Lv, ChenLi, YutongXing, YangHuang, ChaoCao, DongpuZhao, YifanLiu, Yahui2021-02-162021-02-162021-02-12Lv C, Li Y, Xing Y, et al., (2021) Human-machine collaboration for automated driving using an intelligent two-phase haptic interface. Advanced Intelligent Systems, Volume 3, April 2021, Article number 20002292640-4567https://doi.org/10.1002/aisy.202000229https://dspace.lib.cranfield.ac.uk/handle/1826/16350Prior to realizing fully autonomous driving, human intervention is periodically required to guarantee vehicle safety. This poses a new challenge in human–machine interaction, particularly during the control authority transition from automated functionality to a human driver. Herein, this challenge is addressed by proposing an intelligent haptic interface based on a newly developed two‐phase human–machine interaction model. The intelligent haptic torque is applied to the steering wheel and switches its functionality between predictive guidance and haptic assistance according to the varying state and control ability of human drivers. This helps drivers gradually resume manual control during takeover. The developed approach is validated by conducting vehicle experiments with 26 participants. The results suggest that the proposed method effectively enhances the driving state recovery and control performance of human drivers during takeover compared with an existing approach. Thus, this new method further improves the safety and smoothness of human–machine interaction in automated vehicles.enAttribution 4.0 Internationaltakeover controlsintelligent haptic interfaceshuman–machine collaborationsAutomated drivingArticle