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Statistics-IDE: Supporting the Design of Empirical Experiments for Non-experts During Early Stages of Research Projects

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Intelligent Human Systems Integration (IHSI 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 722))

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Abstract

Empirical experimentation and inferential statistics are often perceived as challenging among students and researchers. Yet, empirical experiments are highly relevant and appropriate methods in several areas of ergonomics and human computer interaction. This paper argues that the traditional research proposal written in prose is an ineffective mechanism for ensuring sound experiments. This paper discusses the idea of tool-based support for the design of quantitative experiments. The objective of an experimental design tool is to help the experimenter make correct and wise decisions early in the process by providing feedback on ideas at early stages. We discuss the benefits of the IDE (Integrated Development Environment) paradigm as a platform for designing quantitative experiments.

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Author information

Authors and Affiliations

  1. Faculty of Technology, Art and Design, Oslo and Akershus University College of Applied Sciences, Oslo, Norway

    Frode Eika Sandnes & Evelyn Eika

  2. Westerdals Oslo School of Art, Communication and Technology, Oslo, Norway

    Frode Eika Sandnes

Authors
  1. Frode Eika Sandnes
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  2. Evelyn Eika
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Corresponding author

Correspondence to Frode Eika Sandnes .

Editor information

Editors and Affiliations

  1. University of Central Florida, Orlando, Florida, USA

    Waldemar Karwowski

  2. University of Central Florida, Orlando, Florida, USA

    Tareq Ahram

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Sandnes, F.E., Eika, E. (2018). Statistics-IDE: Supporting the Design of Empirical Experiments for Non-experts During Early Stages of Research Projects. In: Karwowski, W., Ahram, T. (eds) Intelligent Human Systems Integration. IHSI 2018. Advances in Intelligent Systems and Computing, vol 722. Springer, Cham. https://doi.org/10.1007/978-3-319-73888-8_78

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  • DOI: https://doi.org/10.1007/978-3-319-73888-8_78

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73887-1

  • Online ISBN: 978-3-319-73888-8

  • eBook Packages: EngineeringEngineering (R0)

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