@article{Nazemi2019,

title = {Visual analytical dashboards for comparative analytical tasks – a case study on mobility and transportation},

author = {Kawa Nazemi and Dirk Burkhardt},

url = {http://www.sciencedirect.com/science/article/pii/S1877050919301243, Link to Publisher},

doi = {10.1016/j.procs.2019.01.117},

issn = {1877-0509},

year  = {2019},

date = {2019-01-01},

journal = {ICTE in Transportation and Logistics 2018 (ICTE 2018)},

volume = {149},

pages = {138-150},

series = {Procedia Computer Science},

abstract = {Mobility, logistics and transportation are emerging fields of research and application. Humans’ mobility behavior plays an increasing role for societal challenges. Beside the societal challenges these areas are strongly related to technologies and innovations. Gathering information about emerging technologies plays an increasing role for the entire research in these areas. Humans’ information processing can be strongly supported by Visual Analytics that combines automatic modelling and interactive visualizations. The juxtapose orchestration of interactive visualization enables gathering more information in a shorter time. We propose in this paper an approach that goes beyond the established methods of dashboarding and enables visualizing different databases, data-sets and sub-sets of data with juxtaposed visual interfaces. Our approach should be seen as an expandable method. Our main contributions are an in-depth analysis of visual task models and an approach for juxtaposing visual layouts as visual dashboards to enable solving complex tasks. We illustrate our main outcome through a case study that investigates the area of mobility and illustrates how complex analytical tasks can be performed easily by combining different visual interfaces.},

keywords = {Data Analytics, Information visualization, Mobility, Prediction, Transportation, Visual analytics, Visual Interfaces, Visual Tasks},

pubstate = {published},

tppubtype = {article}

}