Towards estimating happiness using social sensing: Perspectives on organizational social network analysis

Martin Atzmueller, Daan Kolkman, Werner Liebregts, Arjan Haring

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Abstract

Social sensing provides many opportunities for observing human behavior
utilizing objective (sensor) measurements. This paper describes an approach
for analyzing organizational social networks capturing face-to-face contacts
between individuals. Furthermore, we outline perspectives and scenarios for
an extended analysis in order to estimate happiness in the context of organizational social networks.
Original languageEnglish
Title of host publicationProceedings of the Workshop on Affective Computing and Context Awareness in Ambient Intelligence (AfCAI 2018)
EditorsG.J. Nalepa, V. Julian, J.T. Palma Mendez, A. Costa, C. Carrascosa, P. Novais
Place of PublicationValencia
PublisherCEUR Workshop Proceedings
Number of pages9
Publication statusPublished - 2018

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Keywords

  • social sensing
  • social network analysis
  • happiness
  • organizational networks

Cite this

Atzmueller, M., Kolkman, D., Liebregts, W., & Haring, A. (2018). Towards estimating happiness using social sensing: Perspectives on organizational social network analysis. In G. J. Nalepa, V. Julian, J. T. Palma Mendez, A. Costa, C. Carrascosa, & P. Novais (Eds.), Proceedings of the Workshop on Affective Computing and Context Awareness in Ambient Intelligence (AfCAI 2018) [7] CEUR Workshop Proceedings.