs found
User Preferences of Spatio-Temporal Referencing Approaches For Immersive 3D Radar Charts
The use of head-mounted display technologies for virtual reality experiences
is inherently single-user-centred, allowing for the visual immersion of its
user in the computer-generated environment. This isolates them from their
physical surroundings, effectively preventing external visual information cues,
such as the pointing and referral to an artifact by another user. However, such
input is important and desired in collaborative scenarios when exploring and
analyzing data in virtual environments together with a peer. In this article,
we investigate different designs for making spatio-temporal references, i.e.,
visually highlighting virtual data artifacts, within the context of
Collaborative Immersive Analytics. The ability to make references to data is
foundational for collaboration, affecting aspects such as awareness, attention,
and common ground. Based on three design options, we implemented a variety of
approaches to make spatial and temporal references in an immersive virtual
reality environment that featured abstract visualization of spatio-temporal
data as 3D Radar Charts. We conducted a user study (n=12) to empirically
evaluate aspects such as aesthetic appeal, legibility, and general user
preference. The results indicate a unified favour for the presented location
approach as a spatial reference while revealing trends towards a preference of
mixed temporal reference approaches dependent on the task configuration:
pointer for elementary, and outline for synoptic references. Based on immersive
data visualization complexity as well as task reference configuration, we argue
that it can be beneficial to explore multiple reference approaches as
collaborative information cues, as opposed to following a rather uniform user
interface design.Comment: 29 pages, 9 figures, 1 tabl
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Facilitating insight into a simulation model using visualization and dynamic model previews
This paper shows how model simplification, by replacing iterative steps with unitary predictive equations, can enable dynamic interaction with a complex simulation process. Model previews extend the techniques of dynamic querying and query previews into the context of ad hoc simulation model exploration. A case study is presented within the domain of counter-current chromatography. The relatively novel method of insight evaluation was applied, given the exploratory nature of the task. The evaluation data show that the trade-off in accuracy is far outweighed by benefits of dynamic interaction. The number of insights gained using the enhanced interactive version of the computer model was more than six times higher than the number of insights gained using the basic version of the model. There was also a trend for dynamic interaction to facilitate insights of greater domain importance
Specification and implementation of mapping rule visualization and editing : MapVOWL and the RMLEditor
Visual tools are implemented to help users in defining how to generate Linked Data from raw data. This is possible thanks to mapping languages which enable detaching mapping rules from the implementation that executes them. However, no thorough research has been conducted so far on how to visualize such mapping rules, especially if they become large and require considering multiple heterogeneous raw data sources and transformed data values. In the past, we proposed the RMLEditor, a visual graph-based user interface, which allows users to easily create mapping rules for generating Linked Data from raw data. In this paper, we build on top of our existing work: we (i) specify a visual notation for graph visualizations used to represent mapping rules, (ii) introduce an approach for manipulating rules when large visualizations emerge, and (iii) propose an approach to uniformly visualize data fraction of raw data sources combined with an interactive interface for uniform data fraction transformations. We perform two additional comparative user studies. The first one compares the use of the visual notation to present mapping rules to the use of a mapping language directly, which reveals that the visual notation is preferred. The second one compares the use of the graph-based RMLEditor for creating mapping rules to the form-based RMLx Visual Editor, which reveals that graph-based visualizations are preferred to create mapping rules through the use of our proposed visual notation and uniform representation of heterogeneous data sources and data values. (C) 2018 Elsevier B.V. All rights reserved
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