Guided interaction with a query assistant software using brainwave data

An apparatus for enabling guided interaction with a query assistant software using brainwave data, the apparatus comprising at least one processor and at least one memory including a computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to:

• cause a client device to present a query assistant user interface to a monitored end-user, wherein the query assistant user interface describes:
• (i) a query associated with a plurality of response options, and (ii) for each response option of the plurality of response options, an intended physiological action of a plurality of intended physiological actions;
• subsequent to causing the client device to present the query assistant user interface, receive one or more user monitoring data objects associated with the monitored end-user, wherein the one or more user monitoring data objects comprise one or more user brainwave monitoring data objects;
• process the one or more user monitoring data objects using one or more response designation machine learning models in order to generate a plurality of response designators based on the one or more user monitoring data objects, wherein:
• (i) the plurality of response designators comprise a physiological response designator, and (ii) the physiological response designator describes a selected intended physiological action of the plurality of intended physiological actions that is deemed to be related to the one or more user monitoring data objects;
• determine a user response based on the plurality of response designators;
• and
• cause the client device to update the query assistant user interface based on the user response.

An non-transitory computer storage medium comprising instructions for enabling guided interaction with a query assistant software using brainwave data, the instructions being configured to cause one or more processors to at least perform operations configured to:

• cause a client device to present a query assistant user interface to a monitored end-user, wherein the query assistant user interface describes:
• (i) a query associated with a plurality of response options, and (ii) for each response option of the plurality of response options, an intended physiological action of a plurality of intended physiological actions;
• subsequent to causing the client device to present the query assistant user interface, receive one or more user monitoring data objects associated with the monitored end-user, wherein the one or more user monitoring data objects comprise one or more user brainwave monitoring data objects;
• process the one or more user monitoring data objects using one or more response designation machine learning models in order to generate a plurality of response designators based on the one or more user monitoring data objects, wherein:
• (i) the plurality of response designators comprise a physiological response designator, and (ii) the physiological response designator describes a selected intended physiological action of the plurality of intended physiological actions that is deemed to be related to the one or more user monitoring data objects;
• determine a user response based on the plurality of response designators;
• cause the client device to update the query assistant user interface based on the user response.