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All issues Volume 465 (2023) E3S Web of Conf., 465 (2023) 02002 References
Open Access
Issue
E3S Web of Conf.
Volume 465, 2023
8th International Conference on Industrial, Mechanical, Electrical and Chemical Engineering (ICIMECE 2023)
Article Number 02002
Number of page(s) 8
Section Symposium on Electrical, Information Technology, and Industrial Engineering
DOI https://doi.org/10.1051/e3sconf/202346502002
Published online 18 December 2023
  1. Dinda Yuvi, A., & Sri Wahyuning, C., “Strategi Peningkatan Performansi Kognitif Melalui Musik Pengiring Kerja,” Prosiding Diseminasi FTI, 2021. [Google Scholar]
  2. Basri, H., “Kemampuan Kognitif Dalam Meningkatkan Efektivitas Pembelajaran Ilmu Sosial Bagi Siswa Sekolah Dasa,” Jurnal Penelitian Pendidikan, vol. 18(1), pp. 1–9, 2018. [CrossRef] [Google Scholar]
  3. Choi, Y., Kim, M., & Chun, C., “Effect of temperature on attention ability based on electroencephalogram measurements,” Building and Environment, vol. 147, pp. 299–304, 2019. [CrossRef] [Google Scholar]
  4. Li, Y., Li, S., Gao, W., Xu, W., Xu, Y., & Wang, J., “Exploring the effects of indoor temperature on college students’ physiological responses, cognitive performance and a concentration index derived from EEG signals,” Developments in the Built Environment, vol. 12, 2022. [Google Scholar]
  5. Cintia, E., & Gilang, A, “Pengaruh Lingkungan Kerja Fisik Dan Non Fisik Terhadap Kinerja Karyawan Pada Kppn Bandung I,” EProceeding of Management, pp. 709–714, 2016. [Google Scholar]
  6. Liebl, A., Haller, J., Jödicke, B., Baumgartner, H., Schlittmeier, S., & Hellbrück, J., “Combined effects of acoustic and visual distraction on cognitive performance and well-being,” Applied Ergonomics, vol. 43(2), pp. 424–434, 2012. [CrossRef] [PubMed] [Google Scholar]
  7. Roda, C. and Thomas, J., “Attention aware systems: Theories, applications, and research agenda,” Computers in Human Behavior, vol. 22(4), pp.557-587, 2008. [Google Scholar]
  8. Wang, X., Li, D., Menassa, C. C., & Kamat, V. R., “Investigating the effect of indoor thermal environment on occupants’ mental workload and task performance using electroencephalogram,” Building and Environment, vol. 158, pp. 120–132, 2019. [CrossRef] [Google Scholar]
  9. Zhang, F., Haddad, S., Nakisa, B., Rastgoo, M. N., Candido, C., Tjondronegoro, D., & de Dear, R., “The effects of higher temperature setpoints during summer on office workers’ cognitive load and thermal comfort,” Building and Environment, vol. 123, pp. 176–188, 2017. [CrossRef] [Google Scholar]
  10. Zhu, M., Liu, W., & Wargocki, P., “Changes in EEG signals during the cognitive activity at varying air temperature and relative humidity,” Journal of Exposure Science and Environmental Epidemiology, vol. 30(2), pp. 285–298, 2020. [Google Scholar]
  11. Upadhayay, N., & Guragain, S, “Comparison of cognitive functions between male and female medical students: a pilot study,” Journal of Clinical and Diagnostic Research: JCDR, vol. 8(6), 2014. [Google Scholar]
  12. Afsaneh, Z., Alireza Shahid Beheshti, Z., Beheshti, S., Mohammad Reza, Z., & Mehdi, M., “Assessment of Selective Attention With CSCWT (Computerized Stroop Color-Word Test) Among Children and Adults,” Education Review A, vol. 1, pp. 121–127, 2012. [Google Scholar]
  13. Abbasi, A. M., Motamedzade, M., Aliabadi, M., Golmohammadi, R., & Tapak, L., “Combined effects of noise and air temperature on human neurophysiological responses in a simulated indoor environment,” Applied Ergonomics, vol. 88, 2020. [Google Scholar]
  14. Kim, H., Hong, T., Kim, J., & Yeom, S., “A psychophysiological effect of indoor thermal condition on college students’ learning performance through EEG measurement,” Building and Environment, vol. 184, 107223, 2020. [CrossRef] [Google Scholar]
  15. Wiguna, N. K. J., & Adiatmika, I. P. G, “Pengaruh Lingkungan Tidak Nyaman Terhadap Fungsi Kognitif Mahasiswa Fakultas Kedokteran Universitas Udayana,” E-Jurnal Medika, vol. 8, 2019. [Google Scholar]
  16. Krawczyk, D. C., “Contributions of the prefrontal cortex to the neural basis of human decision making,” Neuroscience & Biobehavioral Reviews, vol. 26(6), pp. 631–664, 2002. [CrossRef] [Google Scholar]
  17. Amiez, C., & Petrides, M., “Neuroimaging evidence of the anatomofunctional organization of the human cingulate motor areas,” Cerebral Cortex, vol. 24(3), pp. 563–578, 2014. [CrossRef] [PubMed] [Google Scholar]
  18. Pasiak, T., “Pendidikan Karakter Sebagai Pendidikan Otak,” Jurnal AKRAB, vol. 1(3), pp. 7–15, 2010. [Google Scholar]
  19. Price, C. J., “The anatomy of language: A review of 100 fMRI studies published in 2009,” Annals of the New York Academy of Sciences, vol. 1191, pp. 62–88, 2010 [CrossRef] [PubMed] [Google Scholar]
  20. Decety, J., & Lamm, C., “The role of the right temporoparietal junction in social interaction: How low-level computational processes contribute to meta-cognition,” Neuroscientist, vol. 13(6), pp. 580– 593, 2007. [CrossRef] [PubMed] [Google Scholar]
  21. Hirooka, Y., Kamida, A., Shimabayashi, K., Oguri, M., Takamori, T., Ueda, N., Koyanagi, Y., Sannomiya, N., Nagira, H., Ikunishi, S., Hattori, Y., Sato, K., Fukuda, C., & Maegaki, Y., “EEG Power Spectrum Analysis in Children with ADHD,” Yonago Acta Medica, vol. 59, pp. 169– 173. 2016. [PubMed] [Google Scholar]
  22. Kappenman, E. S., & Luck, S. J., “ERP Components: The Ups and Downs of Brainwave Recordings,” In The Oxford Handbook of Event-Related Potential Components, vol. 3, Oxford University Press, 2012. [Google Scholar]
  23. Bradley, M. M., & Keil, A., “Event-Related Potentials (ERPs),” In University of Florida: Elsevier Inc, 2012. [Google Scholar]
  24. Shinagawa, K., Ito, Y., Tsuji, K., Tanaka, Y., Odaka, M., Shibata, M., Terasawa, Y., & Umeda, S., “Temporal changes in attentional resources consumed by mind-wandering that precede awareness: An ERP study,” 2021. [Google Scholar]
  25. Treleaven-Hassard, S., Gold, J., Bellman, S., Schweda, A., Ciorciari, J., Critchley, C., & Varan, D., “Using the P3a to gauge automatic attention to interactive television advertising,” Journal of Economic Psychology, vol. 31(5), pp. 777–784, 2010. [CrossRef] [Google Scholar]
  26. Steiner, G. Z., Barry, R. J., & Gonsalvez, C. J., “Nontarget-to nontarget interval determines the nontarget P300 in an auditory equiprobable Go/NoGo task,” International Journal of Psychophysiology, vol. 92(3), pp. 113–121, 2014. [CrossRef] [PubMed] [Google Scholar]
  27. Bush, G., Luu, P., Posner, M. I., & Posner, M., “Cognitive and emotional influences in anterior cingulate cortex”. Trends in Cognitive Sciences, vol. 4(6), pp. 215–222, 2000. [CrossRef] [PubMed] [Google Scholar]
  28. Kolling, N., Wittmann, M. K., Behrens, T. E. J., Boorman, E. D., Mars, R. B., & Rushworth, M. F. S., “Anterior cingulate cortex and the value of the environment, search, persistence, and model updating,” Nature Neuroscience, vol. 19(10), pp. 1280–1285, 2016. [CrossRef] [PubMed] [Google Scholar]
  29. Leech, R., & Sharp, D. J., “The role of the posterior cingulate cortex in cognition and disease”. Brain, vol. 137(1), pp. 12–32, 2014. [CrossRef] [PubMed] [Google Scholar]
  30. Mansi, S. A., Pigliautile, I., Porcaro, C., Pisello, A. L., & Arnesano, M., “Application of wearable EEG sensors for indoor thermal comfort measurements,” Acta IMEKO, vol. 10(4), pp. 214-220, 2021. [CrossRef] [Google Scholar]

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