A recognition phase Intervention Interface to Improve Naturalness of Autonomous Driving for Distracted Drivers. - Atsushi Kuribayashi; Eijiro Takeuchi; Alexander Carballo; Yoshio Ishiguro; Kazuya Takeda (ITSC, 2021)

A Comparison of Methods for Sharing Recognition Information and Interventions to Assist Recognition in Autonomous Driving System. - Atsushi Kuribayashi; Eijiro Takeuchi; Alexander Carballo; Yoshio Ishiguro; Kazuya Takeda (IV, 2021)

Estimating counterfactual treatment outcomes over time in multi-vehicle simulation. - Keisuke Fujii 001; Koh Takeuchi 001; Atsushi Kuribayashi; Naoya Takeishi; Yoshinobu Kawahara; Kazuya Takeda (SIGSPATIAL/GIS, 2022)

Estimating counterfactual treatment outcomes over time in complex multi-agent scenarios. - Keisuke Fujii 001; Koh Takeuchi 001; Atsushi Kuribayashi; Naoya Takeishi; Yoshinobu Kawahara; Kazuya Takeda (CoRR, 2022)

Uncertainty Aware Task Allocation for Human-Automation Cooperative Recognition in Autonomous Driving Systems. - Atsushi Kuribayashi; Eijiro Takeuchi; Alexander Carballo; Yoshio Ishiguro; Kazuya Takeda (IV, 2023)

Intervention Request Planning with Operator Capability Model for Human-Automation Cooperative Recognition. - Atsushi Kuribayashi; Eijiro Takeuchi; Alexander Carballo; Yoshio Ishiguro; Kazuya Takeda (MOST, 2023)

Estimating Counterfactual Treatment Outcomes Over Time in Complex Multiagent Scenarios. - Keisuke Fujii 001; Koh Takeuchi 001; Atsushi Kuribayashi; Naoya Takeishi; Yoshinobu Kawahara; Kazuya Takeda (IEEE Trans. Neural Networks Learn. Syst., 2025)