Jan Luca Kastle, Bani Anvari, Jan Peters, Jakub Kro, Helge Wurdemann
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引用次数: 0
Abstract
We are currently experiencing a paradigm shift towards fully automated vehicles (AVs). On the way towards fully AVs, we will experience an increase in numbers of automated vehicles on our roads, requiring the human driver to take back control in situations, which cannot be handled by the vehicle. These human-robot take-over requests (TORs) can lead to safety risks, in particular in scenarios when the driver fails to understand the TOR and, hence, lacks situational awareness (SA). In this paper, the correlation between reaction time, multimodal feedback, informing the human driver of a transition in automation level, and success of transfer of control has been investigated. Nineteen human drivers have participated in experiments in a full-sized driving simulator: First, the driver was engaged in a secondary reading task while the car was in self-driving mode. Then, a TOR indicated to the driver to take back control. Seven different feedback modalities for the TORs have been created consisting of an audio chime, a visual cue or a static mechano-tactile haptic feedback, or a combination of these. The mechano-tactile feedback is hereby given through soft pneumatic actuators embedded into a novel soft robotic driver's seat. After the driver experienced the TOR, they were given seven seconds to regain SA, retake the driving task and react to a road incident ahead. Based on the results, it can be concluded that reaction times below 2.6 seconds and above 6 seconds result in an unsuccessful transfer of control. Additionally, we have found that haptic feedback results in a timely and safe transfer of control within a shorter time frame, when added to currently commercially available auditory and visual feedback.
期刊介绍：
IEEE Transactions on Haptics (ToH) is a scholarly archival journal that addresses the science, technology, and applications associated with information acquisition and object manipulation through touch. Haptic interactions relevant to this journal include all aspects of manual exploration and manipulation of objects by humans, machines and interactions between the two, performed in real, virtual, teleoperated or networked environments. Research areas of relevance to this publication include, but are not limited to, the following topics: Human haptic and multi-sensory perception and action, Aspects of motor control that explicitly pertain to human haptics, Haptic interactions via passive or active tools and machines, Devices that sense, enable, or create haptic interactions locally or at a distance, Haptic rendering and its association with graphic and auditory rendering in virtual reality, Algorithms, controls, and dynamics of haptic devices, users, and interactions between the two, Human-machine performance and safety with haptic feedback, Haptics in the context of human-computer interactions, Systems and networks using haptic devices and interactions, including multi-modal feedback, Application of the above, for example in areas such as education, rehabilitation, medicine, computer-aided design, skills training, computer games, driver controls, simulation, and visualization.
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