TY - JOUR
T1 - Effects of Non-Speech Auditory Cues on Control Transition Behaviors in Semi-Automated Vehicles
T2 - Empirical Study, Modeling, and Validation
AU - Ko, Sangjin
AU - Kutchek, Kyle
AU - Zhang, Yiqi
AU - Jeon, Myounghoon
N1 - Funding Information:
This work was partially supported by a grant (code 17TLRP-B131486-01) from Transportation and Logistics R&D Program funded by Ministry of Land, Infrastructure and Transport of Korean government.
Publisher Copyright:
© 2021 Taylor & Francis Group, LLC.
PY - 2022
Y1 - 2022
N2 - In semi-automated vehicles, non-speech sounds have been prevalently used as auditory displays for control transitions since these sounds convey urgency well. However, there are no standards of specifications for warning sounds so that diverse non-speech sounds are being employed. To shed light on this, the effects of different non-speech auditory warnings on driver performance were investigated and quantified through the experimental study and human performance modeling approaches. Twenty-four young drivers drove in the driving simulator and experienced both handover and takeover transitions between manual and automated modes while performing a secondary task. The reaction times for handover and takeover, mental workload, and subjective responses were reported. Overall, a traditional warning sound with many repetitions and an indicator sound with decreasing polarity outperformed and were preferred. Additionally, a mathematical model, using the Queuing Network-Model Human Processor (QN-MHP) framework, was applied to quantify the effects of auditory warnings’ acoustic characteristics on drivers’ reaction times in response to takeover request displays. The acoustic characteristics, including the fundamental frequency, the number of repetitions, and the range of dominant frequencies were utilized in modeling. The model was able to explain 99.7% of the experimental data with a root mean square error (RMSE) of 0.148. The present study can contribute to establishing standards and design guidelines for takeover request displays in semi-automated vehicles.
AB - In semi-automated vehicles, non-speech sounds have been prevalently used as auditory displays for control transitions since these sounds convey urgency well. However, there are no standards of specifications for warning sounds so that diverse non-speech sounds are being employed. To shed light on this, the effects of different non-speech auditory warnings on driver performance were investigated and quantified through the experimental study and human performance modeling approaches. Twenty-four young drivers drove in the driving simulator and experienced both handover and takeover transitions between manual and automated modes while performing a secondary task. The reaction times for handover and takeover, mental workload, and subjective responses were reported. Overall, a traditional warning sound with many repetitions and an indicator sound with decreasing polarity outperformed and were preferred. Additionally, a mathematical model, using the Queuing Network-Model Human Processor (QN-MHP) framework, was applied to quantify the effects of auditory warnings’ acoustic characteristics on drivers’ reaction times in response to takeover request displays. The acoustic characteristics, including the fundamental frequency, the number of repetitions, and the range of dominant frequencies were utilized in modeling. The model was able to explain 99.7% of the experimental data with a root mean square error (RMSE) of 0.148. The present study can contribute to establishing standards and design guidelines for takeover request displays in semi-automated vehicles.
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U2 - 10.1080/10447318.2021.1937876
DO - 10.1080/10447318.2021.1937876
M3 - Article
AN - SCOPUS:85107976976
VL - 38
SP - 185
EP - 200
JO - International Journal of Human-Computer Interaction
JF - International Journal of Human-Computer Interaction
SN - 1044-7318
IS - 2
ER -