TY - GEN
T1 - Music as countermeasure for driving fatigue using brain signal indicator
AU - Amirah, Andi Yulita
AU - Puspasari, Maya Arlini
N1 - Funding Information:
This research is supported by Hibah PITTA B 2019, funded by the Directorate of Research and Community Service (DRPM) Universitas Indonesia, No.NKB0752/UN2.R3.1/HKP.05.00/2019
Publisher Copyright:
© 2019 Association for Computing Machinery.
PY - 2019/9/27
Y1 - 2019/9/27
N2 - The current level of traffic accidents in Indonesia is still relatively high. One of the most significant factors in traffic accidents is fatigue. Fatigue can reduce the level of alertness and response while driving. Therefore, countermeasures are needed to reduce the perceived fatigue. Listening to music is regarded as one of the countermeasures to fatigue. This study aimed to determine the effect of music on driver fatigue. ANOVA method was used in this study to assess the significance of driving fatigue by listening to music (Pop genre). This study used the experimental design on 30 respondents with an age range of 20 - 44 years, using an Electroencephalogram (EEG) and Visual Analogue Scale (VAS). The results of this study indicate that music has a significant effect on driver fatigue with a percentage decrease in fatigue after listening to music reaching 12% in the 26 – 44 year age group and 22% in the 20-25 age group. The fatigue dropped significantly occurs at minute 5 when the respondent listens to the music.
AB - The current level of traffic accidents in Indonesia is still relatively high. One of the most significant factors in traffic accidents is fatigue. Fatigue can reduce the level of alertness and response while driving. Therefore, countermeasures are needed to reduce the perceived fatigue. Listening to music is regarded as one of the countermeasures to fatigue. This study aimed to determine the effect of music on driver fatigue. ANOVA method was used in this study to assess the significance of driving fatigue by listening to music (Pop genre). This study used the experimental design on 30 respondents with an age range of 20 - 44 years, using an Electroencephalogram (EEG) and Visual Analogue Scale (VAS). The results of this study indicate that music has a significant effect on driver fatigue with a percentage decrease in fatigue after listening to music reaching 12% in the 26 – 44 year age group and 22% in the 20-25 age group. The fatigue dropped significantly occurs at minute 5 when the respondent listens to the music.
KW - Driver Fatigue
KW - Driving Simulator
KW - Electroenchepalogram
KW - Music
KW - Visual Analogue Scale
UR - http://www.scopus.com/inward/record.url?scp=85076758370&partnerID=8YFLogxK
U2 - 10.1145/3364335.3364365
DO - 10.1145/3364335.3364365
M3 - Conference contribution
AN - SCOPUS:85076758370
T3 - ACM International Conference Proceeding Series
SP - 169
EP - 172
BT - 2019 the 5th International Conference on Industrial and Business Engineering, ICIBE 2019
PB - Association for Computing Machinery
T2 - 5th International Conference on Industrial and Business Engineering, ICIBE 2019
Y2 - 27 September 2019 through 29 September 2019
ER -
