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2018
Conference Paper
Titel
Automotive UI for controllability and safe transitions of control
Abstract
Highly automated vehicles require users to take over control when they reach the limits of the automation. These control transitions can lead to hazardous accidents if the human and automation do not have a consistent mental model of the abilities, authorities, and responsibilities of each other. In this workshop, we aim to apply existing knowledge to identify issues in control transitions in co-operative human-machine systems and propose solutions for them. Concrete focus points concern controllability, driving mode awareness, interaction design problems such as conveying the state of driver, automation, and vehicle, and evaluation methods.