The Impact of Autonomous Vehicles’ Active Feedback on Trust
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The successful introduction of self-driving technology may depend on the ability of the vehicles’ human-machine interface to convey trust to the vehicle occupants. Using a driving simulator, in this experiment we aimed to evaluate drivers’ trust on an autonomous system, depending on the feedback the vehicle provided by an assistive cluster’s interface. Forty participants were divided into three groups regarding levels of feedback: (a) cluster without feedback (N = 13); (b) cluster with feedback regarding the surrounding vehicles (N = 14); (c) cluster with feedback regarding the surrounding vehicles and the vehicle’s own decisions (N = 13). For all groups, a visual search task was introduced as an indirect indicator of trust in the autonomous system. Results showed an inverse relation between available feedback and correct answers. The system was evaluated as trustable and safe by all groups. Overall, the results may contribute to design requirements for future vehicle HMIs, as they indicate that more information does not necessarily convey more trust.
KeywordsAutonomous driving Trust Cluster’s feedback Visual search task
This work has been supported by FCT – Fundação para a Ciência e Tecnologia the scope of the Project: UID/CEC/00319/2019 and by: European Structural and Investment Funds in the FEDER component, through the Operational Competitiveness and Internationalization Programme (COMPETE 2020) [Project no. 039334; Funding Reference: POCI-01-0247-FEDER-039334].
- Engström, J., Johansson, E., Östlund, J.: Effects of visual and cognitive load in real and simulated motorway driving. Transp. Res. Part F Traffic Psychol. Behav. 8(2 SPEC. ISS.), 97–120. https://doi.org/10.1016/j.trf.2005.04.012
- Haeuslschmid, R., von Buelow, M., Pfleging, B., Butz, A.: Supporting trust in autonomous driving. In Proceedings of the 22nd International Conference on Intelligent User Interfaces - IUI 2017, pp. 319–329 (2017). https://doi.org/10.1145/3025171.3025198
- Helldin, T., Falkman, G., Riveiro, M., Davidsson, S.: Presenting system uncertainty in automotive UIs for supporting trust calibration in autonomous driving. In: Proceedings of International Conference on Automotive User Interfaces Interactive Vehicles, vol. 5, pp. 210–217 (2013). https://doi.org/10.1111/j.1600-0714.1976.tb01762.x
- Koo, J., Kwac, J., Ju, W., Steinert, M., Leifer, L., Nass, C.: Why did my car just do that? Explaining semi-autonomous driving actions to improve driver understanding, trust, and performance. Int. J. Interact. Des. Manuf. (IJIDeM) 9(4), 269–275 (2015). https://doi.org/10.1007/s12008-014-0227-2CrossRefGoogle Scholar
- Lee, J., Kim, N., Imm, C., Kim, B., Yi, K., Kim, J.: A question of trust: an ethnographic study of automated cars on real roads. In: Proceedings of the 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications – Automotive UI 2016, pp. 201–208 (2016). https://doi.org/10.1145/3003715.3005405
- Llaneras, R.E., Green, C.A.: Human factors issues associated with limited ability autonomous driving systems : drivers’ allocation of visual attention to the forward roadway, pp. 92–98 (2013)Google Scholar
- Morris, D.M., Erno, J.M., Pilcher, J.J.: Electrodermal response and automation trust during simulated self-driving car use. In: Proceedings of the Human Factors and Ergonomics Society, pp. 1759–1762 (2017). https://doi.org/10.1177/1541931213601921
- Ruijten, P.A.M., Terken, J.M.B., Chandramouli, S.N.: Enhancing Trust in Autonomous Vehicles through Intelligent User Interfaces That Mimic Human Behavior (2018). https://doi.org/10.3390/mti2040062
- Schmidt, E., Decke, R., Rasshofer, R., Bullinger, A.C.: Psychophysiological responses to short-term cooling during a simulated monotonous driving task. Appl. Ergon. 62, 9–18 (2017). http://doi.org/10.1016/j.apergo.2017.01.017
- Young, M.S., Brookhuis, K.A., Wickens, C.D., Hancock, P.A.: State of science: mental workload in ergonomics. Ergonomics (2015). https://doi.org/10.1080/00140139.2014.956151