Abstract: In one embodiment, a computer-implemented method includes receiving, through a user interface (UI) of an artificial-reality (AR) design tool, a selection of a configurable interface element to place the AR design tool and the UI into a configure phase to configure an AR effect. The computer-implemented method further includes receiving, through the UI of the AR design tool after the AR design tool and the UI are placed into the configure phase in response to selecting the configurable interface element, instructions to add a voice-command module to the AR effect. The computer-implemented method further includes configuring, while the AR design tool and the UI are placed into the configure phase, one or more parameters of the voice-command module. The computer-implemented method further includes generating the AR effect utilizing a particular voice command at runtime based on configured one or more parameters of the voice-command module.

Abstract: A computer-implemented method, comprising, by an artificial-reality (AR) design tool: receiving, through a user interface (UI) of the AR design tool, instructions to add a voice-command module to an AR effect, the voice-command module having an intent type and at least one slot, the slot associated with one or more entities; establishing, according to instructions received through the UI, a logical connection between the slot and a logic module configured to generate the AR effect depending on a runtime value associated with the slot; and generate, for the AR effect, an executable program configured to: determine that a detected utterance corresponds to the intent type and includes one or more words associated with the slot; select, based on the one or more words, one of the one or more entities as the runtime value for the slot; send the runtime value to the logic module according to the logical connection.

Abstract: In one embodiment, a system includes an automatic speech recognition (ASR) module, a natural-language understanding (NLU) module, a dialog manager, one or more agents, an arbitrator, a delivery system, one or more processors, and a non-transitory memory coupled to the processors comprising instructions executable by the processors, the processors operable when executing the instructions to receive a user input, process the user input using the ASR module, the NLU module, the dialog manager, one or more of the agents, the arbitrator, and the delivery system, and provide a response to the user input.

Abstract: A computer-implemented method, comprising, by an artificial-reality (AR) design tool: receiving, through a user interface (UI) of the AR design tool, instructions to add a voice-command module to an AR effect, the voice-command module having an intent type and at least one slot, the slot associated with one or more entities; establishing, according to instructions received through the UI, a logical connection between the slot and a logic module configured to generate the AR effect depending on a runtime value associated with the slot; and generate, for the AR effect, an executable program configured to: determine that a detected utterance corresponds to the intent type and includes one or more words associated with the slot; select, based on the one or more words, one of the one or more entities as the runtime value for the slot; send the runtime value to the logic module according to the logical connection.

Abstract: An exemplary method to deduplicate redundant usage data for an application includes receiving, from a first source, a first set of usage data for an application. The method further includes receiving, from a second source, a second set of usage data for the application. The method further includes comparing data of the first set of usage data with data of the second set of usage data. In accordance with a determination that a degree of similarity between the first set of usage data and the second set of usage data satisfies a threshold, the method further includes providing a report regarding the application based on the first set of usage data.

Abstract: Automated fleet management systems and associated processes. In one embodiment, a method can be provided. The method can include receiving a service request from one or more customers, providing the one or more customers with a plurality of resources to select from, wherein the plurality of resources is ranked by a pain measure, and based at least in part on a customer selection of at least one resource with a pain measure, assigning at least one resource to the one or more customers.