• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. A Mobile Visual Analytics Approach for Instant Trend Analysis in Mobile Contexts
 
  • Details
  • Full
Options
2019
Conference Paper
Title

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

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.
Author(s)
Burkhardt, Dirk
Hochschule Darmstadt
Nazemi, Kawa
Hochschule Darmstadt
Kuijper, Arjan  orcid-logo
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Ginters, Egils
Riga Technical Univ.
Mainwork
5th International Conference of the Virtual and Augmented Reality in Education, VARE 2019. Proceedings  
Conference
International Conference of the Virtual and Augmented Reality in Education (VARE) 2019  
Link
Link
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • Human-computer interaction (HCI)

  • information visualization

  • mobile devices

  • Lead Topic: Smart City

  • Research Line: Human computer interaction (HCI)

  • Research Line: Machine Learning (ML)

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024