Harman International Industries, Inc.

Neeka Mansourian

Joseph Verbeke

Stefan J Marti

Adam Boulanger

Sven Kratz

Evgeny Burmistrov

Priya Seshadri

Joshua Sweers

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.

Affective-cognitive load based digital assistant

In various embodiments, a communication application selectively modifies sounds associated with a selected location or entity in one or more images. In operation, the communication application receives an image of an environment of a first device and an audio signal associated with the environment. The communication application receives first user input selecting a location in the image, and modifies a first sound included in the audio signal based on the selected location in the image, where at least a portion of the audio signal is unmodified.

Selective sound modification for video communication

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.

Affective-cognitive load based navigation

A system for interactions with an autonomous vehicle includes a proprioceptive device; and a controller. The controller is configured to: detect a first condition external to the autonomous vehicle; generate a first proprioceptive output in response to the first condition, the first proprioceptive output changing a shape of the proprioceptive device; receive a first input force from the proprioceptive device; determine a first user input based on the first input force; and, based on the first user input, cause the autonomous vehicle to perform a navigation action.

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El Dorado Hills, CA, United States of America

Neeka Mansourian