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brownieR: The R-Package for Neuro Information Systems Research

In: Information Systems and Neuroscience

Author

Listed:
  • Sven Michalczyk

    (Karlsruhe Institute of Technology (KIT))

  • Dominik Jung

    (Karlsruhe Institute of Technology (KIT)
    Karlsruhe Decision and Design Lab (KD2Lab))

  • Mario Nadj

    (Karlsruhe Institute of Technology (KIT))

  • Michael T. Knierim

    (Karlsruhe Institute of Technology (KIT))

  • Raphael Rissler

    (Karlsruhe Institute of Technology (KIT))

Abstract

Neuro-Information-Systems (NeuroIS) research has become an established approach in the information systems (IS) discipline for investigating and understanding user behavior. Our outlined package with the name brownieR is a freely-available open source R-package for analyzing NeuroIS data (i.e. the combination of physiological and behavioral data). The central purpose of this work is to instruct researchers how brownieR can be used in IS research by providing a practical guide on how to conduct the analysis of bio-physiological data combined with behavioral data (e.g., from the web, experimental tasks, or log files). Further, the article provides an analysis framework and covers the different stages involved in analyzing physiological data.

Suggested Citation

  • Sven Michalczyk & Dominik Jung & Mario Nadj & Michael T. Knierim & Raphael Rissler, 2019. "brownieR: The R-Package for Neuro Information Systems Research," Lecture Notes in Information Systems and Organization, in: Fred D. Davis & René Riedl & Jan vom Brocke & Pierre-Majorique Léger & Adriane B. Randolph (ed.), Information Systems and Neuroscience, pages 101-109, Springer.
    • Handle: RePEc:spr:lnichp:978-3-030-01087-4_12
    DOI: 10.1007/978-3-030-01087-4_12
    as

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