A system for providing pilot or controller support in a reduced crew transport environment may include a set of sensors configured to collect a set of measurements of a set of physiological signals of a user. The system may further include an emotional analyzer model usable to generate at least one emotional parameter value corresponding to the set of measurements. The system may also include a natural language processing model usable to generate a natural language statement corresponding to the at least one emotional parameter value for output to the pilot.

To provide an expression-variable robot 100 capable of stably showing a variety of expressions by a simple configuration an expression-variable robot 100 comprising a simulated face 10 and an eyebrow body 40 that is disposed on the surface of the simulated face 10, the eyebrow body 40 having flexibility, and the expression-variable robot including a first support part 50 that supports an outer end 41 of the eyebrow body 40, a second support part 60 that supports an inner end 42 of the eyebrow body 40, and drive parts 81, 82 that rotate the outer end 41.

A more endearing robot includes an operation unit that causes the robot to operate, a viewing direction determiner that determines whether a viewing direction of a predetermined target is toward the robot or not, and an operation controller that controls the operation unit based on a result of determination by the viewing direction determiner.

The present teaching relates to method, system, medium, and implementations for configuring an animatronic device. Information about a user is obtained for whom an animatronic device is to be configured to carry out a dialogue with the user. One or more preferences of the user are identified from the obtained information and are used to select, from the plurality of selectable profiles, a first selected profile, which specifies parameters to be used to control a manner by which the animatronic device is to communicate with the user. The animatronic device is then configured based on the first selected profile for carrying out the dialogue in the manner specified.

The present teaching relates to method, system, medium, and implementations for configuring an animatronic device. Information is received about performance of a user exhibited in a dialogue between the user and an animatronic device which conducts the dialogue with the user in accordance with a configuration. The effectiveness of the configuration with respect to the user is assessed based on the information about the performance of the user and is used for machine learning at least one model, which is then used to adjust the configuration to generate an updated configuration for the animatronic device to use to continue the dialogue.

Systems and methods for human-machine interaction. An adaptive behavioral control system of a human-machine interaction system controls an interaction sub-system to perform a plurality of actions for a first action type in accordance with a computer-behavioral policy, each action being a different alternative action for the action type. The adaptive behavioral control system detects a human reaction of an interaction participant to the performance of each action of the first action type from data received from a human reaction detection sub-system. The adaptive behavioral control system stores information indicating each detected human reaction in association with information identifying the associated action. In a case where stored information indicating detected human reactions for the first action type satisfy an update condition, the adaptive behavioral control system updates the computer-behavioral policy for the first action type.

A virtual robot image presentation method and an apparatus are provided to improve virtual robot utilization and user experience. In this method, an electronic device generates a first virtual robot image, and presents the first virtual robot image. The first virtual robot image is determined by the electronic device based on scene information. The scene information includes at least one piece of information in first information and second information, the first information is used to represent a current time attribute, and the second information is used to represent a type of an application currently running in the electronic device. According to the foregoing method, in a human-machine interaction process, virtual robot images can be richer and more vivid, so that user experience can be better, thereby improving virtual robot utilization of a user.

Disclosed herein is a robot including an output interface including at least one of a display or a speaker, and a processor configured to acquire output data of a predetermined playback time point of content output via the robot or an external device, recognize a first emotion corresponding to the acquired output data, and control the output interface to output an expression based on the recognized first emotion.

The present teaching relates to method, system, medium, and implementations for configuring an animatronic device. Information is received about performance of a user exhibited in a dialogue between the user and an animatronic device which conducts the dialogue with the user in accordance with a configuration. The effectiveness of the configuration with respect to the user is assessed based on the information about the performance of the user and is used for machine learning at least one model, which is then used to adjust the configuration to generate an updated configuration for the animatronic device to use to continue the dialogue.

Embodiments of the present invention provide a human-machine interaction method, including: detecting and collecting, by a robot, sensing information of a companion object of a target object and emotion information of the target object that is obtained when the target object interacts with the companion object; extracting, by the robot, an emotion feature quantity based on the emotion information, determining, based on the emotion feature quantity, an emotional pattern used by the target object to interact with the companion object, determining, based on the emotional pattern, a degree of interest of the target object in the companion object, extracting behavioral data of the companion object from the sensing information based on the degree of interest, and screening the behavioral data to obtain simulated object data; and simulating, by the robot, the companion object based on the simulated object data.