Abstract
This study investigates the impact of background music tempo on human work performance, specifically focusing on a finger dexterity task. Recognizing the acoustic environment’s role in work efficiency, the study addresses sound distractions that can affect attention, stress levels, and overall performance. Despite interventions like soundproofing and background music, research has not reached a consistent conclusion on the effects of background music on human work performance. An experiment is designed to let participants complete a specified hand operation task under both fast and slow background music conditions. Results revealed a significant difference in task completion times, with participants demonstrating greater efficiency under slow-tempo music. This suggests that fast-paced background music may impede work efficiency in tasks requiring fine hand motor skills. The finding aligns with human factors theory, indicating that slow music better aligns with optimal arousal levels, minimizing sensory overload and stress, and enhancing focused task performance. The study contributes valuable insights into the nuanced relationship between background music tempo and human work performance, particularly in tasks involving precision and attention to detail.
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References
Roelofsen, P.: The impact of office environments on employee performance: the design of the workplace as a strategy for productivity enhancement. J. Facil. Manag. 1(3), 247–264 (2002)
Kaarlela-Tuomaala, A., Helenius, R., Keskinen, E., et al.: Effects of acoustic environment on work in private office rooms and open-plan offices – longitudinal study during relocation. Ergonomics 52(11), 1423–1444 (2009)
Dalton, B.H., Behm, D.G.: Effects of noise and music on human and task performance: a systematic review. Occup. Ergon. 7(3), 143–152 (2008)
El Boghdady, M., Ewalds-Kvist, B.M.: The influence of music on the surgical task performance: a systematic review. Int. J. Surg. 73, 101–112 (2020)
English, T., Mavros, Y., Jay, O.: Listening to motivational music mitigates heat-related reductions in exercise performance. Physiol. Behav. 208, 112567 (2019)
Furnham, A., Bradley, A.: Music while you work: the differential distraction of background music on the cognitive test performance of introverts and extraverts (1997)
Baddeley, A.: Working memory: the interface between memory and cognition. J. Cogn. Neurosci. 4(3), 281–288 (1992)
Rylander, R.: Physiological aspects of noise-induced stress and annoyance. J. Sound Vib. 277(3), 471–478 (2004)
Reinten, J., Braat-Eggen, P.E., Hornikx, M., et al.: The indoor sound environment and human task performance: a literature review on the role of room acoustics. Build. Environ. 123, 315–332 (2017)
Xiao, X., Tan, J., Liu, X., et al.: The dual effect of background music on creativity: perspectives of music preference and cognitive interference. Front. Psychol. 14, 1247133 (2023)
Gonzalez, M.F., Aiello, J.R.: More than meets the ear: investigating how music affects cognitive task performance. J. Exp. Psychol. Appl. 25(3), 431–444 (2019)
Arboleda, A., Arroyo, C., Rodriguez, B., et al.: A stressful task is when to turn off the music: effect of music on task performance mediated by cognitive effort. Psychol. Music 50(1), 298–311 (2022)
Cheah, Y., Wong, H.K., Spitzer, M., et al.: Background music and cognitive task performance: a systematic review of task, music, and population impact. Music. Sci. 5, 205920432211343 (2022)
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Yao, Y., Zhou, X. (2024). Ergonomic Analysis on the Effect of Background Music on Working Ability. In: Harris, D., Li, WC. (eds) Engineering Psychology and Cognitive Ergonomics. HCII 2024. Lecture Notes in Computer Science(), vol 14693. Springer, Cham. https://doi.org/10.1007/978-3-031-60731-8_10
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DOI: https://doi.org/10.1007/978-3-031-60731-8_10
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