Abstract: The present disclosure provides for multifunction system (MFS) control via associating a user with a MFS; outputting an initial audio cue based on an initial status of the MFS via an assistive computing device; receiving command inputs; transmitting the command inputs to the MFS; receiving an updated status from the MFS based on the command inputs; and outputting updated audio cues via the assistive computing device based on the updated status and/or via in response to receiving an association request, identifying a user profile; interfacing with an assistive computing device (having a microphone and a speaker) associated with the user profile; receiving an utterance captured by the microphone; locally processing the utterance according to a natural language processor to identify an action intent; performing the action intent via an MFS; and transmitting, for output via the speaker, a status of the MFS performing the action intent.

Abstract: The present disclosure provides for multifunction system (MFS) control via associating a user with a MFS; outputting an initial audio cue based on an initial status of the MFS via an assistive computing device; receiving command inputs; transmitting the command inputs to the MFS; receiving an updated status from the MFS based on the command inputs; and outputting updated audio cues via the assistive computing device based on the updated status and/or via in response to receiving an association request, identifying a user profile; interfacing with an assistive computing device (having a microphone and a speaker) associated with the user profile; receiving an utterance captured by the microphone; locally processing the utterance according to a natural language processor to identify an action intent; performing the action intent via an MFS; and transmitting, for output via the speaker, a status of the MFS performing the action intent.

Abstract: Systems and methods for prompting users about purchase items based on likelihood of purchase of items are disclosed. According to an aspect, a method may be implemented at a system for conducting purchase transactions. The method includes identifying items selected for purchase. Further, the method includes determining a likelihood of purchase of an item together with one or more of the other items. The method also includes presenting identification of the item based on the determined likelihood of purchase of the item. Further, this method may include updating a model or rules based on shopper feedback as to whether a particular item was correctly identified as an undesired item.