Abstract
Neuro-information system researchers called for the development of tools and methods of analysis that allows for the assessment of social interactions that considers the full range of dynamics and complexities. Recent work and progress in hyperscanning—the simultaneous recording of multiple subjects—offers the possibility to develop such methods and new research paradigms to respond to that need. Among these methods, Wavelet Transform Coherence (WTC) analysis is gaining in popularity and accessibility. However, hyperscanning methods—including WTC—remain a challenging experimental paradigm and analysis method, requiring careful preparation of data and consideration of the constraints of each neuroimaging technique. This manuscript aims to introduce the Wavelet Transform Coherence method of analysis as an innovative approach to Neuro-Information Systems research. We present practical examples and results in order to highlight the potential and complexity of this approach.
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Léné, P. et al. (2020). Wavelet Transform Coherence: An Innovative Method to Investigate Social Interaction in NeuroIS. In: Davis, F., Riedl, R., vom Brocke, J., Léger, PM., Randolph, A., Fischer, T. (eds) Information Systems and Neuroscience. Lecture Notes in Information Systems and Organisation, vol 32. Springer, Cham. https://doi.org/10.1007/978-3-030-28144-1_16
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DOI: https://doi.org/10.1007/978-3-030-28144-1_16
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