Brownie: A Platform for Conducting NeuroIS Experiments

Hariharan, Anuja; Adam, Marc; Dorner, Verena; Mueller, Marius; Pfeiffer, Jella; Weinhardt, Christof

doi:10.17705/1jais.00457

Cited by 24 publications

(18 citation statements)

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“…The experiment is computerized with Brownie, a Java-based experimental software (Hariharan et al [2017]). All sessions with symmetric firms were run at the Karlsruhe Institute of Technology in Karlsruhe, Germany in October, 2014 (duopoly and triopoly sessions), April, 2015 (quadropoly sessions), and May to July, 2016 (additional quadropoly sessions).…”

Section: Iii(ii) Proceduresmentioning

confidence: 99%

Number Effects and Tacit Collusion in Experimental Oligopolies

Horstmann

Krämer

Schnurr

2018

The J Industrial Economics

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We systematically investigate the relationship between the number of firms in a market and tacit collusion by means of a meta-analysis of the literature on oligopoly experiments as well as two of our own experiments with a total of 368 participants. We show that the degree of tacit collusion decreases strictly with the number of competitors in industries with two, three and four firms. Although previous literature could not affirm that triopolies are more collusive than quadropolies, we provide evidence for this fact for symmetric and asymmetric firms under Bertrand and Cournot competition. † Authors' affiliations:

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Section: Iii(ii) Proceduresmentioning

confidence: 99%

Number Effects and Tacit Collusion in Experimental Oligopolies

Horstmann

Krämer

Schnurr

2018

The J Industrial Economics

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“…For example, 17 of the articles from the basket of eight mentioned an OS concept, but were not applying it to their DSR process, but instead using them as the focus of their research, i.e. Abbasi et al [32] [38], and Coenen et al [39], mention that the artefacts that they built were made available on open source platforms. In fact Hariharan et al [38] go further than just making their artefact available, but also make it so others can replicate the experiments that they implemented, which could also be considered as a form of open peer review.…”

Section: Search Strategymentioning

confidence: 99%

“…Abbasi et al [32] [38], and Coenen et al [39], mention that the artefacts that they built were made available on open source platforms. In fact Hariharan et al [38] go further than just making their artefact available, but also make it so others can replicate the experiments that they implemented, which could also be considered as a form of open peer review. The other five articles stated that they used some form of open source software in the building of their artefacts such as [40].…”

Section: Search Strategymentioning

confidence: 99%

We Need the Open Artefact: Design Science as a Pathway to Open Science in Information Systems Research

Doyle

Luczak‐Roesch

Mittal

2019

Lecture Notes in Computer Science

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Design science research (DSR) is facing some significant challenges such as how to make the knowledge and artefacts we create more accessible; exclusion from competitive funding schemes that require open practices; and a potential reproducibility crisis if scholars do not have access to everything needed to repeat past research. To help tackle these challenges we suggest that the community should strongly engage with open science, which has been growing in prominence in other fields in recent years. A review of current DSR literature suggests that researchers have not yet discussed how open science practices can be adopted within the field. Thus, we propose how the concepts of open science, namely open access, open data, open source, and open peer review, can be mapped to a DSR process model. Further, we identify an emerging concept, the open artefact, which provides an opportunity to make artefacts more accessible to practice and scholars. The aim of this paper is to stimulate a discussion amongst researchers about these open science practices in DSR, and whether it is a necessary step forward to keep the pace of the changing academic environment.

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“…R1: A software architecture for neurophysiological experiments needs the ability to support the simultaneous multi-modal measurement collection, including their synchronisation and their association with the experiment's task context. Considering the need for synchronising different neurophysiological measurements, several solutions have evolved (e.g.,Brownie, iMotions, Noldus Observer, CubeHX, and OpenVibe) [9,10,12,13,14]. These solutions ease the complexity and the time required to collect multi-modal data and associate it with the task context.…”

Section: Requirementsmentioning

confidence: 99%

“…In response to these trends, software solutions have evolved to support researchers during the execution of experiments including the collection and synchronisation of neurophysiological measurements as well as the (online) analysis of data. Software solutions like Brownie, iMotions, CubeHX, Noldus Observer, and OpenVibe support the design of experiments and the collection and synchronisation of neurophysiological measurements including their visualization [9,10,12,13,14]. Moreover, software solutions like EEGLAB and OpenVibe provide extensible and transparent ways to analyse data and partially support repeatable data analysis pipelines [5,14].…”

Section: Introductionmentioning

confidence: 99%

Towards a Software Architecture for Neurophysiological Experiments

Ioannou

Kindler

Bækgaard

et al. 2019

Information Systems and Neuroscience

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Despite their wide adoption for conducting experiments in numerous domains, neurophysiological measurements often are time consuming and challenging to interpret because of the inherent complexity of deriving measures from raw signal data and mapping measures to theoretical constructs. While significant efforts have been undertaken to support neurophysiological experiments, the existing software solutions are non-trivial to use because often these solutions are domain specific or their analysis processes are opaque to the researcher. This paper proposes an architecture for a software platform that supports experiments with multi-modal neurophysiological tools through extensible, transparent and repeatable data analysis and enables the comparison between data analysis processes to develop more robust measures. The identified requirements and the proposed architecture are intended to form a basis of a software platform capable of conducting experiments using neurophysiological tools applicable to various domains.

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Brownie: A Platform for Conducting NeuroIS Experiments

Cited by 24 publications

References 0 publications

Number Effects and Tacit Collusion in Experimental Oligopolies

Number Effects and Tacit Collusion in Experimental Oligopolies

We Need the Open Artefact: Design Science as a Pathway to Open Science in Information Systems Research

Towards a Software Architecture for Neurophysiological Experiments

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