Is take-over time all that matters? the impact of visual-cognitive load on driver take-over quality after conditionally automated driving

Accident Analysis and Prevention

Volumn 92, Issue , 2016, Pages 230-239

  Zeeb, Kathrin ^a,b   Buchner, Axel ^b   Schrauf, Michael ^a,b  

^a DAIMLER AG   (Germany)

^b HEINRICH HEINE UNIVERSITY   (Germany)

Author keywords

Automated driving; Conditional automation; Driver distraction; Driver take over; Driving simulator

Indexed keywords

AUTOMATION; AUTOMOBILE DRIVERS; AUTOMOBILE SIMULATORS; CONTROL SYSTEM SYNTHESIS; RESPONSE TIME (COMPUTER SYSTEMS); VEHICLES;

AUTOMATED DRIVING; AUTOMATED DRIVING SYSTEMS; COGNITIVE PROCESSING; DRIVER ASSISTANCE SYSTEM; DRIVER DISTRACTIONS; DRIVER TAKE-OVER; DRIVING SIMULATOR; DRIVING SIMULATOR STUDY;

CRASHWORTHINESS;

ADULT; ATTENTION; COGNITION; DISTRACTED DRIVING; FEMALE; HUMAN; MALE; MIDDLE AGED; PHYSIOLOGY; PSYCHOLOGY; PSYCHOMOTOR PERFORMANCE; REACTION TIME; READING; WRITING; YOUNG ADULT;

ADULT; ATTENTION; COGNITION; DISTRACTED DRIVING; FEMALE; HUMANS; MALE; MIDDLE AGED; PSYCHOMOTOR PERFORMANCE; REACTION TIME; READING; WRITING; YOUNG ADULT;

EID: 84964691919     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2016.04.002     Document Type: Article

References (33)

1. O. Carsten, F. Lai, A. Barnard, N. Merat, and A. Jamson Control task substitution in semi-automated driving: does it matter what aspects are automated? Hum. Factors: J. Hum. Factors Ergon. Soc. 54 5 2012 747 761
2. J. Cohen Statistical Power Analysis for the Behavioral Sciences 2nd ed. 1988 Lawrence Erlbaum Associates Hillsdale, NJ
3. J. De Winter, R. Happee, M. Martens, and N.A. Stanton Effects of adaptive cruise control and highly automated driving on workload and situation awareness: a review of the empirical evidence Trans. Res. F: Traffic Psychol. Behav. 24 2014 196 217
4. T. Dingus, S. Klauer, V. Neale, A. Petersen, S.E. Lee, J. Sudweeks, M.A. Perez, J. Hankey, D. Ramsey, S. Gupta, C. Bucher, Z.R. Doerzaph, J. Jermeland, and R.R. Knipling The 100-Car Naturalistic Driving Study, Phase II -Results of the 100-Car Field Experiment 2006 National Highway Traffic Safety Administration Washington, D.C
5. M.R. Endsley Toward a theory of situation awareness in dynamic systems Hum. Factors 37 1 1995 32 64
6. J.A. Engström, E. Johansson, and J. Östlund Effects of viusal and cognitive load in real and simulated motorway driving Transp. Res. F: Traffic Psychol. Behav. 8 2005 97 120
7. F. Faul, E. Erdfelder, A.-G. Lang, and A. Buchner G∗Power 3: A flexible statistical power analysis program for the social, behavioral: and biomedical sciences Behav. Res. Methods 39 2007 175 191
8. Gold, C., Bengler, K., 2014. Taking over control from highly automated vehicles. In: Stanton, N.A., Landry, S., Di Bucchianico, G., Vallicelli, A. (Eds.), Proceedings of the 5th International Conference on Applied Human Factors and Ergonomics, pp. 64-69.
9. C. Gold, D. Damböck, L. Lorenz, and K. Bengler Take over! How long does it take to get the driver back into the loop? Proc. Hum. Factors Ergon. Soc. Annu. Meet. 2013 1938 1942
10. J. Greenberg, L. Tijerina, R. Curry, B. Artz, L. Cathey, P. Grant, D. Kochhar, K. Kozak, and M. Blommer Evaluation of driver distraction using an event detection paradigm J. Transp. Res. Board 1843 1 2003 1 9
11. L. Gugerty, M. Rakauskas, and J. Brooks Effects of remote and in-person verbal interactions on verbalization rates and attention to dynamic spatial scenes Accid. Anal. Prev. 36 6 2004 1029 1043
12. W. Horrey, and C. Wickens In-vehicle glance duration: distributions, tails, and model of crash risk Transp. Res. Rec. 2018 1 2007 22 28
13. W. Horrey, M. Lesch, and A. Garabet Dissociation between driving performance and drivers' subjective estimates of performance and workload in dual-task conditions J. Safety Res. 40 1 2009 7 12
14. A.F. Larsson, K. Kircher, and J.A. Hultgren Learning from experience: familiarity with ACC and responding to a cut-in situation in automated driving Transp. Res. F: Traffic Psychol. Behav. 27 2014 229 237
15. M.F. Lesch, and P.A. Hancock Driving performance during concurrent cell-phone use: are drivers aware of their performance decrements? Accid Anal. Prev. 36 3 2004 471 480
16. R. Llaneras, J. Salinger, and C. Green Human factors issues associated with limited ability autonomous driving systems: drivers' allocation of visual attention to the forward roadway Proceedings of the Seventh International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design 2013 92 98
17. R. Ma, and D. Kaber Situation awareness and workload in driving while using adaptive cruise control and a cell phone Int. J. Ind. Ergon. 35 2005 939 953
18. N. Merat, A. Jamson, F. Lai, and O. Carsten Highly automated driving, secondary task performance, and driver state Hum. Factors: J. Hum. Factors Ergon. Soc. 54 5 2012 762 771
19. F. Naujoks, C. Mai, and A. Neukum The effect of urgency of take-over requests during highly automated driving under distraction conditions T. Ahram, W. Karowski, T. Marek, Proceedings of the 5th International Conference on Applied Human Factors and Ergonomics AHFE 2014 2014 AHFE Conference Krakau 2099 2106
20. C. Neubauer, G. Matthews, and D. Saxby The effects of cell phone use and automation on driver performance and subjective state in simulated driving Proc. Hum. Factors Ergon. Soc. 56th Annu. Meet. 56 No. 1 2012 1987 1991 (Sage Publications)
21. R. Parasuraman, R. Molloy, and I.L. Singh Performance consequences of automation-inducedm 'complacency' Int. J. Aviat. Psychol. 3 1 1993 1 23
22. J. Patel, D.J. Ball, and H. Jones Factors influencing subjective ranking of driver distractions Accid. Anal. Prev. 40 1 2008 392 395
23. J. Radlmayr, C. Gold, L. Lorenz, M. Farid, and K. Bengler How traffic situations and non-driving related tasks affect the take-over quality in highly automated driving Proc. Hum. Factors Ergon. Society Annu. Meet. 2014 2063 2067
24. D. Ruscio, M. Ciceri, and F. Biassoni How does a collision warning system shape driver's brake response time?: The influence of expectancy and automation complacency on real-life emergency braking Accid. Anal. Prev. 77 2015 72 81
25. SAE International, 2014. Taxonomy and definitions for terms related to on-road motor vehicle automated driving systems (J3016). Retrieved from http://standards.sae.org/j3016-201401/.
26. D. Shinar, N. Tractinsky, and R. Compton Effects of practice, age, and task demands, on interference from a phone task while driving Accid. Anal. Prev. 37 2 2005 315 326
27. N.A. Stanton, M. Young, G. Walker, H. Turner, and S. Randle Automating the driver's control tasks Int. J. Cognit. Ergon. 5 3 2001 221 236
28. C. Wickens Processing resources in attention R. Parasuraman, D.R. Davies, Varieties of Attention 1984 Academic Press New York 63 102
29. M. Young, and N.A. Stanton Attention and automation: new perspectives on mental underload and performance Theor. Issues Ergon. Sci. 3 2 2002 178 194
30. M. Young, and N. Stanton Malleable attentional resources theory: a new explanation for the effects of mental underload on performance Hum Factors: J. Hum. Factors Ergon. Soc. 44 3 2002 365 375
31. K. Young, M. Regan, and M. Hammer Driver Distraction: a Review of the Literature 2003 Monash University Accident Research Centre Clayton Vic Australia 1 52
32. K. Zeeb, A. Buchner, and M. Schrauf What determines the take-over time?: An integrated model approach of driver take-over after automated driving Accid. Anal. Prev. 78 2015 212 221
33. A. Zlocki, and L. Eckstein Automated driving-concept and evaluation 23rd Aachen Colloquium Automob. Engine Technol. 2014 595 612