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International Journal of Automotive Technology > Volume 20(3); 2019 > Article
International Journal of Automotive Technology 2019;20(3): 455-463.
doi: https://doi.org/10.1007/s12239-019-0043-6
MODELLING THE INTRUSIVE FEELINGS OF ADVANCED DRIVER ASSISTANCE SYSTEMS BASED ON VEHICLE ACTIVITY LOG DATA: CASE STUDY FOR THE LANE KEEPING ASSISTANCE SYSTEM
Kyudong Park1, Jiyoung Kwahk1, Sung H. Han1, Minseok Song1, Dong Gu Choi1, Hyeji Jang1, Dohyeon Kim1, Young Deok Won2, In Sub Jeong2
1Pohang University of Science and Technology
2Hyundai Motor Company
PDF Links Corresponding Author.  Jiyoung Kwahk , Email. kjy@postech.ac.kr
ABSTRACT
Although the automotive industry has been among the sectors that best-understands the importance of drivers’ affect, the focus of design and research in the automotive field has long emphasized the visceral aspects of exterior and interior design. With the adoption of Advanced Driver Assistance Systems (ADAS), endowing ‘semi-autonomy’ to the vehicles, however, the scope of affective design should be expanded to include the behavioural aspects of the vehicle. In such a ‘sharedcontrol’ system wherein the vehicle can intervene in the human driver’s operations, a certain degree of ‘intrusive feelings’ are unavoidable. For example, when the Lane Keeping Assistance System (LKAS), one of the most popular examples of ADAS, operates the steering wheel in a dangerous situation, the driver may feel interrupted or surprised because of the abrupt torque generated by LKAS. This kind of unpleasant experience can lead to prolonged negative feelings such as irritation, anxiety, and distrust of the system. Therefore, there are increasing needs of investigating the driver’s affective responses towards the vehicle’s dynamic behaviour. In this study, four types of intrusive feelings caused by LKAS were identified to be proposed as a quantitative performance indicator in designing the affectively satisfactory behaviour of LKAS. A metric as well as a statistical data analysis method to quantitatively measure the intrusive feelings through the vehicle sensor log data.
Key Words: ADAS, LKAS, Vehicle activity log data, Intrusive feeling, Affective design
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