Publication | Closed Access
Unimodal and Multimodal Signals to Support Control Transitions in Semiautonomous Vehicles
21
Citations
40
References
2019
Year
Unknown Venue
EngineeringVehicle ControlVehicle DynamicMultimodal SignalsMotor ControlAttentionReaction TimesSocial SciencesReaction TimeKinesiologyDriver BehaviorSupport Control TransitionsControl TransitionsMultisensory IntegrationSensorimotor ControlCognitive ScienceBehavioral SciencesMechatronicsVisuomotor LearningSemiautonomous VehiclesDriver PerformancePerception-action LoopControl EngineeringMotion ControlAerospace EngineeringSensorimotor TransformationEye TrackingMechanical SystemsNeuroscienceRobotics
Semiautonomous driving still requires the driver's control and attention in certain situations. Especially control transitions, i.e. take-over and hand-over situations, are important for safety. Our aim was to study control transitions supported by unimodal (i.e. visual, auditory, or haptic) or multimodal (i.e. visual, auditory and haptic) signals indicating change from manual to autonomous driving and vice versa. The signals were abstract visual blinks, auditory beeps, or haptic vibrations. The task was to take over driving while either looking through the windshield or playing a game. In addition, in half of the control transitions a feedback signal indicated successful control transition. The results showed that a secondary task slowed down the reaction times, but there was a great variation between individuals. In general, the response to auditory signal was slower than to visual, haptic, or multimodal signals. Moreover, users preferred feedback during control transitions but this slowed down the reaction time.
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