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Mass Survey for Demand Analysis

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Developing Support Technologies

Part of the book series: Biosystems & Biorobotics ((BIOSYSROB,volume 23))

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Abstract

In the ongoing digitalization of society new technical systems and technologies are increasingly penetrating people’s everyday lives. In order to be able to analyze the resulting complex interactions and forms of networking, a participative approach is needed to identify the needs of these user groups. Empirical studies, e.g., mass studies, are important because it may be required that many stakeholders have to be questioned in a short period. In this article, various methodological approaches are presented using best practice examples to show the strengths and weaknesses of these methods.

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Acknowledgements

This publication is part of the research project “TECH4AGE,” financed by the Federal Ministry of Education and Research (BMBF, under Grant No. 16SV7111) and promoted by VDI/VDE Innovation + Technik GmbH.

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Authors and Affiliations

  1. Institute of Industrial Engineering and Ergonomics, RWTH Aachen University, Aachen, Germany

    Alexander Mertens, Katharina Schäfer, Sabine Theis, Christina Bröhl, Peter Rasche & Matthias Wille

Authors
  1. Alexander Mertens
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  2. Katharina Schäfer
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  3. Sabine Theis
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  4. Christina Bröhl
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  5. Peter Rasche
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  6. Matthias Wille
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Corresponding author

Correspondence to Alexander Mertens .

Editor information

Editors and Affiliations

  1. Laboratory of Manufacturing Technology, Helmut Schmidt University/University of the Federal Armed Forces Hamburg, Hamburg, Germany

    Athanasios Karafillidis

  2. Laboratory of Manufacturing Technology, Helmut Schmidt University/University of the Federal Armed Forces Hamburg, Hamburg, Germany

    Robert Weidner

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Mertens, A., Schäfer, K., Theis, S., Bröhl, C., Rasche, P., Wille, M. (2018). Mass Survey for Demand Analysis. In: Karafillidis, A., Weidner, R. (eds) Developing Support Technologies. Biosystems & Biorobotics, vol 23. Springer, Cham. https://doi.org/10.1007/978-3-030-01836-8_6

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  • DOI: https://doi.org/10.1007/978-3-030-01836-8_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-01835-1

  • Online ISBN: 978-3-030-01836-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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