How Important is the Plausibility of Test Scenarios Within Usability Studies for AV HMI

We examined the necessity for plausibilization of test scenarios within usability studies for AV HMIs in driving simulator studies. One group of drivers experienced system-initiated transitions without any obvious reason, the other with plausible reasons (e.g. fog for L3 → L2 transition, broken-down vehicle for L3 TOR). The results showed that reaction times to TORs were not influenced by the plausibility while the type of reaction was. Drivers reported less system trust but still knew how to react to the transitions. Non-plausibility did not negatively affect system acceptance. It can be concluded that plausibilization is not necessarily required for all kinds of research questions.

[1]  Philipp Wintersberger,et al.  Attentive User Interfaces to Improve Multitasking and Take-Over Performance in Automated Driving: The Auto-Net of Things , 2019, Int. J. Mob. Hum. Comput. Interact..

[2]  Linjun Lu,et al.  Miss-and-run: Factors contributing to two-vehicle phantom vehicle crashes in Florida , 2019, Traffic injury prevention.

[3]  Klaus Bengler,et al.  The Influence of Non-driving Related Tasks on Driver Availability in the Context of Conditionally Automated Driving , 2018, Advances in Intelligent Systems and Computing.

[4]  Alberto Morando,et al.  Users’ Response to Critical Situations in Automated Driving: Rear-Ends, Sideswipes, and False Warnings , 2021, IEEE Transactions on Intelligent Transportation Systems.

[5]  Josef F. Krems,et al.  Prior Familiarization With Takeover Requests Affects Drivers’ Takeover Performance and Automation Trust , 2017, Hum. Factors.

[6]  Frederik Naujoks,et al.  Noncritical State Transitions During Conditionally Automated Driving on German Freeways: Effects of Non–Driving Related Tasks on Takeover Time and Takeover Quality , 2019, Hum. Factors.

[7]  Natalie T. Richardson,et al.  Takeover Requests in Highly Automated Truck Driving: How Do the Amount and Type of Additional Information Influence the Driver-Automation Interaction? , 2018, Multimodal Technol. Interact..

[8]  Lisa J. Molnar,et al.  Understanding trust and acceptance of automated vehicles: An exploratory simulator study of transfer of control between automated and manual driving , 2018, Transportation Research Part F: Traffic Psychology and Behaviour.

[9]  Nadja Schömig,et al.  Test procedure for evaluating the human–machine interface of vehicles with automated driving systems , 2019, Traffic injury prevention.