Patent ID: 11900323
Assignee: ASANA, INC.
Field: Audio-visual technology (Electrical engineering)
Classification: CPC G  H | IPC G  H

Claim 0:
1. A system configured to generate work unit records for units of work managed within a collaboration environment based on video dictation, the system comprising:
one or more physical processors configured by machine-readable instructions to:
manage environment state information maintaining a collaboration environment, the collaboration environment being configured to facilitate interaction by users with the collaboration environment, the environment state information including user records and work unit records, the user records describing preferences of the users, the work unit records describing units of work assigned, created, and/or managed within the collaboration environment, the user records including a first user record associated with a first user accessing the collaboration environment;
effectuate presentation of instances of a user interface through which the users initiate video dictation sessions, the user interface including one or more user interface elements, wherein an individual user interface element is configured to be selected by the users to cause the video dictation sessions to be initiated, such that a first instance of the user interface is presented on a computing platform associated with the first user;
obtain user input information characterizing user input into the instances of the user interface, wherein the user input includes selection of the individual user interface element causing user-initiation of the video dictation sessions by individual users of the collaboration environment;
identify the individual users who selected the individual user interface element to initiate individual video dictation sessions, including identify the first user has selected the individual user interface element to initiate a first video dictation session;
obtain individual user records associated with the individual users who selected the individual user interface element to initiate the individual video dictation sessions, such that responsive to identifying the first user, obtain the first user record associated with the first user;
responsive to the user-initiation of the video dictation sessions through the selection of the individual user interface element, obtain video information characterizing content of the video dictation sessions, wherein the content of the video dictation sessions comprises visual content and audio content, the visual content including visual representations of the individual users during the individual video dictation sessions, and the audio content including speech of the individual users during the individual video dictation sessions, such that responsive to the selection of the individual user interface element by the first user causing the user-initiation of the first video dictation session, obtain first video information characterizing content of the first video dictation session;
identify, based on the video information, one or more recommended units of work that should be generated, and present the one or more recommended units of work within one or more prompts displayed during the video dictation sessions, such that a first recommended unit of work is identified based on the first video information and presented in a first prompt displayed during the first video dictation session;
train one or more machine learning models to generate one or more trained machine learning models, wherein the one or more trained machine learning models are configured to output the preferences of the users, wherein the one or more machine learning models are trained based on training inputs that are specific to the individual users so that the one or more trained machine learning models reflect individualized training for the individual users;
store the output of the one or more trained machine learning models in the individual user records of the individual users, such that the first user record for the first user includes a first set of preferences of the first user derived from the individualized training of the one or more machine learning models based on a first set of training inputs specific to the first user, the first set of preferences including an automated action to carry out in response to occurrence of a trigger event during the first video dictation session, wherein the automated action includes one or more of generation of a project record for a project, generation of a task record for a task, assignment of an individual work unit record to a particular user, or attachment of one or more particular documents to the individual work unit record; and
responsive to detection of completion of the video dictation sessions:
generate one or more work unit records for one or more units of work based on i) the individual user records of the individual users who initiated the individual video dictation sessions, ii) the content of the individual video dictation sessions, and iii) whether individual recommended units of work have been accepted or denied, the one or more work unit records being generated by storing information defining the one or more units of work as part of the environment state information, wherein a first work unit record for a first unit of work is generated based on the first set of preferences of the first user included in the first user record, the content of the first video dictation session, and whether the first user accepted or denied the first recommended unit of work; and
store the video information as part of the environment state information such that the video information is included in the one or more work unit records generated for the one or more units of work, such that the first video information is stored in the first work unit record.