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A Mobile Visual Analytics Approach for Instant Trend Analysis in Mobile Contexts

 
: Burkhardt, Dirk; Nazemi, Kawa; Kuijper, Arjan; Ginters, Egils

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Volltext (PDF; - Gesamter Tagungsband)

Bruzzone, Agostino G. (Ed.):
5th International Conference of the Virtual and Augmented Reality in Education, VARE 2019. Proceedings : September 18-20, 2019, Lisbon, Portugal
Rende, Italy, 2019
ISBN: 978-88-85741-42-3
ISBN: 978-88-85741-41-6
S.11-19
International Conference of the Virtual and Augmented Reality in Education (VARE) <5, 2019, Lisbon>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IGD ()
Human-computer interaction (HCI); information visualization; mobile devices; Lead Topic: Smart City; Research Line: Human computer interaction (HCI); Research Line: Machine Learning (ML)

Abstract
The awareness of market trends becomes relevant for a broad number of market branches, in particular the more they are challenged by the digitalization. Trend analysis solutions help business executives identifying upcoming trends early. But solid market analysis takes their time and are often not available on consulting or strategy discussions. This circumstance often leads to unproductive debates where no clear strategy, technology etc. could be identified. Therefore, we propose a mobile visual trend analysis approach that enables a quick trend analysis to identify at least the most relevant and irrelevant aspects to focus debates on the relevant options. To enable an analysis like this, the exhausting analysis on powerful workstations with large screens has to adopted to mobile devices within a mobile behavior. Our main contribution is the therefore a new approach of a mobile knowledge cockpit, which provides different analytical visualizations within and intuitive interaction design.

: http://publica.fraunhofer.de/dokumente/N-633096.html