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Investigating positiveness of music excerpts via EEG/ERP, Eye-tracker (E-T), and Galvanic Skin Response (GSR)

Tuna Çakar1*
  • 1 MEF University, Computer Engineering, Türkiye

This empirical study has aimed to understand the diverging neural patterns while listening to two versions of the same music excerpt. The difference between these two versions is related to their tempo. The change in tempo caused one to be perceived as dramatic (low tempo version) and the other as cheerful (high tempo version). There were 24 participants who took part in this experimental study who have provided oral and written consent prior to the study. The participants listened to these excerpts each for 40 seconds. Meanwhile, their EEG/ERP signals, GSR/PR signals, and eye-movements were recorded via highly portable systems. The obtained results indicate that there are different patterns of neural activation. This difference has mainly been observed by the positiveness measure known as frontal alpha asymmetry (FAA) in the relevant literature. To be more specific, the calculated positiveness values have been significantly higher for the high tempo version than the low tempo version. This finding has been supported by the subjective ratings that were collected just after the experiment. Overall, this empirical study can be accepted as a proof of concept for the direct use of neuroimaging methods regarding the objective measures related to music.

References

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reactions to advertising stimuli by means of EEG and galvanic skin response measures. Journal of
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3. Ohme, R., Reykowska, D., Wiener, D., & Choromanska, A. (2010). Application of frontal EEG
asymmetry to advertising research. Journal of Economic Psychology, 31(5), 785-793

Keywords: Music excerpts, tempo, EEG/ERP, Frontal Alpha Asymmetry (FAA), Positiveness

Conference: 2nd International Neuroergonomics Conference, Philadelphia, PA, United States, 27 Jun - 29 Jun, 2018.

Presentation Type: Oral Presentation

Topic: Neuroergonomics

Citation: Çakar T (2019). Investigating positiveness of music excerpts via EEG/ERP, Eye-tracker (E-T), and Galvanic Skin Response (GSR). Conference Abstract: 2nd International Neuroergonomics Conference. doi: 10.3389/conf.fnhum.2018.227.00035

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Received: 02 Apr 2018; Published Online: 27 Sep 2019.

* Correspondence: Dr. Tuna Çakar, MEF University, Computer Engineering, Istanbul, Türkiye, cakar.tuna@gmail.com