Exploring the Use of Backgrounds in Webconferencing with Image and Text Analysis

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Schneider, J., Hacker, J., Litvinova, J., Handali, J., & vom Brocke, J. (2021). Exploring the Use of Backgrounds in Webconferencing with Image and Text Analysis. Paper presented at the International Conference on Information Systems, Austin, Texas. (VHB_3: A)


Beitrag in Konferenztagungsband


The COVID-19 pandemic accelerated the implementation and adoption of new features in web-conferencing systems (WCSs), such as custom backgrounds (CBs) that mask the real physical background with a custom, i.e., user chosen, background. In this work, we explore what types of backgrounds are selected and why they are used by analyzing text and images from Twitter. We find that different types of CBs allow users to satisfy psychological needs in virtual collaboration and identify emerging practices regarding the selection of backgrounds, in general, and with respect to gender differences. Our analysis reveals that CBs showing real objects get commonly replaced or augmented by artificial, non-photorealistic content such as cartoon style memes, scenes of computer games or company logos. By leveraging novel image analysis techniques, we also contribute methodologically to social media analytics.



  • Institut für Wirtschaftsinformatik
  • Hilti Lehrstuhl für Business Process Management

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