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Real-Time Kansei Analysis During Communication Using a Simplified EEG

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Emotional Engineering, Vol. 6

Abstract

Many recent communication studies show meaningful results using biometric information measurements, such as body movement with accelerometers. However, most of them could not describe the reasons subjects showed body movement due to the lack of measurement abilities in real time. This background has made researchers expect real-time measurement methods of brain functions with superior time resolution. In this research, we succeeded in confirming a new method of communication analysis by using the Kansei Analyzer, a simplified electroencephalograph (EEG), which measures brain waves in real time to obtain internal information from a human being. The results of our two experiments show that it was possible to find quantitative changes when using this instrument. It is especially noteworthy that the concentration of one subject and the interest of another were synchronized, thanks to the superior time resolution. Brain wave measurements with an EEG have illustrated the quality of communication and the human relationship as constituent elements of communication in real time.

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References

  1. Ota Y, Sato N, Yano K (2016) High-precision visualization of in-store flow line using wearable sensor and beacon device. IEICE Tech Rep 115(486):35–38

    Google Scholar 

  2. Sato N, Yano K (2014) Quantitative evaluation of productivity improvement by supervisor patrolling using “Business Microscope”. IEICE Tech Rep 114(344):53–58

    Google Scholar 

  3. Watanabe J, Fujita M, Yano K, Kanesaka H, Hasegawa T (2013) Quantitative evaluation of effects of workplace liveliness on performance in call centers. J Inf Process 54(4):1470–1478

    Google Scholar 

  4. Ogino M, Mitsukura Y (2013) Development of EEG analysis system using smartphone. IEEJ J 8(22):13–16

    Google Scholar 

  5. Mitsukura Y (2016) KANSEI analyzing by EEG. IEEJ J 136(10):687–690

    Article  Google Scholar 

  6. Levy P (2013) Beyond Kansei engineering: the emancipation of Kansei design. Int J Des 7(2):83–94

    Google Scholar 

  7. Harada A (2002) Towards establishment of Kansei science. Spec Issue Japan Soc Sci Des 10(2):39–46

    Google Scholar 

  8. Jia L, Hirt E, Karpen S (2009) Lessons from a Faraway land: The effect of spatial distance on creative cognition. J Exp Soc Psychol 45(5):1127–1131

    Article  Google Scholar 

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Correspondence to Tsutomu Sato .

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Sato, T., Mitsukura, Y., Toma, T. (2018). Real-Time Kansei Analysis During Communication Using a Simplified EEG. In: Fukuda, S. (eds) Emotional Engineering, Vol. 6. Springer, Cham. https://doi.org/10.1007/978-3-319-70802-7_6

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  • DOI: https://doi.org/10.1007/978-3-319-70802-7_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70801-0

  • Online ISBN: 978-3-319-70802-7

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