Publication | Closed Access
An Evaluation of Inclusive Dialogue-Based Interfaces for the Takeover of Control in Autonomous Cars
30
Citations
34
References
2018
Year
Unknown Venue
Artificial IntelligenceEngineeringHuman-machine InteractionAutonomous CarsAdvanced Driver-assistance SystemSpoken Dialog SystemIntelligent SystemsCommunicationInclusive Dialogue-based InterfacesSocial SciencesDriver BehaviorSystems EngineeringConversation AnalysisCognitive ScienceAssistive TechnologyDialogue ManagementDesignAutonomous DrivingDriver PerformanceCountdown TimerTactile CuesAutomationHuman-ai InteractionHuman-computer InteractionSystem AutonomyRoboticsFormative Research
This paper presents formative research to inform the design of intelligent automotive user interfaces. It describes an evaluation of dialogue-based interfaces, mediating the driver to take back control from the autonomous mode of a car. Four concepts designed to increase driver Situation Awareness were evaluated in a driving simulator. They used dialogue-based interaction, where driving-related information was either asked from or repeated by the driver, with the alternative of a countdown-based interface with no additional information. An inclusive set of participants, with a wide age spectrum, tested the interfaces. The shorter and simpler interaction of the countdown timer was most accepted. The interface seeking answers to driving-related questions came next, and the interface requiring repetition of driving-related information, even when augmented by visual and tactile cues, was least accepted. Design guidelines on utilizing dialogue as a means of keeping the driver in the loop during a takeover were thus derived.
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