Paper Info
Title
Supporting Analytical Reasoning A Study From The Automotive Industry
Abstract
In the era of big data, it is imperative to assist the human analyst in the endeavor to find solutions to ill-defined problems, i.e. to "detect the expected and discover the unexpected" [23]. To their aid, a plethora of analysis support systems is available to the analysts. However, these support systems often lack visual and interactive features, leaving the analysts with no opportunity to guide, influence and even understand the automatic reasoning performed and the data used. Yet, to be able to appropriately support the analysts in their sense-making process, we must look at this process more closely. In this paper, we present the results from interviews performed together with data analysts from the automotive industry where we have investigated how they handle the data, analyze it and make decisions based on the data, outlining directions for the development of analytical support systems within the area.
Year
DOI
Venue
2016
10.1007/978-3-319-40397-7_3
HUMAN INTERFACE AND THE MANAGEMENT OF INFORMATION: APPLICATIONS AND SERVICES, PT II
Keywords
Field
DocType
Analytical reasoning, Sense-making, Visual analytics, Truck data analysis, Big data
Data science,Computer science,Support system,Visual analytics,Analytic reasoning,Big data,Automotive industry
Conference
Volume
ISSN
Citations 
9735
0302-9743
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Tove Helldin1768.59
Maria Riveiro213318.64
Sepideh Pashami3216.79
Göran Falkman417322.13
S. Byttner5285.94
Sławomir Nowaczyk67016.61