Abstract: One embodiment of the present disclosure sets forth a technique for determining the location of an object with a haptic transducer device. The technique includes configuring one or more haptic transducer devices to output a ping. The technique further includes configuring the one or more haptic transducer devices to detect a ping echo associated with the ping. The technique further includes identifying a location of an object based on the ping echo. The technique further includes configuring the one or more haptic transducer devices to generate haptic output based on the location of the object.

Abstract: A system includes an internal bidirectional communication system configured for communication with a first person disposed in a vehicle; an internal-facing intelligent virtual assistant communicatively coupled to the internal bidirectional communication system; an external bidirectional communication system configured for communication with a second person disposed outside the vehicle; an external-facing intelligent virtual assistant communicatively coupled to the external bidirectional communication system; and a conversation agent that controls information exchanged between the internal-facing intelligent virtual assistant and the external-facing intelligent virtual assistant.

Abstract: Disclosed embodiments include techniques for detecting an acknowledgement from a driver of a vehicle. A driver state and reaction tracking system determines that a detected condition exceeds a threshold hazard potential with the vehicle. The driver state and reaction tracking system detects a gesture, by a driver, associated with the detected condition. The driver state and reaction tracking system, in response to detecting the gesture, reduces an urgency level for alerting the driver of the detected condition to generate a reduced urgency level. The driver state and reaction tracking system determines whether to issue an alert to the driver based on the reduced urgency level. The driver state and reaction tracking system may transmit an acknowledgement to other systems associated with pedestrians, bicyclists, motorcyclists, semiautonomous vehicles, manually driven vehicles and/or the like.

Abstract: Embodiments of the present disclosure set forth a computer-implemented method comprising determining a first direction of interest associated with a user, receiving a set of audio signals associated with the first direction of interest, determining a first dominant frequency band within the set of audio signals, modifying a first portion of the set of audio signals corresponding to the first dominant frequency band, and outputting the modified set of audio signals.

Abstract: Techniques for communication of autonomous vehicle actions include receiving an intended driving action associated with an autonomous vehicle, determining an intent communication scenario associated with the autonomous vehicle, and based on the intent communication scenario, causing a visualization indicating the intended driving action to be projected onto a roadway.

Abstract: A context-aware safety device includes a wireless transceiver, a memory storing an application, and one or more processors. When executing the application, the one or more processors are configured to determine a context of a safety device, configure an alert based on the determined context, and broadcast the configured alert using the wireless transceiver.

Abstract: Embodiments of the present disclosure sets forth a computer-implemented method comprising acquiring image information associated with an environment, acquiring, from one or more sensors, sensor data associated with a gaze of a user, determining a source of interest based on the image information and the sensor data, processing a set of audio signals associated with the environment based on the image information to identify an audio signal associated with the source of interest, enhancing the audio signal associated with the source of interest relative to other audio signals in the set of audio signals, and outputting the enhanced audio signal associated with the source of interest to the user.

Abstract: Embodiments of the present disclosure set forth a computer-implemented method comprising receiving, from at least one sensor, sensor data associated with an environment, generating, based on the sensor data, a set of lane change data values associated with positions of at least two vehicles relative to a first lane position in the environment, determining, based on the set of lane change data values, a collision risk value associated with the at least two vehicles attempting to occupy the first lane position, and generating, based on the collision risk value, an output signal to a first vehicle included in the at least two vehicles.

Abstract: One or more embodiments include techniques for generating audio for a speaker system worn by a listener. The speaker system analyzes an audio input signal to determine that a sound component of the audio input signal has an apparent location that is at a vertical distance from a listener. The speaker system selects an externally facing speaker included in the speaker system that faces at least partially upward or at least partially downward based on the vertical distance from the listener. The speaker system transmits the sound component to the externally facing speaker.

Abstract: Embodiments of the present disclosure sets forth a computer-implemented method for playing back media content comprising determining, based on sensor data, a first mental state associated with a user accessing media content, and modifying playback of media content based on the first mental state.

Abstract: Embodiments of the present disclosure sets forth a computer-implemented method for playing back media content comprising determining, based on sensor data, a first mental state associated with a user accessing media content, and modifying playback of media content based on the first mental state.

Abstract: Various embodiments include a computer-implemented method comprising receiving an input signal representing an ambient auditory environment of a user, generating, from the input signal, a set of ambient audio signals that includes a first component signal and a second component signal, generating, based on the first component signal, a first inverse signal that is a polar inverse of the first component signal, removing the first component signal from the set of ambient audio signals, generating a first composite signal that includes at least the first inverse signal and the second component signal, and driving an audio output device to produce soundwaves based on the first composite signal.

Abstract: Embodiments of the present disclosure sets forth a computer-implemented method comprising obtaining a starting location and a destination location, determining a plurality of routes from the starting location to the destination location, obtaining affective-cognitive load (ACL) data associated with the plurality of routes, selecting a route included in the plurality of routes based on the ACL data, and transmitting the selected route for output.

Abstract: One embodiment of the present invention sets forth a technique for adjusting a head-mounted audio device. The technique includes determining that the head-mounted audio device has been placed on a head of a user. The technique further includes, in response to determining that the head-mounted audio device has been placed on the head of the user, causing the head-mounted audio device to transition from a first state to a second state. The first state corresponds to a first set of physical parameters associated with the head-mounted audio device, and the second state corresponds to a second set of physical parameters associated with the head-mounted audio device.

Abstract: A method for retrieving information includes detecting a first neural activity of a user, wherein the first neural activity corresponds to a key thought of the user; in response to detecting the first neural activity, generating a search query based on speech occurring prior to detecting the first neural activity; retrieving information based on the search query; and transmitting the information to one or more output devices.

Abstract: Embodiments of the present disclosure sets forth a computer-implemented method comprising receiving, from at least one sensor, sensor data associated with an environment, computing, based on the sensor data, a cognitive load associated with a user within the environment, computing, based on the sensor data, an affective load associated with an emotional state of the user, determining, based on both the cognitive load at the affective load, an affective-cognitive load, determining, based on the affective-cognitive load, a user readiness state associated with the user, and causing one or more actions to occur based on the user readiness state.

Abstract: In various embodiments, while a self-driving model operates a vehicle, a user monitoring subsystem acquires sensor data associated with a user of the vehicle and a vehicle observation subsystem acquires sensor data associated with the vehicle. The user monitoring subsystem computes values for a psychological metric based on the sensor data associated with the user. Based on the values for the psychological metric, a feedback application determines a description of the user over a first time period. The feedback application generates a dataset based on the description and the sensor data associated with the vehicle. Subsequently, a training application performs machine learning operation(s) on the self-driving model based on the dataset to generate a modified self-driving model. Advantageously, the dataset enables the training application to automatically modify the self-driving model to account for the impact different driving actions have on the user.

Abstract: In various embodiments, a driver sensing subsystem computes a characterization of a driver based on physiological attribute(s) of the driver that are measured as the driver operates a vehicle. Subsequently, a driver assessment application uses a confidence level model to estimate a confidence level of the driver based on the characterization of the driver. The driver assessment application then causes driver assistance application(s) to modify at least one functionality of the vehicle based on the confidence level. Advantageously, by enabling the driver assistance application(s) to take into account the confidence level of the driver, the driver assessment application can improve driving safety relative to conventional techniques for implementing driver assistance applications that disregard the confidence levels of drivers.

Abstract: A virtual private assistant (VPA) is configured to analyze various types of input that indicate one or more behaviors associated with a user and to determine the emotional state of the user based on the input. The VPA also determines one or more operations to perform on behalf of the user based on the input and the determined emotional state. The VPA then executes the one or more operations and synthesizes an output based on the emotional state of the user and the one or more operations. The synthesized output includes one or more semantic components and one or more emotional components derived from the emotional state of the user. The VPA observes the behavior of the user in response to the synthesized output and then implements various modifications, based on the observed behavior, to improve the effectiveness of future interactions with the user.

Abstract: One embodiment of the present disclosure sets forth a technique for generating an interface on a resonance surface. The technique includes determining a resonance pattern corresponding to a set of interface elements. The technique further includes configuring one or more haptic output devices to generate haptic output that creates the resonance pattern on the resonance surface.