Acute mental fatigue can negatively affect cognitive performance This study investigates how different auditory interventions can influence the degree of mental fatigue during a cognitively demanding task, in this case, a 16-minute T-LoadDback test designed to induce mental fatigue. 27 healthy individuals were recruited and randomly assigned to one of three groups. One group listened to self-selected music, as it is well documented that listening to preferred music can increase dopamine levels, potentially mitigating mental fatigue. Another group listened to a 40 Hz binaural beat, known to improve concentration and increase energy. The third group served as a control group and conducted the task in silence. Subjective measurements of mental fatigue were obtained before and after the T-LoadDback test using a Visual Analog Scale for Fatigue(VAS-F), while objective data on mental fatigue were collected through the results of a 5-minute Corsi Block-tapping test and heart rate variability(HRV), both measured before and after the main task. The results indicated no significant pre-post differences for the VAS-F scores, Corsi test performance, or HRV, suggesting that mental fatigue was not successfully induced in the current experiment.The VAS-F scores showed no significant main effects or group differences, despite notable individual variations. Although both the music and 40 Hz groups outperformed the control group in the Corsi test, no differences were observed between the intervention groups themselves. Similarly, HRV data showed no significant changes, indicating minimal effects on autonomic nervous system activity. These results suggest that while individual preferences in auditory stimuli, such as ambient music, might influence fatigue levels, the overall effectiveness of such interventions remains inconclusive.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:umu-227238 |
| Date | January 2024 |
| Creators | Linderoth, Marcus, Ericsson, Mikael |
| Publisher | Umeå universitet, Institutionen för psykologi |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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