Personalized digital assistant device and related methods

A non-transitory computer storage media storing computer-usable instructions that, when used by the one or more processors, cause the one or more processors to:

• obtain a command representation that is generated based on speech data received as input via a digital assistant device;
• identify, from a stored repository of action datasets, two or more action datasets that each includes an associated set of command templates determined to correspond to the obtained command representation;
• access profile information associated with the digital assistant device based on the identification of the two or more action datasets;
• and
• based on a determination that the accessed profile information includes a piece of device usage data that corresponds to a particular action dataset of the identified two or more action datasets, cause the digital assistant device to interpret a set of emulated touch operations included in the particular action dataset.

A computerized system for crowdsourcing digital assistant operations to digital assistant devices comprising:

• one or more processors;
• and
• one or more non-transitory computer storage media storing computer-usable instructions that, when used by the one or more processors, cause the one or more processors to:
• receive a command representation from a digital assistant device;
• identify, from a repository of stored action datasets, two or more action datasets that each includes an associated set of command templates determined to correspond to the received command representation;
• access a memory that includes profile information associated with the digital assistant device based on the identification of the two or more action datasets, the associated profile information including device usage data collected by the digital assistant device;
• based on a determination that the profile information includes a piece of collected device usage data that corresponds to a particular action dataset of the identified two or more action datasets, cause the digital assistant device to interpret a set of operations included in the particular action dataset, wherein a set of touch operations is performed based on the interpreted set of operations.