The Visualization of the Evolution of Cultural Models

Information

  • Publication Type: Bachelor Thesis
  • Workgroup(s)/Project(s):
  • Date: August 2019
  • Date (to): 13. August 2019
  • Matrikelnummer: 01614855
  • First Supervisor: Renata Raidou

Abstract

Culture is a fascinating phenomenon influencing various aspects of our lives. Cultural models seek to describe the complex structure of ethical and societal values. Two main cultural models have been defined so far: the Hofstede model [Hof11] and the GLOBE project [GLO04]. Both models define similar attributes to describe characteristics of a society, summarized in so-called cultural dimensions. To better understand the complexity of cultural models and the information given there are tools that visualize the complex data provided. Current tools for the visualization of cultural models make use of barcharts, boxplots and scatterplots, while only covering a small part of the data and information given. The existing tools do not cover the information completely and miss vital aspects. We want to fill these gaps and seek to find a way to easily compare selected data with each other. Moreover, we want to design a visualization that can identify cultures and cultural regions. We try to create a tool to visualize cultural models. The tool displays the given data in an easy way, by using new approaches and improving existing ones. First, we analyze the data given, to crystallize the core information and main feature of our visualization. Next, the goal is to define the advantages and disadvantages of the current and latest visualization approaches. By combining the strengths and improving the weaknesses of these existing tools we try to specify the difficulties and goals we want to achieve with the new approach. Lastly, we look at ongoing cultural applications by using the developed visualization tool and look for similarities where we do not expect them.

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BibTeX

@bachelorsthesis{Bayat_2019,
  title =      "The Visualization of the Evolution of Cultural Models",
  author =     "Hannah Clara Bayat",
  year =       "2019",
  abstract =   "Culture is a fascinating phenomenon influencing various
               aspects of our lives. Cultural models seek to describe the
               complex structure of ethical and societal values. Two main
               cultural models have been defined so far: the Hofstede model
               [Hof11] and the GLOBE project [GLO04]. Both models define
               similar attributes to describe characteristics of a society,
               summarized in so-called cultural dimensions. To better
               understand the complexity of cultural models and the
               information given there are tools that visualize the complex
               data provided. Current tools for the visualization of
               cultural models make use of barcharts, boxplots and
               scatterplots, while only covering a small part of the data
               and information given. The existing tools do not cover the
               information completely and miss vital aspects. We want to
               fill these gaps and seek to find a way to easily compare
               selected data with each other. Moreover, we want to design a
               visualization that can identify cultures and cultural
               regions. We try to create a tool to visualize cultural
               models. The tool displays the given data in an easy way, by
               using new approaches and improving existing ones. First, we
               analyze the data given, to crystallize the core information
               and main feature of our visualization. Next, the goal is to
               define the advantages and disadvantages of the current and
               latest visualization approaches. By combining the strengths
               and improving the weaknesses of these existing tools we try
               to specify the difficulties and goals we want to achieve
               with the new approach. Lastly, we look at ongoing cultural
               applications by using the developed visualization tool and
               look for similarities where we do not expect them.",
  month =      aug,
  address =    "Favoritenstrasse 9-11/E193-02, A-1040 Vienna, Austria",
  school =     "Research Unit of Computer Graphics, Institute of Visual
               Computing and Human-Centered Technology, Faculty of
               Informatics, TU Wien ",
  URL =        "/research/publications/2019/Bayat_2019/",
}