Abstract: A computer implemented method includes detecting user interaction with mixed reality displayed content in a mixed reality system. User focus is determined as a function of the user interaction based on the user interaction using a spatial intent model. A length of time for extending voice engagement with the mixed reality system is modified based on the determined user focus. Detecting user interaction with the displayed content may include tracking eye movements to determine objects in the displayed content at which the user is looking and determining a context of a user dialog during the voice engagement.

Abstract: Examples are disclosed that relate to utilizing a facial tracking sensor for controlling computer-generated facial expressions. One example provides a method of controlling computer-generated facial expressions. The method comprises receiving a sensor value acquired via a facial tracking sensor and determining an interpolated value for the sensor value within a value range. The value range corresponding to a blendshape range for a facial expression. The method further comprises determining a blendshape mapping based at least upon the interpolated value, determining expression data based at least upon the blendshape mapping, and providing the expression data to a device.

Abstract: Examples are disclosed that relate to displaying computer-generated facial expressions. One example provides a method for displaying computer-generated facial expressions. The method comprises receiving expression data, and generating one or more facial expressions for an eye region of a user based at least on the expression data. The method further comprises displaying the one or more facial expressions for the eye region on an outward-facing display of a head-mounted device.

Abstract: Examples are disclosed that relate to hand gesture-based emojis. One example provides, on a display device, a method comprising receiving hand tracking data representing a pose of a hand in a coordinate system, based on the hand tracking data, recognizing a hand gesture, and identifying an emoji corresponding to the hand gesture. The method further comprises presenting the emoji on the display device, and sending an instruction to one or more other display devices to present the emoji.

Abstract: Examples are disclosed that relate to utilizing image sensor inputs from different devices having different perspectives in physical space to construct an avatar of a first user in a video stream. The avatar comprises a three-dimensional representation of at least a portion of a face of the first user texture mapped onto a three-dimensional body simulation that follows actual physical movement of the first user. The three-dimensional body simulation of the first user is generated based on image data received from an imaging device and image sensor data received from a head-mounted display device both associated with the first user. The three-dimensional representation of the face of the first user is generated based on the image data received from the imaging device. The resulting video stream is sent, via a communication network, to a display device associated with a second user.

Abstract: A computer implemented method includes detecting user interaction with mixed reality displayed content in a mixed reality system. User focus is determined as a function of the user interaction based on the user interaction using a spatial intent model. A length of time for extending voice engagement with the mixed reality system is modified based on the determined user focus. Detecting user interaction with the displayed content may include tracking eye movements to determine objects in the displayed content at which the user is looking and determining a context of a user dialog during the voice engagement.

Abstract: Examples are disclosed that relate to hand gesture-based emojis. One example provides, on a display device, a method comprising receiving hand tracking data representing a pose of a hand in a coordinate system, based on the hand tracking data, recognizing a hand gesture, and identifying an emoji corresponding to the hand gesture. The method further comprises presenting the emoji on the display device, and sending an instruction to one or more other display devices to present the emoji.

Abstract: One example provides a computing device comprising instructions executable to receive information regarding one or more entities in the scene, to receive eye tracking a plurality of eye tracking samples, each eye tracking sample corresponding to a gaze direction of a user and, based at least on the eye tracking samples, determine a time-dependent attention value for each entity of the one or more entities at different locations in a use environment, the time-dependent attention value determined using a leaky integrator. The instructions are further executable to receive a user input indicating an intent to perform a location-dependent action, associate the user input to with a selected entity based at least upon the time-dependent attention value for each entity, and perform the location-dependent action based at least upon a location of the selected entity.

Abstract: Examples are disclosed that relate to hand gesture-based emojis. One example provides, on a display device, a method comprising receiving hand tracking data representing a pose of a hand in a coordinate system, based on the hand tracking data, recognizing a hand gesture, and identifying an emoji corresponding to the hand gesture. The method further comprises presenting the emoji on the display device, and sending an instruction to one or more other display devices to present the emoji.

Abstract: One example provides a computing device comprising instructions executable to receive information regarding one or more entities in the scene, to receive eye tracking a plurality of eye tracking samples, each eye tracking sample corresponding to a gaze direction of a user and, based at least on the eye tracking samples, determine a time-dependent attention value for each entity of the one or more entities at different locations in a use environment, the time-dependent attention value determined using a leaky integrator. The instructions are further executable to receive a user input indicating an intent to perform a location-dependent action, associate the user input to with a selected entity based at least upon the time-dependent attention value for each entity, and perform the location-dependent action based at least upon a location of the selected entity.

Abstract: Examples are disclosed that relate to utilizing image sensor inputs from different devices having different perspectives in physical space to construct an avatar of a first user in a video stream. The avatar comprises a three-dimensional representation of at least a portion of a face of the first user texture mapped onto a three-dimensional body simulation that follows actual physical movement of the first user. The three-dimensional body simulation of the first user is generated based on image data received from an imaging device and image sensor data received from a head-mounted display device both associated with the first user. The three-dimensional representation of the face of the first user is generated based on the image data received from the imaging device. The resulting video stream is sent, via a communication network, to a display device associated with a second user.

Abstract: Examples are disclosed that relate to hand gesture-based emojis. One example provides, on a display device, a method comprising receiving hand tracking data representing a pose of a hand in a coordinate system, based on the hand tracking data, recognizing a hand gesture, and identifying an emoji corresponding to the hand gesture. The method further comprises presenting the emoji on the display device, and sending an instruction to one or more other display devices to present the emoji.

Abstract: A system for allowing a virtual object to interact with other virtual objects across different spaces within an augmented reality (AR) environment and to transition between the different spaces is described. An AR environment may include a plurality of spaces, each comprising a bounded area or volume within the AR environment. In one example, an AR environment may be associated with a three-dimensional world space and a two-dimensional object space corresponding with a page of a book within the AR environment. A virtual object within the AR environment may be assigned to the object space and transition from the two-dimensional object space to the three-dimensional world space upon the detection of a space transition event. In some cases, a dual representation of the virtual object may be used to detect interactions between the virtual object and other virtual objects in both the world space and the object space.

Abstract: Technology is disclosed herein to help a user navigate through large amounts of content while wearing a see-through, near-eye, mixed reality display device such as a head mounted display (HMD). The user can use a physical object such as a book to navigate through content being presented in the HMD. In one embodiment, a book has markers on the pages that allow the system to organize the content. The book could have real content, but it could be blank other than the markers. As the user flips through the book, the system recognizes the markers and presents content associated with the respective marker in the HMD.

Abstract: Methods for enabling hands-free selection of objects within an augmented reality environment are described. In some embodiments, an object may be selected by an end user of a head-mounted display device (HMD) based on detecting a vestibulo-ocular reflex (VOR) with the end user's eyes while the end user is gazing at the object and performing a particular head movement for selecting the object. The object selected may comprise a real object or a virtual object. The end user may select the object by gazing at the object for a first time period and then performing a particular head movement in which the VOR is detected for one or both of the end user's eyes. In one embodiment, the particular head movement may involve the end user moving their head away from a direction of the object at a particular head speed while gazing at the object.

Abstract: A system for generating and displaying holographic visual aids associated with a story to an end user of a head-mounted display device while the end user is reading the story or perceiving the story being read aloud is described. The story may be embodied within a reading object (e.g., a book) in which words of the story may be displayed to the end user. The holographic visual aids may include a predefined character animation that is synchronized to a portion of the story corresponding with the character being animated. A reading pace of a portion of the story may be used to control the playback speed of the predefined character animation in real-time such that the character is perceived to be lip-syncing the story being read aloud. In some cases, an existing book without predetermined AR tags may be augmented with holographic visual aids.

Abstract: Techniques are provided for rendering, in a see-through, near-eye mixed reality display, a virtual object within a virtual hole, window or cutout. The virtual hole, window or cutout may appear to be within some real world physical object such as a book, table, etc. The virtual object may appear to be just below the surface of the physical object. In a sense, the virtual world could be considered to be a virtual container that provides developers with additional locations for presenting virtual objects. For example, rather than rendering a virtual object, such as a lamp, in a mixed reality display such that appears to sit on top of a real world desk, the virtual object is rendered such that it appears to be located below the surface of the desk.

Abstract: A system for allowing a virtual object to interact with other virtual objects across different spaces within an augmented reality (AR) environment and to transition between the different spaces is described. An AR environment may include a plurality of spaces, each comprising a bounded area or volume within the AR environment. In one example, an AR environment may be associated with a three-dimensional world space and a two-dimensional object space corresponding with a page of a book within the AR environment. A virtual object within the AR environment may be assigned to the object space and transition from the two-dimensional object space to the three-dimensional world space upon the detection of a space transition event. In some cases, a dual representation of the virtual object may be used to detect interactions between the virtual object and other virtual objects in both the world space and the object space.

Abstract: A see through display apparatus includes a see-through, head mounted display and sensors on the display which detect audible and visual data in a field of view of the apparatus. A processor cooperates with the display to provide information to a wearer of the device using a behavior-based real object mapping system. At least a global zone and an egocentric behavioral zone relative to the apparatus are established, and real objects assigned behaviors that are mapped to the respective zones occupied by the object. The behaviors assigned to the objects can be used by applications that provide services to the wearer, using the behaviors as the foundation for evaluation of the type of feedback to provide in the apparatus.

Abstract: A system for generating one or more enhanced audio signals such that one or more sound levels corresponding with sounds received from one or more sources of sound within an environment may be dynamically adjusted based on contextual information is described. The one or more enhanced audio signals may be generated by a head-mounted display device (HMD) worn by an end user within the environment and outputted to earphones associated with the HMD such that the end user may listen to the one or more enhanced audio signals in real-time. In some cases, each of the one or more sources of sound may correspond with a priority level. The priority level may be dynamically assigned depending on whether the end user of the HMD is focusing on a particular source of sound or has specified a predetermined level of importance corresponding with the particular source of sound.