Abstract: A change in the emotional state of a user of a device is detected, and in response to this change a reason for the change in user emotional state is determined. This determination is made based on both the current user emotional state and context data for the device or user. The device then adapts to the user based on the current emotional state and the reason for the change in user emotional state. This adaptation of the computing device refers to an alteration of the operation of the computing device with a goal of increasing the likelihood of the user being in a good emotional state (e.g., happy, relaxed) and reducing the likelihood of the user being in a bad emotional state (e.g., sad, angry).

Abstract: Techniques for artificial intelligence (AI) modules for computation tasks are described, and may be implemented to enable multiple AI modules to be aggregated to form an execution structure (e.g., an execution chain) for performing a computation task. Generally, the described techniques aggregate AI modules based on their respective functions to perform an overall computation task.

Abstract: A determination is made as to when two computing devices are in the presence of each other, also referred to as the two computing devices being colocated. This determination is made based on wireless location signals received at the two computing devices as well as environment data sensed by the two computing devices. The computing devices determine whether they are in the presence of each other and enable multi-device engagement in response to determining that the two computing devices are in the presence of each other.

Abstract: In aspects of user authentication facilitated by an additional device, a computing device can maintain authentication data usable to authenticate a user to use the computing device. The computing device implements an authentication control module that can determine an additional device is equipped to facilitate authentication of a user to the computing device. The authentication control module can then receive additional authentication data associated with the user from the additional device, and authenticate the user to use the computing device based in part on the additional authentication data received from the additional device.

Abstract: A computing device supports the use of multiple different authenticators for a user to unlock his or her computing device and access his or her user account. An authenticator refers to something that the user knows or has that can be compared to known authentication data in order to authenticate the user. In one or more embodiments, the behavior of the computing device varies for different authenticators by displaying user-selectable content in different visibility modes based on which authenticator is used to authenticate the user. In one content visibility mode content is fully visible on the computing device display screen, whereas in another content visibility mode content visibility on the computing device display screen is reduced. Additionally or alternatively, the behavior of the computing device varies for different authenticators by using different authenticators for different contexts of the computing device.

Abstract: Techniques for authentication for key access are described. In the described techniques, interaction between a client device and an assistant device is utilized to authenticate the client device for access to protected functionality and/or content. For instance, proximity between the client device and the assistant device, and physical authentication of a user with the assistant device, are leveraged for authenticating the client device for access to the protected functionality and/or content.

Abstract: Content visibility on a computing device is controlled based at least in part on the current location of the computing device. When the current location is a safe location for making user-selectable content visible on a display screen of the computing device and the computing device is unlocked, the computing device operates in a full content visibility mode. In the full content visibility mode all user-selectable content on the computing device is accessible to a user of the computing device. When the current location is not a safe location for making user-selectable content visible on the display screen, the computing device operates in a reduced content visibility mode. In the reduced content visibility mode content visibility on the display screen is reduced, such as by limiting which applications (e.g., application icons or widgets) are displayed or otherwise accessible to the user.

Abstract: A determination is made as to when two computing devices are in the presence of each other, also referred to as the two computing devices being colocated. This determination is made based on wireless location signals received at the two computing devices as well as environment data sensed by the two computing devices. The computing devices determine whether they are in the presence of each other and enable multi-device engagement in response to determining that the two computing devices are in the presence of each other.

Abstract: In aspects of shareable devices, a shareable device has a memory to maintain identifiable information usable to identify users of the shareable device for subsequent reference. The shareable device implements a device sharing module that can receive the identifiable information about a user who initiates using the shareable device, and initiate an interactive session allowing a user to access the shareable device responsive to receiving the identifiable information about the user. The device sharing module can then communicate the identifiable information to an additional device that maintains the identifiable information for subsequent reference, and subsequently end the interactive session, thereby enabling the shareable device for use by a subsequent user. The device sharing module can also receive a disable command from the additional device to initiate disabling the shareable device.

Abstract: A determination is made as to when two computing devices are in the presence of each other, also referred to as the two computing devices being colocated. This determination is made based on wireless location signals received at the two computing devices as well as environment data sensed by the two computing devices. The computing devices determine whether they are in the presence of each other and enable multi-device engagement in response to determining that the two computing devices are in the presence of each other.

Abstract: A method and apparatus for selecting between multiple gesture recognition systems includes an electronic device determining a context of operation for the electronic device that affects a gesture recognition function performed by the electronic device. The electronic device also selects, based on the context of operation, one of a plurality of gesture recognition systems in the electronic device as an active gesture recognition system for receiving gesturing input to perform the gesture recognition function, wherein the plurality of gesture recognition systems comprises an image-based gesture recognition system and a non-image-based gesture recognition system.

Abstract: Techniques for artificial intelligence (AI) modules for computation tasks are described, and may be implemented to enable multiple AI modules to be aggregated to form an execution structure (e.g., an execution chain) for performing a computation task. Generally, the described techniques aggregate AI modules based on their respective functions to perform an overall computation task.

Abstract: A user can customize (also referred to as train) an AI module, which includes any of a variety of machine learning systems. The AI module can be used by the device on which the AI module is trained or can be communicated to other devices in the same environment (e.g., the same home). The AI module can also be communicated in a secure and private manner to a device in another environment (e.g., another user's home). To do so, the AI module is encrypted and added to a blockchain, and the blockchain is communicated via a peer-to-peer network to the device in the other environment. The recipient of the blockchain can then decrypt the AI module and use the AI module in that other environment, including further training the AI module for use in that other environment.

Abstract: A change in the emotional state of a user of a device is detected, and in response to this change a reason for the change in user emotional state is determined. This determination is made based on both the current user emotional state and context data for the device or user. The device then adapts to the user based on the current emotional state and the reason for the change in user emotional state. This adaptation of the computing device refers to an alteration of the operation of the computing device with a goal of increasing the likelihood of the user being in a good emotional state (e.g., happy, relaxed) and reducing the likelihood of the user being in a bad emotional state (e.g., sad, angry).

Abstract: Techniques for subtask assignment for an artificial intelligence (AI) task are described, and may be implemented to leverage a local set of devices to distribute portions of an AI task between the devices. Generally, the described techniques enable AI task allocation based on a variety of factors, such as device capabilities, device availability, task complexity, and so forth.

Abstract: A determination is made as to when two computing devices are in the presence of each other, also referred to as the two computing devices being colocated. This determination is made based on wireless location signals received at the two computing devices as well as environment data sensed by the two computing devices. The computing devices determine whether they are in the presence of each other and enable multi-device engagement in response to determining that the two computing devices are in the presence of each other.

Abstract: A wearable device enables access to VPN endpoint devices for secure data communication and privacy for a computing device. The wearable device stores VPN configuration information for a user, which includes the user's VPN credentials for each of one or more remote VPN endpoint devices. When the wearable device is in close proximity to a computing device and is being worn by a user that is authenticated to at least one of the wearable device and the computing device, the wearable device communicates the configuration information to the computing device. The computing device can then use this VPN configuration information to establish a VPN connection to a VPN endpoint device.

Abstract: In aspects of shareable devices, a shareable device implements a device sharing module that can maintain an interactive session of a user on the shareable device. The shareable device can detect that the user has moved away from the shareable device during the interactive session, and obscure personalized content associated with the user who has moved away from the shareable device. The device sharing module is implemented to detect, without user input, a user condition indicative of an intent to end or share the interactive session. The device sharing module can determine a status of an executing application associated with the interactive session of the user. The device sharing module can then end or share the interactive session based on the detected user condition and the determined status of the application.

Abstract: Content visibility on a computing device is controlled based at least in part on the proximity of a wearable device to the computing device. When the wearable device is in close proximity to the computing device and the computing device is unlocked, the computing device operates in a full content visibility mode. In the full content visibility mode all user-selectable content on the computing device is displayed. When the wearable device is not in close proximity to the computing device and the computing device is unlocked, the computing device operates in a reduced content visibility mode. In the reduced content visibility mode content visibility on the computing device screen is reduced, such as by limiting which applications (e.g., application icons or widgets) are displayed.

Abstract: A wearable device enables access to VPN endpoint devices for secure data communication and privacy for a computing device. The wearable device stores VPN configuration information for a user, which includes the user's VPN credentials for each of one or more remote VPN endpoint devices. When the wearable device is in close proximity to a computing device and is being worn by a user that is authenticated to at least one of the wearable device and the computing device, the wearable device communicates the configuration information to the computing device. The computing device can then use this VPN configuration information to establish a VPN connection to a VPN endpoint device.