Information processing device and movement device to perform safe manual driving based on driver and environmental data

A movement device, comprising:

• a first sensor configured to acquire driver information of the movement device;
• a second sensor configured to acquire environmental information of the movement device, wherein the environmental information includes a state of a traffic light on a travelling route of the movement device;
• and
• circuitry configured to:
• acquire the driver information and the environmental information;
• generate a machine learning model based on the driver information and the environmental information;
• calculate, based on the machine learning model, a manual driving recovery available time, wherein
• the manual driving recovery available time includes a time required for a driver of the movement device in an automatic driving mode to start driving of the movement device in a manual driving mode, and
• in the machine learning model, the driver information and the environmental information are associated with the manual driving recovery available time;
• and
• control generation of a prompt for the driver to switch the movement device from the automatic driving mode to the manual driving mode, wherein the generation of the prompt is at a notice time specified by the manual driving recovery available time.

An information processing method, comprising:

• in an information processing device:
• acquiring driver information and environmental information, wherein
• the environmental information includes a state of a traffic light which is on a travelling route of a vehicle;
• generating a machine learning model based on the driver information and the environmental information;
• calculating, using the machine learning model, a manual driving recovery available time, wherein
• the manual driving recovery available time includes a time required for a driver of the vehicle in an automatic driving mode to start driving of the vehicle in a manual driving mode, and
• in the machine learning model, the driver information and the environmental information are associated with the manual driving recovery available time;
• and
• controlling generation of a prompt for the driver to switch the vehicle from the automatic driving mode to the manual driving mode, wherein the generation of the prompt is at a notice time specified by the manual driving recovery available time.

An information processing method, comprising:

• in a movement device:
• acquiring driver information of the movement device and environmental information of the movement device, wherein
• the environmental information includes a state of a traffic light which is on a travelling route of the movement device;
• generating a machine learning model based on the driver information and the environmental information;
• calculating, using the machine learning model, a manual driving recovery available time, wherein
• the manual driving recovery available time includes a time required for a driver of the movement device in an automatic driving mode to start driving of the movement device in a manual driving mode, and
• in the machine learning model, the driver information and the environmental information are associated with the manual driving recovery available time;
• and
• controlling generation of a prompt for the driver to switch the movement device from the automatic driving mode to the manual driving mode, wherein the generation of the prompt is at a notice time specified by the manual driving recovery available time.

A non-transitory computer readable medium having stored thereon computer executable instructions, which when executed by a computer, cause the computer to execute operations, the operations comprising:

• acquiring driver information and environmental information, wherein
• the environmental information includes a state of a traffic light which is on a travelling route of a vehicle;
• generating a machine learning model based on the driver information and the environmental information;
• calculating, using the machine learning model, a manual driving recovery available time, wherein
• the manual driving recovery available time includes a time required for a driver of the vehicle in an automatic driving mode to start driving of the vehicle in a manual driving mode, and
• in the machine learning model, the driver information and the environmental information are associated with the manual driving recovery available time;
• and
• controlling generation of a prompt for the driver to switch the vehicle from the automatic driving mode to the manual driving mode, wherein the generation of the prompt is at a notice time specified by the manual driving recovery available time.