Exploring the effectiveness of a digital voice assistant to maintain driver alertness in partially automated vehicles

References

• Atchley P, Chan M, Gregersen S. 2014. A strategically timed verbal task improves performance and neurophysiological alertness during fatiguing drives. Hum Factors. 56(3):453–462. doi:10.1177/0018720813500305
   PubMed Web of Science ®Google Scholar
• Choudhary P, Velaga NR. 2018. Performance Degradation During Sudden Hazardous Events: A Comparative Analysis of Use of a Phone and a Music Player During Driving. IEEE Trans. Intell. Transp Syst. 11(20):4055–4065.
   Google Scholar
• Drews FA, Pasupathi M, Strayer DL. 2008. Passenger and cell phone conversations in simulated driving. J Exp Psychol Appl. 14(4):392–400. doi:10.1037/a0013119
   PubMed Web of Science ®Google Scholar
• Gold C, Happee R, Bengler K. 2018. Modeling take-over performance in level 3 conditionally automated vehicles. Accid Anal Prev. 116:3–13. doi:10.1016/j.aap.2017.11.009
   PubMed Web of Science ®Google Scholar
• Jellentrup N, Metz B, Rothe S. 2011. Can talking on the phone keep the driver awake? Results of a field- study using telephoning as a countermeasure against fatigue while. In: 2nd International conference on driver distraction and inattention. p. 12. Available at: https://document.chalmers.se/download?docid=462321501.
   Google Scholar
• Körber M, Cingel A, Zimmermann M, Bengler K. 2015. Vigilance decrement and passive fatigue caused by monotony in automated driving. Proc Manuf. 3:2403–2409. doi:10.1016/j.promfg.2015.07.499
   Google Scholar
• Laan JD, Van der, Heino A, de Waard DA. 1997. Simple procedure for the assessment of acceptance of advanced transport telematics. Transp Res Part C Emerg Technol. 5(1):1–10. doi:10.1016/S0968-090X(96)00025-3
   Web of Science ®Google Scholar
• Large DR, Burnett G, Antrobus V, Skrypchuk L. 2018. Driven to discussion: engaging drivers in conversation with a digital assistant as a countermeasure to passive task-related fatigue. IET Intell Transp Syst. 12(6):420–426. http://digital-library.theiet.org/content/journals/10.1049/iet-its.2017.0201.
   Web of Science ®Google Scholar
• Mahajan K, Velaga NR. 2020. Effects of partial sleep deprivation on braking response of drivers in hazard scenarios. Accid Anal Prev. 142:105545–105522. doi:10.1016/j.aap.2020.105545
   PubMed Web of Science ®Google Scholar
• Naujoks F, Hergeth S, Wiedemann K, Schömig N, Forster Y, Keinath A. 2019. Test procedure for evaluating the human-machine interface of vehicles with automated driving systems. Traffic Inj Prev. 20(sup1):S146–S151. doi:10.1080/15389588.2019.1603374
   PubMed Web of Science ®Google Scholar
• Neubauer C, Matthews G, Saxby D. 2014. Fatigue in the automated vehicle: do games and conversation distract or energize the driver? Proc Hum Factors Ergon Soc. 58(1):2053–2057. 2014-Janua(2009):doi:10.1177/1541931214581432
   Google Scholar
• Ntoumanis N. 2001. A Step-by-Step Guide to SPSS for Sport and Exercise Studies. 1st ed. London.
   Google Scholar
• Samuel S, Borowsky A, Zilberstein S, Fisher DL. 2016. Minimum time to situation awareness in scenarios involving transfer of control from an automated driving suite. Transp Res Rec. 2602(1):115–120. http://trrjournalonline.trb.org/doi/10.3141/2602-14.
   Web of Science ®Google Scholar
• Saxby DJ, Matthews G, Neubauer C. 2017. The relationship between cell phone use and management of driver fatigue: it's complicated. J Saf Res. 61:129–140. doi:10.1016/j.jsr.2017.02.016
   PubMed Web of Science ®Google Scholar
• Vlakveld W, van Nes N, de Bruin J, Vissers L, van der Kroft M. 2018. Situation awareness increases when drivers have more time to take over the wheel in a Level 3 automated car: a simulator study. Transp Res Part F Traffic Psychol Behav. 58:917–929. doi:10.1016/j.trf.2018.07.025
   Web of Science ®Google Scholar
• Vogelpohl T, Kühn M, Hummel T, Vollrath M. 2018. Asleep at the automated wheel — Sleepiness and fatigue during highly automated driving. Accid. Anal. Prev. 126:70–84. doi:10.1016/j.aap.2018.03.013
   Google Scholar
• Wong PNY, Brumby DP, Ramesh BH, Kobayashi K. 2019. Voices in self-driving cars should be assertive to more quickly grab a distracted driver’s attention. In: Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. p. 165–176.
   Google Scholar
• 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. Accid Anal Prev. 124(January):202–209. doi:10.1016/j.aap.2019.01.013
   PubMed Web of Science ®Google Scholar
• 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. J Safety Res. 72:231–238. doi:10.1016/j.jsr.2019.12.019
   PubMed Web of Science ®Google Scholar
• Zeeb K, Buchner A, Schrauf M. 2015. What determines the take-over time? An integrated model approach of driver take-over after automated driving. Accid Anal Prev. 78:212–221. doi:10.1016/j.aap.2015.02.023
   PubMed Web of Science ®Google Scholar