TY - GEN
T1 - Stress Evaluation Using EEG for Novel Air Mobilities
AU - Hara, Susumu
AU - Takahara, Kotaro
AU - Mitsukura, Yasue
N1 - Funding Information:
This study was supported in part by the Foundation for the Fusion of Science and Technology (FOST).
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Recently, flying car (urban air mobility) technologies have been actively studied. However, the social acceptability of such vehicles is yet to be fully investigated. This study discusses the social acceptability of novel air mobilities. This may be evaluated in real time by electroencephalography (EEG) measurements using the Kansei analyzer. Some authors experimentally evaluated the applicability of the Kansei analyzer for various sounds such as stationary rotor sound and nonstationary metallic sound in the previous study. Different from those experiments, experiments were conducted here based on the industrial drone sound with four levels of volume. Subsequently, we investigated the difference between the stress levels using the Kansei analyzer. As indicated by the result, once a loud noise is heard, it is difficult to lower the stress even if the volume is subsequently lowered.
AB - Recently, flying car (urban air mobility) technologies have been actively studied. However, the social acceptability of such vehicles is yet to be fully investigated. This study discusses the social acceptability of novel air mobilities. This may be evaluated in real time by electroencephalography (EEG) measurements using the Kansei analyzer. Some authors experimentally evaluated the applicability of the Kansei analyzer for various sounds such as stationary rotor sound and nonstationary metallic sound in the previous study. Different from those experiments, experiments were conducted here based on the industrial drone sound with four levels of volume. Subsequently, we investigated the difference between the stress levels using the Kansei analyzer. As indicated by the result, once a loud noise is heard, it is difficult to lower the stress even if the volume is subsequently lowered.
KW - EEG measurement
KW - Kansei analyzer
KW - Noise
KW - Social acceptability
KW - Stress
KW - Urban air mobility
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U2 - 10.1109/GCCE56475.2022.10014158
DO - 10.1109/GCCE56475.2022.10014158
M3 - Conference contribution
AN - SCOPUS:85147256670
T3 - GCCE 2022 - 2022 IEEE 11th Global Conference on Consumer Electronics
SP - 72
EP - 73
BT - GCCE 2022 - 2022 IEEE 11th Global Conference on Consumer Electronics
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th IEEE Global Conference on Consumer Electronics, GCCE 2022
Y2 - 18 October 2022 through 21 October 2022
ER -