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Exploring the Potential of NeuroIS in the Wild: Opportunities and Challenges of Home Environments

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Information Systems and Neuroscience (NeuroIS 2021)

Part of the book series: Lecture Notes in Information Systems and Organisation ((LNISO,volume 52))

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Abstract

At this stage, empirical studies in the NeuroIS field have been conducted primarily in laboratory environments. However, the continuing advances in sensor technologies and software interfaces have created novel opportunities to explore the potential of NeuroIS not only in highly controlled lab environments but also in the wild. In this exploratory study, we focus particularly on the potential of conducting NeuroIS studies in remote home environments (NeuroIS@Home) by physically sending equipment (e.g., sensors) to the participant’s location and/or utilizing existing equipment in the participants’ environment (e.g., cameras, input devices). To explore the potential of NeuroIS@Home, we conducted an online expert survey with 16 respondents. We identify higher external/ecological validity of experimental results and the potential of scalability as the most promising opportunities, whereas the lack of control over environmental factors and data quality turned out to be the most severe challenges.

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Notes

  1. 1.

    NeuroIS tools: Eye Tracking, Skin Conductance Response (SCR), Facial Electromyography (fEMG), Electrocardiogram (ECG), Functional Magnetic Resonance Imaging (fMRI), Positron Emission Tomography (PET), Electroencephalography (EEG), Magnetoencephalography (MEG).

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Correspondence to Anke Greif-Winzrieth .

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Appendix: Further Results

Appendix: Further Results

Table 3. Relations between tools and challenges/opportunities.

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Greif-Winzrieth, A., Peukert, C., Toreini, P., Adam, M.T.P. (2021). Exploring the Potential of NeuroIS in the Wild: Opportunities and Challenges of Home Environments. In: Davis, F.D., Riedl, R., vom Brocke, J., LĂ©ger, PM., Randolph, A.B., MĂĽller-Putz, G. (eds) Information Systems and Neuroscience. NeuroIS 2021. Lecture Notes in Information Systems and Organisation, vol 52. Springer, Cham. https://doi.org/10.1007/978-3-030-88900-5_5

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  • DOI: https://doi.org/10.1007/978-3-030-88900-5_5

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