Abstract
Warning system design is critical to road safety in the automated driving takeover process. Two-stage warning system had been proposed to be an optimal solution to achieve better takeover performance. However, the two-stage warning system design needs further verification and validation. The primary purpose of this study is to explore the effect of warning content on takeover performance during the automated driving takeover process with a two-stage warning system design. Trust evaluations for the warning systems were also examined to validate the user experience with the alarm design. A within-subject design was used in this study. The within-subject factor was the warning content related to hazard information with two levels: warning with content and warning without content. A driving simulation experiment was conducted, and 32 participants (16 males, 16 females) drove two sessions with the two kinds of warning system design. The results showed that providing warning content to the TOR stage in the two-stage warning system design could result in slower reaction time and shorter TTCwpll. With or without warning content design did not influence drivers’ trust evaluation for the two-stage warning system. This finding suggested that warning content should not be provided to the TOR stage when designing the two-stage warning system, which may result in traffic incidents due to an untimely takeover. This study helps design takeover warning systems.
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References
Boggs, A.M., Arvin, R., Khattak, A.J.: Exploring the who, what, when, where, and why of automated vehicle disengagements. Accid. Anal. Prev. 136, 105406 (2020)
Eriksson, A., Stanton, N.A.: Driving performance after self-regulated control transitions in highly automated vehicles. Hum. Factors 59(8), 1233–1248 (2017)
Wan, J., Wu, C.: The effects of vibration patterns of take-over request and non-driving tasks on taking-over control of automated vehicles. Int. J. Hum.-Comput. Interact. 34(11), 987–998 (2018)
Arvin, R., Khattak, A.J., Kamrani, M., Rio-Torres, J.: Safety evaluation of connected and automated vehicles in mixed traffic with conventional vehicles at intersections. J. Intell. Trans. Syst. 25(2), 170–187 (2020)
SAE International: Taxonomy and definitions for terms related to driving automation systems for on-road motor vehicles (Technical report No. J3016) (2018)
Gold, C., Happee, R., Bengler, K.: Modeling take-over performance in level 3 conditionally automated vehicles. Accid. Anal. Prev. 116, 3–13 (2018)
Gold, C., Berisha, I., Bengler, K.: Utilization of drivetime–performing non-driving related tasks while driving highly automated. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, pp. 1666–1670. SAGE Publications, Sage CA: Los Angeles, CA (2015)
Bazilinskyy, P., de Winter, J.C.: Analyzing crowdsourced ratings of speech-based take-over requests for automated driving. Appl. Ergon. 64, 56–64 (2017)
Morales-Alvarez, W., Sipele, O., LĂ©beron, R., Tadjine, H.H., Olaverri-Monreal, C.: Automated driving: A literature review of the take over request in conditional automation. Electronics 9(12), 2087 (2020)
McDonald, A.D., et al.: Toward computational simulations of behavior during automated driving takeovers: a review of the empirical and modeling literatures. Hum. Factors 61(4), 642–688 (2019)
Zhang, B., de Winter, J., Varotto, S., Happee, R., Martens, M.: Determinants of take-over time from automated driving: A meta-analysis of 129 studies. Transport. Res. F: Traffic Psychol. Behav. 64, 285–307 (2019)
Weaver, B.W., DeLucia, P.R.: A systematic review and meta-analysis of takeover performance during conditionally automated driving. Human factors 0018720820976476 (2020)
Ma, S., Zhang, W., Shi, J., Yang, Z.: The human factors of the take-over process in conditional automated driving based on cognitive mechanism. Adv. Psychol. Sci. 28(1), 150 (2020)
Wu, H., Wu, C., Lyu, N., Li, J.: Does a faster takeover necessarily mean it is better? A study on the influence of urgency and takeover-request lead time on takeover performance and safety. Accid. Anal. Prev. 171, 106647 (2022)
Tan, X., Zhang, Y.: The effects of takeover request lead time on drivers’ situation awareness for manually exiting from freeways: A web-based study on level 3 automated vehicles. Accid. Anal. Prev. 168, 106593 (2022)
Cohen-Lazry, G., Katzman, N., Borowsky, A., Oron-Gilad, T.: Directional tactile alerts for take-over requests in highly-automated driving. Transport. Res. F: Traffic Psychol. Behav. 65, 217–226 (2019)
Gruden, T., TomaĹľiÄŤ, S., Sodnik, J., Jakus, G.: A user study of directional tactile and auditory user interfaces for take-over requests in conditionally automated vehicles. Accid. Anal. Prev. 174, 106766 (2022)
Tang, Q., Guo, G., Zhang, Z., Zhang, B., Wu, Y.: Olfactory facilitation of takeover performance in highly automated driving. Hum. Factors 63(4), 553–564 (2021)
Bazilinskyy, P., Petermeijer, S.M., Petrovych, V., Dodou, D., de Winter, J.C.: Take-over requests in highly automated driving: A crowdsourcing survey on auditory, vibrotactile, and visual displays. Transport. Res. F: Traffic Psychol. Behav. 56, 82–98 (2018)
Walch, M., Woide, M., Mühl, K., Baumann, M., Weber, M.: Cooperative overtaking: Overcoming automated vehicles' obstructed sensor range via driver help. In: Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, pp. 144–155. (2019)
Kim, W., Kim, J., Kim, H.S., Lee, S.J., Yoon, D.: A study on the driver’s response performance according to modality of planned TOR in automated driving. In: 2019 International Conference on Information and Communication Technology Convergence (ICTC), pp. 1471–1473. IEEE (2019)
Geitner, C., Biondi, F., Skrypchuk, L., Jennings, P., Birrell, S.: The comparison of auditory, tactile, and multimodal warnings for the effective communication of unexpected events during an automated driving scenario. Transport. Res. F: Traffic Psychol. Behav. 65, 23–33 (2019)
Yoon, S.H., Kim, Y.W., Ji, Y.G.: The effects of takeover request modalities on highly automated car control transitions. Accid. Anal. Prev. 123, 150–158 (2019)
Ma, S., et al.: Take over gradually in conditional automated driving: the effect of two-stage warning systems on situation awareness, driving stress, takeover performance, and acceptance. Int. J. Hum.–Comput. Interact. 37(4), 352–362 (2021)
Zhang, W., et al.: Optimal Time Intervals in Two-Stage Takeover Warning Systems With Insight Into the Drivers’ Neuroticism Personality. Front. Psychol. 157 (2021)
Wright, T.J., Agrawal, R., Samuel, S., Wang, Y., Zilberstein, S., Fisher, D.L.: Effects of alert cue specificity on situation awareness in transfer of control in level 3 automation. Transp. Res. Rec. 2663(1), 27–33 (2017)
Lu, Z., Happee, R., Cabrall, C.D., Kyriakidis, M., de Winter, J.C.: Human factors of transitions in automated driving: A general framework and literature survey. Transport. Res. F: Traffic Psychol. Behav. 43, 183–198 (2016)
Lu, Z., Zhang, B., Feldhütter, A., Happee, R., Martens, M., De Winter, J.C.: Beyond mere take-over requests: The effects of monitoring requests on driver attention, take-over performance, and acceptance. Transport. Res. F: Traffic Psychol. Behav. 63, 22–37 (2019)
Zhang, B., Lu, Z., Happee, R., de Winter, J., Martens, M.: Compliance with monitoring requests, biomechanical readiness, and take-over performance: Video analysis from a simulator study. In: 13th ITS European Congress, pp. ITS-1977 (2019)
Winkler, S., Werneke, J., Vollrath, M.: Timing of early warning stages in a multi stage collision warning system: Drivers’ evaluation depending on situational influences. Transport. Res. F: Traffic Psychol. Behav. 36, 57–68 (2016)
Epple, S., Roche, F., Brandenburg, S.: The sooner the better: Drivers’ reactions to two-step take-over requests in highly automated driving. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, pp. 1883–1887. SSAGE Publications, age CA: Los Angeles, CA: (2018)
Forster, Y., Naujoks, F., Neukum, A., Huestegge, L.: Driver compliance to take-over requests with different auditory outputs in conditional automation. Accid. Anal. Prev. 109, 18–28 (2017)
Ji, W., Liu, R., Lee, S.: Do drivers prefer female voice for guidance? An interaction design about information type and speaker gender for autonomous driving car. In: International Conference on Human-Computer Interaction, pp. 208–224. Springer, Cham (2019)
Du, N., Zhou, F., Tilbury, D., Robert, L.P., Yang, X.J.: Designing Alert Systems in Takeover Transitions: The Effects of Display Information and Modality. In: 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, pp. 173–180 (2021)
Wan, J., Wu, C., Zhang, Y.: Effects of lead time of verbal collision warning messages on driving behavior in connected vehicle settings. J. Safety Res. 58, 89–98 (2016)
Jian, J.Y., Bisantz, A.M., Drury, C.G.: Foundations for an empirically determined scale of trust in automated systems. Int. J. Cogn. Ergon. 4(1), 53–71 (2000)
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Zhang, Y., Ma, Q., Qu, J., Zhou, R. (2023). Designing Two-Stage Warning Systems: The Effect of Hazard Information. In: Rau, PL.P. (eds) Cross-Cultural Design. HCII 2023. Lecture Notes in Computer Science, vol 14023. Springer, Cham. https://doi.org/10.1007/978-3-031-35939-2_36
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DOI: https://doi.org/10.1007/978-3-031-35939-2_36
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