Advanced SearchSearch Tips
An Investigation into the Measured Values of Driver`s Subjective and Objective Sensibility Response Stimulated by Different Car Noises
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
An Investigation into the Measured Values of Driver`s Subjective and Objective Sensibility Response Stimulated by Different Car Noises
Kim, Tae Hyun; Cho, Jae Hoon; Cho, Won Hak; Lee, Moon Sub; Choi, Hyeon Ki;
  PDF(new window)
The purpose of this study is to understand human sensory and emotional response according to car noise. This study investigated human stress levels from car noise based on the data of electro-encephalogram (EEG) and subjective evaluation analysis data. Since there are few previous works on the effect of car noise on human`s reaction, more profound research about the effect of car noise on driver`s emotion would be worth performing. Subjects were exposed to five different kinds of car noises. EEG data were collected while the subject was exposed to noise. In order to process EEG data, FFT analysis was used to separate the collected EEG data into -wave and -wave. Also, survey was performed to carry out subjective evaluation. The results of the subjective evaluation were closely correlated to those found in the EEG signal analysis. The results from this study may provide useful information for mitigating car noise induced stress.
Car noise;Eletroencephalogram;Human sensibility;Semantic differential method;
 Cited by
자동차 외판 강성의 고객 감성 영향 분석 : 승용차의 후드 및 도어를 중심으로,류태범;김원준;진병기;윤명환;

대한산업공학회지, 2016. vol.42. 5, pp.360-369 crossref(new window)
Basar, E. (1990), Chaotic dynamics and resonance phenomena in brain function : Progress, perspectives and thoughts, In : E. Basar and T. H. Bullock(Eds.), Chaos in Brain Function, Springer, NewYork, USA, 1-31.

Buss, S., Chouard, N., and Schulte-Fortkamp, B. (2000), Semantic Differential tests show intercultural differences and similaritie sinperception of car-sounds, DAGA2000, Oldenburg, Deutschland.

Cho, W. H., Hwang, S. H., and Choi, H. K. (2011), An investigation of the influences of noise on EEG power bands and visual cognitive responses for human-oriented product design, Journal of Mechanical Science and Technology, 25, 821-826. crossref(new window)

Choe, J. H. (2013), How Can We Approach the Affective Quality? : A Study on the Affective Response and Structural Approach to the Affective Quality, Journal of the Korean Instiute of Industrial Engineers, 39(1), 73-77. crossref(new window)

Dencey, C. and Reidy, J. (2011), Statistics Without Maths for Psychology, Prentice Hall, 175.

Eck, M. V., Berkhof, H., Nicolson, N., and Sulon, J. (1996), The effects of perceived stress, traits, mood states, and stressful daily events on salivary cortisol, Psychosomatic Medicine, 58, 447-458. crossref(new window)

Fang, J. H., Zhou, Y. Q., Hu, X. D., and Wang, L. (2009), Measurement and Analysis of Exhaust Noise from Muffler on an Excavator, International Journal of Precision Engineering and Manufacturing, 10(5), 59-66.

Ising, H., Dienel, D., Gunther, T., and Markert, B. (1998), Traffic Noise and Health Effects, International Archives of Occupational and Environmental Health, 47(2), 179-190.

Jeong, J. H., Song, H. S., Jeon, J. Y., and Cho, M. J. (2002), Subjective Evaluation of Computer Noise for Improving the Acoustical Environment of Open-plan Offices, Korean Society for Emotion and Sensibility, 2002, 101-106.

Kim, D. N. and Cho, J. R. (1999), A Study on the Methodologies of the Quality Assessment of the Mobile Telecommunication Units Using Kansei Engineering, Journal of the Korean Society for Quality Management, 27, 154-169.

Lee, J. K. (1993), For the interior noise of a car, Korean Society for Noise and Vibration Engineering, 3, 11-21.

McEvoy, L. K., Pellouchoud, E., Smith, M. E., and Gevins, A. (2001), Neurophysiological signals of working memory in normal aging, Brain Research : Cognitive Brain Research, 11, 363-376. crossref(new window)

Moretti, D. V., Babiloni, C., Binetti, G., Cassetta, E., Dal Forno, G., Ferreric, F., Ferri, R., Lanuzza, B., Miniussi, C., Nobili, F., Rodriguez, G., Salinari, S., and Rossini, P. M. (2004), Individual analysis of EEG frequency and band power in mild Alzheimer's disease, Clinical Neurophysiology, 115, 299-308. crossref(new window)

Niedermeyer, E. and Silva, F. L. (2004), Electroencephalography : Basic Principles, Clinical Applications, and Related Fields, Lippincott Williams and Wilkins, Philadelphia, USA.

Osgood, C. E., Suci, C. J., and Tannenbaum, P. H. (1972), The Measurement of Meaning, University of Illinois Press, Urbana, 76-124.

Robert, M. (2007), Theory of the normal waking EEG : From single neurones to waveforms in the alpha, beta and gamma frequency ranges, International Journal of Psychophysiology, 64, 18-23. crossref(new window)

Sharbrough, F., Chatrian, G. E., Lesser, R. P., Luders, H., Nuwer, M., and Picton, T. W. (1991), American Electroencephalographic Society Guidelines for Standard Electrode Position Nomenclature, Journal of Clinical Neurophysiol, 8, 200-202. crossref(new window)

Smyth, J., Ockenfels, M. C., Porter, L., Kirschbaum, C., Hellhammer, D. H., and Stone, A. A. (1998), Stressors and mood measured on a momentary basis are associated with salivary cortisol secretion, International Society of Psychoneuroendocrinology, 23, 353-370. crossref(new window)

Uimonen, S., Maki-Torkko, E., and Sorri, M. (1998), Hearing and occupation, International Journal Circumpolar Health, 57, 156-161.

Vogel, F. (2000), Genetics and the Electroencephalogram, Springer Verlag, Berlin, Germany.

Wallenius, M. A. (2004), The interaction of noise stress and personal project stress on subjective health, Journal of Environmental Psychology, 24(2), 167-177. crossref(new window)

Williams, L. M., Simms, E., Clark, C. R., Paul, R. H., Rowe, D., and Gordon, E. (2005), The test-retest reliability of a standardized neurocognitive and neurophysiological test battery : 'neuromarker', International Journal of Neuroscience, 115, 1605-1630. crossref(new window)

Winterer, G., Kloppel, B., Heinz, A., Ziller, M., Dufeu, P., Schmidt, L. G., and Herrmann, W. M. (1998), Quantitative EEG (QEEG) predicts relapse in patients with chronic alcoholism and points to a frontally pronounced cerebral disturbance, Psychiatry Research, 78(1-2), 101-113. crossref(new window)