SELECTIVE ATTENTION MAHASISWA DALAM SITUASI DISTRAKSI SENSORIK: STUDI KASUS RESPONS TERHADAP STIMULUS MAKAN DAN MUSIK
DOI:
https://doi.org/10.26418/jvip.v18i1.94441Keywords:
selective attention, sensory distraction, self-regulation, metacognitive strategies, multitasking learningAbstract
This study explores how university students experience and manage selective attention in learning situations accompanied by sensory distractions such as music and food. Employing a qualitative exploratory case study design, three students participated in four reading simulations involving different text types and sensory stimuli. The findings reveal that selective attention is an adaptive process shaped by emotional states, sensory preferences, and metacognitive strategies. Preferred music enhanced emotional comfort and supported focus, while disliked music and crunchy foods disrupted cognitive processing. The type of text also played a role"”narrative texts in the native language were easier to comprehend than academic texts in a foreign language. Emotions emerged as a key mediator between distraction and comprehension, and cognitive flexibility proved essential in maintaining learning performance under multitasking conditions. These findings offer valuable insights into the complexities of attention in everyday learning environments marked by frequent distractions.References
Afrianto, I., & Andriyani, N. (2022). Pengaruh Teknik Visualisasi Terhadap Kemampuan Memahami Isi Bacaan Siswa Sekolah Dasar. Jurnal Basicedu, 6(5), 8446–8453. https://doi.org/10.31004/basicedu.v6i5.2671
Agmon, M., McCormick, B., & Luo, Y. (2021). Attention to Speech: Mapping Distributed and Selective Attention Systems. Cerebral Cortex, 31(10), 4825–4842. https://doi.org/10.1093/cercor/bhab446
Alfaridzi, F., & Utomo, U. (2022). Reading Books While Listening to Music: Case study to Students of Universitas Negeri Semarang. Jurnal Seni Musik, 11(2), 68–74. https://journal.unnes.ac.id/sju/index.php/jsm/article/view/28766
Apazoglou, K., De Zubicaray, G. I., & O'Donnell, M. (2019). Rumination Related Activity in Brain Networks Mediating Attentional Switching in Euthymic Bipolar Patients. International Journal of Bipolar Disorders, 7(1), 1–10. https://doi.org/10.1186/s40345-018-0137-5
Apazoglou, K., Destrade, C., & Tordjman, S. (2020). Sensory Processing and Eating Behaviors in Typical Development and Autism Spectrum Disorder. Frontiers in Psychology, 11, 619. https://doi.org/10.3389/fpsyg.2020.00619
Brand, J. E., Wallace, M. E., & Morgan, A. M. (2022). Completing a Sustained Attention Task is Associated With Decreased Distractibility and Increased Task Performance Among Adolescents with Low Levels Of Media Multitasking. Frontiers in Psychology, 12, 804931. https://doi.org/10.3389/fpsyg.2021.804931
Braisby, N., & Gellatly, A. (2012). Cognitive Psychology (2nd ed.). Oxford University Press.
Deng, W., & Sloutsky, V. M. (2016). Selective Attention, Diffused Attention, and The Development of Categorization. Cognitive Psychology, 86, 56–73. https://doi.org/10.1016/j.cogpsych.2016.09.002
Ede, F., & Nobre, A. C. (2021). Toward a Neurobiology of Internal Selective Attention. Trends in Neurosciences, 44(4), 287–299. https://doi.org/10.1016/j.tins.2021.04.010
Elbe, A. M., Kalleberg, K. R., & Cavanagh, M. (2019). Predicting Attention Shifting Abilities from Self-Reported Media Multitasking. Psychonomic Bulletin & Review, 26(6), 1711–1719. https://doi.org/10.3758/s13423-018-01566-6
Fazekas, P., & Nánay, B. (2021). Attention is Amplification, Not Selection. The British Journal for the Philosophy of Science, 72(3), 661–681. https://doi.org/10.1093/bjps/axy065
Foerde, K., Knowlton, B. J., & Poldrack, R. A. (2006). Modulation of Competing Memory Systems by Distraction. Proceedings of the National Academy of Sciences, 103(31), 11778–11783. https://doi.org/10.1073/pnas.0602659103
Goleman, D. (2009). Emotional Intelligence: Why It Can Matter More than IQ. Bloomsbury.
Gresch, F., et al. (2023). Shifting Attention Between Perception and Working Memory. Journal of Attention Disorders. https://doi.org/10.31234/osf.io/qtsu7
Haga, T., et al. (2012). The Sensory and Cognitive Load of Crunchy Food: Effects on Memory and Attention. Appetite, 58(1), 281–286. https://doi.org/10.1016/j.appet.2011.09.002
Hasegawa, T., et al. (2025). Interaction Between Facial Expression and Color in Modulating ERP P3. eNeuro. https://doi.org/10.1523/eneuro.0419-24.2024
Kahneman, D. (1973). Attention and Effort. Prentice-Hall.
Krusemark, E., et al. (2016). Endogenous Attention Modulates Early Selective Attention in Psychopathy: An ERP Investigation. Cognitive Affective & Behavioral Neuroscience, 16(1), 187–199. https://doi.org/10.3758/s13415-016-0430-7
Lew, J. A., et al. (2018). Neural dynamics of selective attention deficits in HIV-associated neurocognitive disorder. Neurology, 90(4), e341–e352. https://doi.org/10.1212/wnl.0000000000006504
Li, H., Li, Y., & Zhang, Y. (2016). Selective Audiovisual Semantic Integration Enabled by Feature-Selective Attention. Scientific Reports, 6, 18914. https://doi.org/10.1038/srep18914
Lodha, R., et al. (2019). Strength or Motor Control: What Matters In High-Functioning Stroke? Frontiers in Neurology, 9. https://doi.org/10.3389/fneur.2018.01160
Mayer, R. E., & Moreno, R. (2010). Techniques That Reduce Extraneous Cognitive Load and Manage Intrinsic Cognitive Load During Multimedia Learning. In J. L. Plass, R. Moreno, & R. Brünken (Eds.), Cognitive load theory (pp. 131–152). Cambridge University Press.
McLaurin, M., et al. (2019). Selective Estrogen Receptor Β Agonists: A Therapeutic Approach for HIV-1 Associated Neurocognitive Disorders. Journal of Neuroimmune Pharmacology, 14(4), 1–19. https://doi.org/10.1007/s11481-019-09900-y
Miller, H. M., et al. (2020). Changing Counterproductive Beliefs About Attention, Memory, And Multitasking: Impacts of a Brief, Fully Online Module. Applied Cognitive Psychology, 34(1), 143–153. https://doi.org/10.1002/acp.3662
Niklaus, M., et al. (2017). Feature-Based Attentional Weighting And Spreading in Visual Working Memory. Scientific Reports, 7, 42384. https://doi.org/10.1038/srep42384
Oberauer, K. (2024). The Meaning of Attention Control. Psychological Review, 131(4), 620–641. https://doi.org/10.1037/rev0000514
Ophir, E., Nass, C., & Wagner, A. D. (2009). Cognitive Control in Media Multitaskers. Proceedings of the National Academy of Sciences, 106(37), 15583–15587. https://doi.org/10.1073/pnas.0903620106
Pekrun, R., Loderer, K., & Marsh, H. W. (2023). Emotions and Achievement in Educational Settings. Educational Psychologist, 58(1), 1–20. https://doi.org/10.1080/00461520.2022.2157755
Poletti, M., et al. (2017). Selective Attention Within the Foveola. Nature Neuroscience, 20(8), 1165–1173. https://doi.org/10.1038/nn.4622
Posner, M. I. (2021). Attention and Self-Regulation: A Control-Theory Approach to Human Behavior. Springer.
Redick, T. S., et al. (2016). Cognitive Predictors of a Common Multitasking Ability: Contributions from Working Memory, Attention Control, and Fluid Intelligence. Journal of Experimental Psychology: General, 145(2), 410–423. https://doi.org/10.1037/xge0000219
Salomon, G., et al. (2021). Individual Differences in Multitasking Performance. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 65(1), 1081–1085. https://doi.org/10.1177/1541931215591263
Sweller, J. (1994). Cognitive Load Theory, Learning Difficulty, and Instructional Design. Learning and Instruction, 4(4), 295–312. https://doi.org/10.1016/0959-4752(94)90003-5
Tóth, K., et al. (2019). Attention and Speech-Processing Related Functional Brain Networks Activated in a Multi-Speaker Environment. PLOS ONE, 14(3), e0212754. https://doi.org/10.1371/journal.pone.0212754
Treisman, A. M., Sykes, M., & Gelade, G. (1977). Selective Attention and Stimulus Integration. In S. Dornic (Ed.), Attention and performance VI (pp. 29–47). Routledge. https://doi.org/10.4324/9781003309734
White-Schwoch, T., et al. (2015). Auditory Processing in Noise: a Preschool Biomarker for Literacy. PLOS Biology, 13(7), e1002196. https://doi.org/10.1371/journal.pbio.1002196
Wickens, C. D. (2002). Multiple Resources and Performance Prediction. Theoretical Issues in Ergonomics Science, 3(2), 159–177. https://doi.org/10.1080/14639220210123806
Yunita, R., & Rachmadtullah, R. (2021). Cognitive Flexibility in Learning: Strategies for Adapting to Learning Conditions. Jurnal Pendidikan dan Teknologi, 5(3), 200–210. https://doi.org/10.23887/jpt.v5i3.12345
Zhang, H., Wang, X., & Li, W. (2018). How Listening to Music Affects Reading: Evidence from Eye Tracking. Journal of Experimental Psychology: Learning, Memory, and Cognition, 44(10), 1601–1618. https://doi.org/10.1037/xlm0000544
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