Adobe, Inc.

Salesforce Com, Inc.

Arjun Srinivasan

Lubomira A Dontcheva

Seth John Walker

Eytan Adar

Venkata Rama Pavan Kumar Rangavajhala

A framework for generating and presenting verbal command suggestions to facilitate discoverability of commands capable of being understood and support users exploring available commands. A target associated with a direct-manipulation input is received from a user via a multimodal user interface. A set of operations relevant to the target is selected and verbal command suggestions relevant to the selected set of operations and the determined target are generated. At least a portion of the generated verbal command suggestions is provided for presentation in association with the multimodal user interface in one of three interface variants: one that presents command suggestions as a list, one that presents command suggestions using contextual overlay windows, and one that presents command suggestions embedded within the interface. Each of the proposed interface variants facilitates user awareness of verbal commands that are capable of being executed and teaches users how available verbal commands can be invoked.

Facilitating discovery of verbal commands using multimodal interfaces

An infrastructure monitor receives an indication of a fault on a first host computer of a plurality of host computers, wherein each of the plurality of host computers is associated with a different subset of a plurality of queues, and wherein each of the plurality of queues are serviced by a different subset of the plurality of host computers. The monitor identifies a first subset of the plurality of queues associated with the first host computer and determines a workload present on the first subset of the plurality of queues. The monitor further generates a single visualization to provide the indication of the fault on the first host computer, the first subset of the plurality of queues impacted by the fault, and the workload present on the first subset of the plurality of queues and causes presentation of the single visualization.

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Atlanta, GA, United States of America

Arjun Srinivasan