brownieR: The R-Package for Neuro Information Systems Research

Sven Michalczyk, Dominik Jung (), Mario Nadj (), Michael T. Knierim () and Raphael Rissler ()
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Sven Michalczyk: Karlsruhe Institute of Technology (KIT)
Dominik Jung: Karlsruhe Institute of Technology (KIT)
Mario Nadj: Karlsruhe Institute of Technology (KIT)
Michael T. Knierim: Karlsruhe Institute of Technology (KIT)
Raphael Rissler: Karlsruhe Institute of Technology (KIT)

A chapter in Information Systems and Neuroscience, 2019, pp 101-109 from Springer

Abstract: 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.

Keywords: NeuroIS; Bio-physiology; Behavior analytics; Web analytics (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-030-01087-4_12

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DOI: 10.1007/978-3-030-01087-4_12

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