The effects of disruption in attention on driving performance patterns: Analysis of jerk-cost function and vehicle control data
- Authors
- Choi, Jin-Seung; Kim, Han-Soo; Kang, Dong-Won; Choi, Mi-Hyun; Kim, Hyung-Sik; Hong, Sang-Pyo; Yu, Na-Rae; Lim, Dae-Woon; Min, Byung-Chan; Tack, Gye-Rae; Chung, Soon-Cheol
- Issue Date
- Jul-2013
- Publisher
- ELSEVIER SCI LTD
- Keywords
- Attention disruption factors; Driving performance; Motion signal; Jerk-cost function
- Citation
- APPLIED ERGONOMICS, v.44, no.4, pp 538 - 543
- Pages
- 6
- Indexed
- SCI
SCIE
SSCI
SCOPUS
- Journal Title
- APPLIED ERGONOMICS
- Volume
- 44
- Number
- 4
- Start Page
- 538
- End Page
- 543
- URI
- https://scholarworks.dongguk.edu/handle/sw.dongguk/15396
- DOI
- 10.1016/j.apergo.2012.11.004
- ISSN
- 0003-6870
1872-9126
- Abstract
- This study analyzes the effects of attention disruption factors, such as sending text messages (STM) and performing searching navigation (SN) on driving performance patterns while actively driving, centering on motion signals. To this end, it analyzes not only data on control of the vehicle including the Anterior-Posterior Coefficient of Variation (APCV), Medial-Lateral Coefficient of Variation (MLCV), and Deviation of Vehicle Speed but also motion data such as the Jerk-Cost function (JC). A total of 55 drivers including 28 males (age: 24.1 +/- 1.5, driving experience: 1.8years +/- 1.7 years) and 27 females (age: 23.8 +/- 2.6, driving experience: 1.5 +/- 1.0) participated in this study. All subjects were instructed to drive at a constant speed (90 km/h) for 2 min while keeping a distance of 30 m from the front car also running at a speed of 90 km/h. They were requested to drive for the first 1 min and then drive only (Driving Only) or conduct tasks while driving for the subsequent 1 min (Driving' + STM or Driving + SN). The information on APCV, MLCV, and deviation of speed were delivered by a driving simulator. Furthermore, the motion signal was measured using 4 high-speed infrared cameras and based on the measurement results, JCs in a total of 6 parts including left shoulder (L.shoulder), left elbow (L.elbow), left hand (L.hand), right knee (R.knee), right ankle (R.ankle), and right toe (R.toe) were calculated. Differences among the results of 3 conditions of experiment, Driving Only, Driving + STM, and Driving + SN, were compared and analyzed in terms of APCV, MLCV, Deviation of Vehicle Speed, and JC. APCV and Deviation of Vehicle Speed increased in Driving + SN, rather than in Driving Only. MLCV increased in Driving + STM and Driving + SN, rather than in Driving Only. In the case of most JCs except that of L.hand, the values increased in Driving + SN, compared to Driving Only. This study indicated that JC could be a reliable parameter for the evaluation of driving performance patterns. In addition, it was discovered that additional tasks under driving, such as STM and SN, impaired smoothness or proficiency in driving motion, thereby increasing anteriorposterior and medic-lateral variability and deviation of speed. (C) 2012 Elsevier Ltd and The Ergonomics Society. All rights reserved.
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Collections - College of Engineering > Department of Information and Communication Engineering > 1. Journal Articles

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