1 |
A. Eriksson, S. M. Petermeijer, M. Zimmermann, J. C. De Winter, K. J. Bengler, and N. A. Stanton, "Rolling out the red (and green) carpet: supporting driver decision making in automation-to-manual transitions," IEEE Transactions on Human-Machine Systems, 49(1), pp. 20-31, 2018.
DOI
|
2 |
Sae Mobilus. Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles, 2018.
|
3 |
Tesla Motors, "Model S software version 7.0," 2016.
|
4 |
W. Morales-Alvarez, O. Sipele, R. Leberon, H. H. Tadjine, and C. Olaverri-Monreal, "Automated driving: A literature review of the take over request in conditional automation," Electronics, 9(12), pp. 2087, 2020.
DOI
|
5 |
S. Li, P. Blythe, W. Guo, and A. Namdeo, "Investigation of older driver's takeover performance in highly automated vehicles in adverse weather conditions," IET Intelligent Transport Systems, 12(9), pp. 1157-1165, 2018.
DOI
|
6 |
S. M. Petermeijer, S. Cieler, and J. C. De Winter, "Comparing spatially static and dynamic vibrotactile take-over requests in the driver seat," Accident analysis & prevention, 99, pp. 218-227, 2017.
DOI
|
7 |
M. Schwalk, N. Kalogerakis, and T. Maier, "Driver support by a vibrotactile seat matrix-Recognition, adequacy and workload of tactile patterns in take-over scenarios during automated driving," Procedia Manufacturing, 3, pp. 2466-2473, 2015.
DOI
|
8 |
S. S. Borojeni, L. Chuang, W. Heuten, and S. Boll, "Assisting drivers with ambient take-over requests in highly automated driving," In Proceedings of the 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, pp. 237-244, 2016.
|
9 |
C. Gold, D. Dambock, L. Lorenz, and K. Bengler, ""Take over!" How long does it take to get the driver back into the loop?," In Proceedings of the human factors and ergonomics society annual meeting, Vol. 57, No. 1, pp. 1938-1942, 2013.
DOI
|
10 |
S. Petermeijer, P. Bazilinskyy, K. Bengler, and J. De Winter, "Take-over again: Investigating multimodal and directional TORs to get the driver back into the loop," Applied ergonomics, 62, pp. 204-215, 2017.
DOI
|
11 |
S. Li, P. Blythe, W. Guo, and A. Namdeo, "Investigation of older driver's takeover performance in highly automated vehicles in adverse weather conditions," IET Intell. Transp. Syst., vol. 12, no. 9, pp. 1157-1165, 2018.
DOI
|
12 |
D. Badre, and A. D. Wagner, "Left ventrolateral prefrontal cortex and the cognitive control of memory," Neuropsychologia, 45(13), pp. 2883-2901, 2007.
DOI
|
13 |
E. K. Miller, and J. D. Cohen, "An integrative theory of prefrontal cortex function," Annual review of neuroscience, 24(1), pp. 167-202, 2001.
DOI
|
14 |
S. Samuel, A. Borowsky, S. Zilberstein, and D. L. Fisher, "Minimum time to situation awareness in scenarios involving transfer of control from an automated driving suite," Transportation research record, pp. 115-120, 2016
|
15 |
T. Nguyen, S. Ahn, H. Jang, S. C. Jun, and J. G. Kim, "Utilization of a combined EEG/NIRS system to predict driver drowsiness," Scientific reports, 7(1), pp. 1-10, 2017.
DOI
|
16 |
L. Steinberg, "A social neuroscience perspective on adolescent risk-taking," In Biosocial Theories of Crime, pp. 435-463, 2017.
|
17 |
R. V. D. Horst, "Time-to-collision as a cue for decision-making in braking," Vision in Vehicles-III, 1991.
|
18 |
L. Lorenz, P. Kerschbaum, and J. Schumann, "Designing take over scenarios for automated driving: How does augmented reality support the driver to get back into the loop?," In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Vol. 58, No. 1, pp. 1681-1685, 2014.
|
19 |
Y. Nakano, T. Kojima, H. Kawanaka, and K. Oguri. "Study of improving the cognitive ability of elderly drivers. In 16th International" IEEE Conference on Intelligent Transportation Systems pp. 547-551, 2013.
|
20 |
C. G. Coutlee, and S. A. Huettel, "The functional neuroanatomy of decision making: prefrontal control of thought and action," Brain research, 1428, pp. 3-12, 2012.
DOI
|
21 |
S. Balters, J. M. Baker, J. W. Geeseman, and A. L. Reiss, "A methodological review of fNIRS in driving research: Relevance to the future of autonomous vehicles," Frontiers in human neuroscience, 2021.
|
22 |
S. Jahani, A. L. Fantana, D. Harper, J. M. Ellison, D. A. Boas, B. P. Forester, and M. A. Yucel, "fNIRS can robustly measure brain activity during memory encoding and retrieval in healthy subjects," Scientific reports, 7(1), pp. 1-14, 2017.
DOI
|
23 |
A. Nissen, "Why we love blue hues on websites: a fNIRS investigation of color and its impact on the neural processing of ecommerce websites," In NeuroIS Retreat, pp. 1-15, 2020
|
24 |
S. G. Hart, "Nasa-task load index (NASA-TLX); 20 years later," Proc. Hum. Factors Ergon. Soc. Annu. Meet., vol. 50, no. 9, pp. 904-908, 2006.
|
25 |
T. Shimizu, S. Hirose, H. Obara, K. Yanagisawa, H. Tsunashima, Y. Marumo, ... and M. Taira, "Measurement of frontal cortex brain activity attributable to the driving workload and increased attention," SAE International Journal of Passenger Cars-Mechanical Systems, 2(1), pp. 736-744, 2009.
DOI
|
26 |
L. R. Derogatis, and R. Unger, "Symptom checklist-90-revised," The Corsini encyclopedia of psychology, pp. 1-2, 2010.
|
27 |
D. Shinar, "Actual versus estimated night-time pedestrian visibility," Ergonomics, vol. 27, no. 8, pp. 863-871, 1984.
DOI
|
28 |
H. J. Foy, P. Runham, and P. Chapman, "Prefrontal cortex activation and young driver behaviour: a fNIRS study," PLoS one, 11(5), pp. e0156512, 2016.
DOI
|
29 |
N. Eshel, E. E. Nelson, R. J. Blair, D. S. Pine, and M. Ernst, "Neural substrates of choice selection in adults and adolescents: development of the ventrolateral prefrontal and anterior cingulate cortices," Neuropsychologia, 45(6), pp. 1270-1279.9, 2007.
DOI
|
30 |
T. H. Cho, Y. Nah, S. H. Park, and S. Han, "Prefrontal cortical activation in Internet Gaming Disorder Scale high scorers during actual real-time internet gaming: A preliminary study using fNIRS," Journal of Behavioral Addictions, 2022.
|
31 |
S. Sibi, H. Ayaz, D. P. Kuhns, D. M. Sirkin, and W. Ju, "Monitoring driver cognitive load using functional near infrared spectroscopy in partially autonomous cars," In 2016 IEEE Intelligent Vehicles Symposium (IV), pp. 419-425, 2016.
|
32 |
Tesla Motors, "Autopilot," 2017.
|
33 |
L. Kalb, L. Streit, and K. Bengler, "Multimodal priming of drivers for a cooperative take-over," In 2018 21st International Conference on Intelligent Transportation Systems (ITSC) pp. 1029-1034, 2018
|
34 |
J. Heo, H. Lee, S. Yoon, and K. Kim, "Responses to Take-Over Request in Autonomous Vehicles: Effects of Environmental Conditions and Cues," IEEE Transaction on Intelligent Transportation System, 2022 (Accepted).
|
35 |
A. Unni, K. Ihme, H. Surm, L. Weber, A. Ludtke, D. Nicklas, ... and J. W. Rieger, "Brain activity measured with fNIRS for the prediction of cognitive workload," In 2015 6th IEEE International Conference on Cognitive Infocommunications, pp. 349-354, 2015.
|
36 |
J. Kim, D. Park, P. Lee, J. Cho, S.-H. Yoon and S. Park. "Development of Management and Evaluation System for Realistic Virtual Reality Field Training Exercise Contents : A Case Study," Korea Computer Graphics Society, pp. 111-121, 2020.
|