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Research Articles

Impacts of Attention Level on Manual Take-Over Performance in Automatic Driving on High-Speed Railways

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Pages 603-612 | Received 29 Jan 2022, Accepted 31 Aug 2022, Published online: 14 Sep 2022

References

  • Amado, S., Koyuncu, M., & Kaçaroǧlu, G. (2004). Evaluation of factors affecting safe driving: Demografic factors, experience, personality and psycho − technical evaluation. Turkish Journal of Psychology, 19(53), 23–47.
  • Arthur, W., & Doverspike, D. (1992). Locus of control and auditory selective attention as predictors of driving accident involvement: A comparative longitudinal investigation. Journal of Safety Research, 23(2), 73–80. https://doi.org/10.1016/0022-4375(92)90023-3
  • Bainbridge, L. (1983). Ironies of automation. Automatica, 19(6), 775–779. https://doi.org/10.1016/0005-1098(83)90046-8
  • Baloh, R. W., Sills, A. W., Kumley, W. E., & Honrubia, V. (1975). Quantitative measurement of saccade amplitude, duration, and velocity. Neurology, 25(11), 1065–1070. https://doi.org/10.1212/wnl.25.11.1065
  • Benedek, M., Stoiser, R., Walcher, S., & Körner, C. (2017). Eye behavior associated with internally versus externally directed cognition. Frontiers in Psychology, 8, 1092–1101. https://doi.org/10.3389/fpsyg.2017.01092
  • Bonnefond, A., Doignon-Camus, N., Touzalin-Chretien, P., & Dufour, A. (2010). Vigilance and intrinsic maintenance of alert state: An ERP study. Behavioural Brain Research, 211(2), 185–190. https://doi.org/10.1016/j.bbr.2010.03.030
  • Boyle, L. N., & Mannering, F. (2004). Impact of traveler advisory systems on driving speed: Some new evidence. Transportation Research Part C: Emerging Technologies, 12(1), 57–72. https://doi.org/10.1016/j.trc.2003.09.001
  • Brandenburg, S., & Chuang, L. L. (2019). Take-over requests during highly automated driving: How should they be presented and under what conditions? Transportation Research Part F: Traffic Psychology and Behaviour, 66, 214–225. https://doi.org/10.1016/j.trf.2019.08.023
  • Brandtner, A., Liebherr, M., Schweig, S., Maas, N., Schramm, D., & Brand, M. (2019). Subjectively estimated vs. objectively measured adaptation to driving simulators − effects of age, driving experience, and previous simulator adaptation. Transportation Research Part F: Traffic Psychology and Behaviour, 64, 440–446. https://doi.org/10.1016/j.trf.2019.05.019
  • Cabon, P. H., Coblentz, A., Mollard, R., & Fouillot, J. P. (1993). Human vigilance in railway and long − haul flight operation. Ergonomics, 36(9), 1019–1033. https://doi.org/10.1080/00140139308967974
  • Cheyne, J. A., Carriere, J. S., & Smilek, D. (2009). Absent minds and absent agents: Attention-lapse induced alienation of agency. Consciousness and Cognition, 18(2), 481–493. https://doi.org/10.1016/j.concog.2009.01.005
  • Duan, Y. Y., & Li, Z. Z. (2013). A review of researches on influencing factors of risky driving behavior. Chinese Journal of Ergonomics, 19(2), 86–91. https://doi.org/10.13837/j.issn.1006-8309.2013.02.023
  • Dunn, N., & Williamson, A. (2012). Driving monotonous routes in a train simulator: The effect of task demand on driving performance and subjective experience. Ergonomics, 55(9), 997–1008. https://doi.org/10.1080/00140139.2012.691994
  • Edkins, G. D., & Pollock, C. M. (1997). The Influence of sustained attention on railway accidents. Accident; Analysis and Prevention, 29(4), 533–539. https://doi.org/10.1016/S0001-4575(97)00033-X
  • Embrey, D., Blackett, C., Marsden, P., & Peachey, J. (2006). Development of a human cognitive workload assessment tool: MCA final report (Report No. RP546 Human Reliability Associates.
  • Engbert, R., Nuthmann, A., Richter, E., & Kliegl, R. (2005). SWIFT: A dynamical model of saccade generation during reading. Psychological Review, 112(4), 777–813. https://doi.org/10.1037/0033-295X.112.4.777
  • Faber, M., & D'Mello, S. K. (2018). How the stimulus influences mind wandering in semantically rich task contexts. Cognitive Research: Principles and Implications, 3, 35. https://doi.org/10.1186/s41235-018-0129-0
  • Fagnant, D. J., & Kockelman, K. M. (2015). Preparing a nation for autonomous vehicles: Opportunities, barriers and policy recommendations. Transportation Research Part A: Policy and Practice, 77, 167–181. https://doi.org/10.1016/j.tra.2015.04.003
  • Fan, C., Huang, S., Lin, S., Xu, D., Peng, Y., & Yi, S. (2022). Types, risk factors, consequences, and detection methods of train driver fatigue and distraction. Computational Intelligence and Neuroscience. Advance online publication. https://doi.org/10.1155/2022/8328077
  • Ferreira, I. S., Simões, M. R., & Marôco, J. P. (2013). Cognitive and psychomotor tests as predictors of on − road driving ability in older primary care patients. Transportation Research Part F: Traffic Psychology and Behaviour, 21, 146–158. https://doi.org/10.1016/j.trf.2013.09.007
  • Gotardi, G. C., Polastri, P. F., Paulo, S., Oudejans, R. R. D., van der John, V., Savelsbergh, G. J. P., Navarro, M., & Rodrigues, S. T. (2019). Adverse effects of anxiety on attentional control differ as a function of experience: A simulated driving study. Applied Ergonomics, 74, 41–47. https://doi.org/10.1016/j.apergo.2018.08.009
  • Guo, B., Mao, Y., Hedge, A., & Fang, W. (2015). Effects of apparent image velocity and complexity on the dynamic visual field using a high − speed train driving simulator. International Journal of Industrial Ergonomics, 48, 99–109. https://doi.org/10.1016/j.ergon.2015.04.005
  • Haga, S. (1984). An experimental study of signal vigilance errors in train driving. Ergonomics, 27(7), 755–765. https://doi.org/10.1080/00140138408963549
  • Hancock, P. A., & Parasuraman, R. (1992). Human factors and safety in the design of intelligent vehicle − highway systems (IVHS). Journal of Safety Research, 23(4), 181–198. https://doi.org/10.1016/0022-4375(92)90001-P
  • Inhoff, A. W., & Radach, R. (1998). Definition and computation of oculomotor measures in the study of cognitive processes. In G. Underwood (Ed.), Eye guidance in reading and scene perception (pp. 29–53). Elsevier Science. https://doi.org/10.1016/B978-008043361-5/50003-1
  • Kane, M. J., Gross, G. M., Chun, C. A., Smeekens, B. A., Meier, M. E., Silvia, P. J., & Kwapil, T. R. (2017). For whom the mind wanders, and when, varies across laboratory and daily-life settings. Psychological Science, 28(9), 1271–1289. https://doi.org/10.1177/0956797617706086
  • Kerschbaum, P., Lorenz, L., & Bengler, K. (2015, June 28 − July1) A transforming steering wheel for highly automated cars [Paper presentation].[Paper presentation]. Paper presented at the proceedings of the 015 IEEE Intelligent Vehicles Symposium (IV), Seoul, South Korea.
  • Killingsworth, M. A., & Gilbert, D. T. (2010). A wandering mind is an unhappy mind. Science, 330(6006), 932–932. https://doi.org/10.1126/science.1192439
  • Kim, J., Kim, W., Kim, H. S., Lee, S. J., Kwon, O. C., & Yoon, D. (2022). A novel study on subjective driver readiness in terms of non-driving related tasks and take-over performance. ICT Express, 8(1), 91–96. https://doi.org/10.1016/j.icte.2021.04.008
  • Krasich, K., McManus, R., Hutt, S., Faber, M., D'Mello, S. K., & Brockmole, J. R. (2018). Gaze-based signatures of mind wandering during real-world scene processing. Journal of Experimental Psychology. General, 147(8), 1111–1124. https://doi.org/10.1037/xge0000411
  • Large, D. R., Golightly, D., & Taylor, E. (2017). Train-driving simulator studies: Can novice drivers deliver the goods? Journal of Rail and Rapid Transit, 231(10), 1186–1194. https://doi.org/10.1177/0954409717704260
  • Lee, H. H., Chen, Z. L., Yeh, S. L., Hsiao, J. H., & Wu, A. Y. (2021). When eyes wander around: Mind-wandering as revealed by eye movement analysis with Hidden Markov Models. Sensors, 21(22), 7569. https://doi.org/10.3390/s21227569
  • Lee, S. C., Yoon, S. H., & Ji, Y. G. (2020). Effects of non − driving − related task attributes on takeover quality in automated vehicles. International Journal of Human − Computer Interaction, 37(4), 1–9. https://doi.org/10.1080/10447318.2020.1815361
  • Lewis-Evans, B., & Charlton, S. G. (2006). Explicit and implicit processes in behavioural adaptation to road width. Accident; Analysis and Prevention, 38(3), 610–617. https://doi.org/10.1016/j.aap.2005.12.005
  • Liversedge, S. P., Paterson, K. B., & Pickering, M. J. (1998). Eye movements and measures of reading time. In G. Underwood (Ed.), Eye guidance in reading and scene perception (pp. 55–75). Elsevier Science. https://doi.org/10.1016/B978-008043361-5/50004-3
  • Louw, T., & Merat, N. (2017). Are you in the loop? Using gaze dispersion to understand driver visual attention during vehicle automation. Transportation Research Part C: Emerging Technologies, 76, 35–50. https://doi.org/10.1016/j.trc.2017.01.001
  • Melcher, V., Rauh, S., Diederichs, F., Widlroither, H., & Bauer, W. (2015). Take-over requests for automated driving. Procedia Manufacturing, 3, 2867–2873. https://doi.org/10.1016/j.promfg.2015.07.788
  • Marumo, Y., Tsunashima, H., Yamazaki, H., Iizuka, Y., & Kojima, T. (2008). Evaluation of braking behaviour for train drivers using phase-plane trajectories. Vehicle System Dynamics, 46(sup1), 729–735. https://doi.org/10.1080/00423110802037008
  • Matthews, G., Saxby, D., Funke, G., Emo, A., & Desmond, P. (2011). Driving in states of fatigue or stress. In D. L. Fisher, J. Caird, & M. Rizzo (Eds.), Handbook of driving simulation for engineering, medicine, and psychology (pp. 389–394). CRC Press.
  • Merat, N., & Waard, D. (2014). Human factors implications of vehicle automation: Current understanding and future directions. Transportation Research Part F: Traffic Psychology and Behaviour, 27(B), 193–195. https://doi.org/10.1016/j.trf.2014.11.002
  • Naujoks, F., Höfling, S., Purucker, C., & Zeeb, K. (2018). From partial and high automation to manual driving: Relationship between non-driving related tasks, drowsiness and take-over performance. Accident; Analysis and Prevention, 121, 28–42. https://doi.org/10.1016/j.aap.2018.08.018
  • Niu, Y. F., Xue, C. Q., Zhou, X. Z., Zhou, L., Xie, Y., Wang, H. Y., Tang, W. Z., Wu, W. Y., Guo, Q., & Jin, T. (2019). Which is more prominent for fighter pilots under different flight task difficulties: Visual alert or verbal alert? International Journal of Industrial Ergonomics, 72, 146–157. https://doi.org/10.1016/j.ergon.2019.05.010
  • Onnasch, L., Wickens, C. D., Li, H., & Manzey, D. (2014). Human performance consequences of stages and levels of automation: An integrated meta − analysis. Human Factors, 56(3), 476–488. https://doi.org/10.1177/0018720813501549
  • Parasuraman, R. (1998). The attentive brain: Issues and prospects. MIT Press.
  • Petermeijer, S. M., Cieler, S., & de Winter, J. C. F. (2017). Comparing spatially static and dynamic vibrotactile takeover requests in the driver seat. Accident; Analysis and Prevention, 99(Pt A), 218–227. https://doi.org/10.1016/j.aap.2016.12.001
  • Petilli, M. A., Trisolini, D. C., & Daini, R. (2018). Sustained-paced finger tapping: A novel approach to measure internal sustained attention. Frontiers in Psychology, 9, 881. https://doi.org/10.3389/fpsyg.2018.00881
  • Regan, M. A., Hallett, C., & Gordon, C. P. (2011). Driver distraction and driver inattention: Definition, relationship and taxonomy. Accident; Analysis and Prevention, 43(5), 1771–1781. https://doi.org/10.1016/j.aap.2011.04.008
  • Reilly, R., & Radach, R. (2006). Some empirical tests of an interactive activation model of eye movement control in reading. Cognitive Systems Research, 7(1), 34–55. https://doi.org/10.1016/j.cogsys.2005.07.006
  • Rosenberg, M., Noonan, S., DeGutis, J., & Esterman, M. (2013). Sustaining visual attention in the face of distraction: A novel gradual-onset continuous performance task. Attention, Perception & Psychophysics, 75(3), 426–439. https://doi.org/10.3758/s13414-012-0413-x
  • Saxby, D. J., Matthews, G., Warm, J. S., Hitchcock, E. M., & Neubauer, C. (2013). Active and passive fatigue in simulated driving: Discriminating styles of workload regulation and their safety impacts. Journal of Experimental Psychology. Applied, 19(4), 287–300. https://doi.org/10.1037/a0034386
  • Schmidt, E. A., Schrauf, M., Simon, M., Fritzsche, M., Buchner, A., & Kincses, W. E. (2009). Drivers’ misjudgement of vigilance state during prolonged monotonous daytime driving. Accident; Analysis and Prevention, 41(5), 1087–1093. https://doi.org/10.1016/j.aap.2009.06.007
  • Seli, P., Beaty, R. E., Cheyne, J. A., Smilek, D., Oakman, J., & Schacter, D. L. (2018). How pervasive is mind wandering, really? Consciousness and Cognition, 66, 74–78. https://doi.org/10.1016/j.concog.2018.10.002
  • Shalev, L., Ben-Simon, A., Mevorach, C., Cohen, Y., & Tsal, Y. (2011). Conjunctive continuous performance task (CCPT)—A pure measure of sustained attention. Neuropsychologia, 49(9), 2584–2591. https://doi.org/10.1016/j.neuropsychologia.2011.05.006
  • Singer, J. L., Greenberg, S., & Antrobus, J. S. (1971). Looking with the mind’s eye: Experimental studies of ocular motility during daydreaming and mental arithmetic. Transactions of the New York Academy of Sciences, 33(7), 694–709. https://doi.org/10.1111/j.2164-0947.1971.tb02633.x
  • Smallwood, J., Brown, K. S., Tipper, C., Giesbrecht, B., Franklin, M. S., Mrazek, M. D., Carlson, J. M., & Schooler, J. W. (2011). Pupillometric evidence for the decoupling of attention from perceptual input during offline thought. PLOS One. 6(3), e18298. https://doi.org/10.1371/journal.pone.0018298
  • Smallwood, J., & Schooler, J. W. (2015). The science of mind wandering: Empirically navigating the stream of consciousness. Annual Review of Psychology, 66, 487–518. https://doi.org/10.1146/annurev-psych-010814-015331
  • Smiley, A. M. (1990). The Hinton train disaster. Accident; Analysis and Prevention, 22(5), 443–455. https://doi.org/10.1016/0001-4575(90)90039-N
  • Sostek, A. J., Buchsbaum, M. S., & Rapoport, J. L. (1980). Effects of amphetamine on vigilance performance in normal and hyperactive children. Journal of Abnormal Child Psychology, 8(4), 491–500. https://doi.org/10.1007/BF00916502
  • Sternberg, R. J. (1981). Testing and cognitive psychology. American Psychologist, 36(10), 1181–1189. https://doi.org/10.1037/0003-066X.36.10.1181
  • Underwood, G., Crundall, D., & Chapman, P. (2011). Driving simulator validation with hazard perception. Transportation Research Part F: Traffic Psychology and Behaviour, 14(6), 435–446. https://doi.org/10.1016/j.trf.2011.04.008
  • Vogelpohl, T., Kühn, M., Hummel, T., Gehlert, T., & Vollrath, M. (2018). Transitioning to manual driving requires additional time after automation deactivation. Transportation Research Part F: Traffic Psychology and Behaviour, 55, 464–482. https://doi.org/10.1016/j.trf.2018.03.019
  • Weissman, D. H., Roberts, K. C., Visscher, K. M., & Woldorff, M. G. (2006). The neural bases of momentary lapses in attention. Nature Neuroscience, 9(7), 971–978. https://doi.org/10.1038/nn1727
  • Wu, Y., Kihara, K., Hasegawa, K., Takeda, Y., Sato, T., Akamatsu, M., & Kitazaki, S. (2020). Age-related differences in effects of non-driving related tasks on takeover performance in automated driving. Journal of Safety Research, 72, 231–238. https://doi.org/10.1016/j.jsr.2019.12.019
  • Wu, Y., Kihara, K., Takeda, Y., Sato, T., Akamatsu, M., & Kitazaki, S. (2019). Effects of scheduled manual driving on drowsiness and response to take over request: A simulator study towards understanding drivers in automated driving. Accident; Analysis and Prevention, 124, 202–209. https://doi.org/10.1016/j.aap.2019.01.013
  • Yanko, M. R., & Spalek, T. M. (2013a). Driving with the wandering mind: The effect that mind-wandering has on driving performance. Human Factors, 56(2), 260–269. https://doi.org/10.1177/0018720813495280
  • Yanko, M. R., & Spalek, T. M. (2013b). Route familiarity breeds inattention: A driving simulator study. Accident; Analysis and Prevention, 57, 80–86. https://doi.org/10.1016/j.aap.2013.04.003
  • Yerkes, R. M., & Dodson, J. D. (1908). The relation of strength of stimulus to rapidity of habit − formation. Journal of Comparative Neurology and Psychology, 18(5), 459–482. https://doi.org/10.1002/cne.920180503
  • Young, M. S., & Stanton, N. A. (2002). Attention and automation: New perspectives on mental underload and performance. Theoretical Issues in Ergonomics Science, 3(2), 178–194. https://doi.org/10.1080/14639220210123789
  • Zeeb, K., Buchner, A., & Schrauf, M. (2015). What determines the takeover time? An integrated model approach of driver takeover after automated driving. Accident; Analysis and Prevention, 78, 212–221. https://doi.org/10.1016/j.aap.2015.02.023
  • Zhou, F., Yang, X. J., & Zhang, X. (2020). Takeover transition in autonomous vehicles: A YouTube study. International Journal of Human − Computer Interaction, 36(3), 1−12. https://doi.org/10.1080/10447318.2019.1634317

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