The role of take-over cue informativity in interrupted take-over requests in a semi-automated driving scenario
Alexander Berger, Nicole Damm, Martin Baumann, Markus Kiefer

TL;DR
This study examines how informative take-over cues in semi-automated driving are affected when drivers are interrupted, finding that their effectiveness decreases with distractions but improves with practice.
Contribution
The study identifies how interrupting tasks and practice moderate the effectiveness of informative take-over cues in semi-automated driving.
Findings
Informative TOR cues improve take-over performance compared to generic cues.
Interrupting tasks reduce the advantage of informative cues, but this effect diminishes with practice.
The negative impact of interruptions on cue effectiveness takes time to reach its maximum.
Abstract
In semi-automated driving, take-over requests (TOR) signal the driver to take over control, if the car’s driving system is not able to handle a particular traffic situation autonomously. While previous research indicated that providing informative TORs aids take-over behavior, related experimental research on task cuing suggested that informative cues might also be harmful, if interrupted by another task. Hence, the present study tested whether the advantage of informative TORs diminishes if after a TOR cue an interrupting task is presented. This should resemble a scenario, where drivers are about to take over control in response to a TOR, but then are distracted, for example by an incoming phone call. To this end, we presented participants with videos of a semi-automated driving situation, where task-specific informative or generic, non-informative TOR cues indicated an upcoming…
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Taxonomy
TopicsHuman-Automation Interaction and Safety · Traffic and Road Safety · Behavioral Health and Interventions
