Literature DB >> 28866515

VISTILES: Coordinating and Combining Co-located Mobile Devices for Visual Data Exploration.

Ricardo Langner, Tom Horak, Raimund Dachselt.   

Abstract

We present VISTILES, a conceptual framework that uses a set of mobile devices to distribute and coordinate visualization views for the exploration of multivariate data. In contrast to desktop-based interfaces for information visualization, mobile devices offer the potential to provide a dynamic and user-defined interface supporting co-located collaborative data exploration with different individual workflows. As part of our framework, we contribute concepts that enable users to interact with coordinated & multiple views (CMV) that are distributed across several mobile devices. The major components of the framework are: (i) dynamic and flexible layouts for CMV focusing on the distribution of views and (ii) an interaction concept for smart adaptations and combinations of visualizations utilizing explicit side-by-side arrangements of devices. As a result, users can benefit from the possibility to combine devices and organize them in meaningful spatial layouts. Furthermore, we present a web-based prototype implementation as a specific instance of our concepts. This implementation provides a practical application case enabling users to explore a multivariate data collection. We also illustrate the design process including feedback from a preliminary user study, which informed the design of both the concepts and the final prototype.

Entities:  

Year:  2017        PMID: 28866515     DOI: 10.1109/TVCG.2017.2744019

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  1 in total

1.  Privacy-aware sharing and collaborative analysis of personal wellness data: Process model, domain ontology, software system and user trial.

Authors:  Lauri Tuovinen; Alan F Smeaton
Journal:  PLoS One       Date:  2022-04-07       Impact factor: 3.240

  1 in total

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