Corrigendum: Assessing the Driver's Current Level of Working Memory Load With High Density Functional Near-infrared Spectroscopy: A Realistic Driving Simulator Study
- 1Department of Psychology, University of Oldenburg, Oldenburg, Germany
- 2Institute of Transportation Systems, German Aerospace Center, Braunschweig, Germany
by Unni, A., Ihme, K., Jipp, M., and Rieger, J. W. (2017). Front. Hum. Neurosci. 11:167. doi: 10.3389/fnhum.2017.00167
In the original article, there was an error. The analysis on participants' deviation from the lane center was incorrect. In the methods, we stated that “phases before and after lane change were omitted for determining the deviation from the lane center.” However, these phases were mistakenly included in the analysis and reported in the original paper.
A correction has been made to the Data Analysis, Behavioral and Peripheral Physiological Parameters, paragraph two:
“The driving behavior parameters included the proportion of time the participants drove in the correct speed range, the reaction time for the speed adjustments, brake, throttle and steering variance and the average deviation from the lane center (phases before and after lane change were omitted for determining the deviation from the lane center [34% of the data samples]). The proportion of time in the correct speed range was the time during which participants drove at the target speed (±5 km/h tolerance) in relation to the total time for that trial (excluding the transition time of 3 s after the speed sign). The reaction time was calculated as the time that participants needed to reach the target speed (±5 km/h tolerance). It was measured from the moment when they passed the speed sign, with the constraint that they continue to drive at the target speed during the course of the trial. Reaction time was only calculated on correct trials.”
A correction has also been made to the Results, Behavioral and Peripheral Physiological Results, paragraph two:
“Considering driving behavior, we find significant effects of the n-back condition on the time participants drove at the correct speed (χ2 = 12.02, p < 0.001, approximated r = −0.75, decrease per n-back level [slope]: 6.6%, SE = 1.5%), the reaction time (χ2 = 4.25, p < 0.05, r = 0.47, increase per n-back level: 0.23 s, SE = 0.10) and the brake variance (χ2 = 7.44, p < 0.01, r = 0.58, increase per n-back level: 0.08, SE = 0.04). The time during which the participants drove at the correct time decreased, while the time they needed to reach the correct speed and the variability of the brake pedal position increased with increasing working memory load. The n-back condition had no significant effect on throttle variance (χ2 = 2.90, p = 0.09, r = −0.21, decrease per n-back level: 0.01, SE = 0.01), steering variance (χ2 = 2.01, p = 0.16, r = −0.29, decrease per n-back level: 0.8*10−5 radians, SE = 0.5*10−5 radians) and lateral deviation (χ2 = 0.03, p = 0.87, r = −0.04, decrease per n-back level: 0.0005 m, SE = 0.003 m). These results indicate that working memory load can have an effect on safety relevant driving behaviors.”
Table 1. Descriptive statistics (mean values and standard deviation) of the task-related, driving behavior, and physiological parameters in the five n-back conditions.
The authors apologize for these errors and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Keywords: working memory load, realistic driving scenario, n-back, fNIRS, multivariate prediction
Citation: Unni A, Ihme K, Jipp M and Rieger J (2018) Corrigendum: Assessing the Driver's Current Level of Working Memory Load With High Density Functional Near-infrared Spectroscopy: A Realistic Driving Simulator Study. Front. Hum. Neurosci. 12:498. doi: 10.3389/fnhum.2018.00498
Received: 11 November 2018; Accepted: 26 November 2018;
Published: 18 December 2018.
Edited by:Klaus Gramann, Technische Universität Berlin, Germany
Reviewed by:Hasan Ayaz, Drexel University, United States
Copyright © 2018 Unni, Ihme, Jipp and Rieger. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Jochem Rieger, firstname.lastname@example.org