Brownie: A Platform for Conducting NeuroIS Experiments
Posted: 12 Aug 2015
Date Written: August 3, 2015
In the field of Neuro Information Systems (NeuroIS) experimental platforms need to simultaneously present the experimental stimuli to participants while recording, analyzing or displaying neurophysiological measures. For example, a user’s heart beat (neurophysiological measure) might be recorded during an online-auction (stimulus) or a user may be shown live-biofeedback (display of neurophysiological data) during an exciting game (stimulus). In this paper, we identify both the specific requirements for a NeuroIS experimental platform and requirements that any experimental IS platform must fulfill. Following the design-science methodology, we identify issues of NeuroIS experiments, define requirements for a NeuroIS experimental platform, present architecture and functionalities, and finally evaluate the platform by means of six implemented use cases. The salient features of the platform that we call Brownie (Behavioral Research of groups using Web and NeuroIS Experiments) can be summarized as follows: (i) It integrates neurophysiological measurements, (ii) displays live-biofeedback based on these neurophysiological measurements, (iii) facilitates research on individual and group behavior in the lab, (iv) offers a large variety of options for presenting experimental stimuli and, (v) it is open-source and easily extensible with existing open-source libraries. In summary, we help researchers who are in need of a comfortable platform for conducting NeuroIS or other kinds of interactive experiments, for example in the fields of management, economics, or human-computer interaction.
Keywords: NeuroIS; Experimental Platform; Behavioral Research; Live-Biofeedback
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