Human lab experiments have become an established method in information systems research for investigating user behavior, perception and even neurophysiology. The purpose of this paper is to facilitate experimental research by providing a practical guide on how to implement and conduct lab experiments in the freely available experimental platform Brownie.
Laying the groundwork of the tutorial, the paper first provides a brief overview of common design considerations for lab experiments and a generic session framework. Building on the use case of the widely used trust game, the paper then covers the different stages involved in running an experimental session and maps the conceptual elements of the study design to the implementation of the experimental software.
The paper generates findings on how computerized lab experiments can be designed and implemented. Furthermore, it maps out the design considerations an experimenter may take into account when implementing an experiment and organizing it along a session structure (e.g. participant instructions, individual and group interaction, state and trait questionnaires).
The paper reduces barriers for researchers to engage in experiment implementation and replication by providing a step-by-step tutorial for the design and implementation of human lab experiments.
The authors thank Ewa Lux, An Thuy Tien Luong and Raphael Rissler for their valuable feedback on an earlier version of this paper.
Jung, D., Adam, M., Dorner, V. and Hariharan, A. (2017), "A practical guide for human lab experiments in information systems research: A tutorial with Brownie", Journal of Systems and Information Technology, Vol. 19 No. 3/4, pp. 228-256. https://doi.org/10.1108/JSIT-06-2017-0049
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