Mood sensitive, voice-enabled medical condition coaching for patients
AssigneeThe Board of Trustees of the University of Illinois
InventorsOlusola Ajilore, Alex Leow, Philip Yu, Ben Gerber, Faraz Hussain, Jun Ma
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Abstract
A method includes receiving voice data from a voice-enabled device associated with a user, the voice data indicating a request for an output, determining from the voice data a current mood and/or cognitive state of the user, determining an output in response to the request, and adjusting the output and/or the form of the output according to the determined current mood and/or cognitive state of the user.
Claims22
1-67. (canceled)
A method comprising:
- receiving metadata associated with a user's interaction with a mobile device;
- analyzing the received metadata by comparing the received metadata to previously-received metadata;
- determining, from the received metadata and the previously-received metadata, a current mood and/or cognitive state of the user;
- outputting the current mood and/or cognitive state of the user.
A method according to claim 6, wherein the voice metadata is selected from the group consisting of:
- speech volume, speech speed, presence of slurring, degree of slurring, speech clarity, timbre of the voice, vocal inflections, and vocal pitch.
A method comprising:
- receiving from a voice-enabled device associated with a user, voice data, the voice data indicating a request for an output;
- determining from the voice data a current mood and/or cognitive state of the user;
- determining an output in response to the request;
- and
- adjusting a content of the output and/or a form of the output according to the determined current mood and/or cognitive state of the user.
A method comprising:
- receiving data representative of an input from a user;
- processing the data to determine one or more sentiment features for the data;
- processing the data to determine one or more request characteristics corresponding to the data;
- processing the one or more sentiment features to (1) identify a domain-specific service module indicated by the one or more sentiment features, (2) identify a request indicated by the one or more sentiment features, and (3) output a structure representation of the identified request;
- transmitting to the identified domain-specific service module the structured representation of the identified request;
- transmitting to the identified domain-specific service module the identified request characteristics;
- determining, in the domain-specific service module, from the one or more request characteristics and/or the identified request, one or more real-time user characteristics;
- determining in the domain-specific service module a response to the request indicated by the one or more sentiment features based on the structured representation of the identified request and the identified real-time user characteristics, the response represented as text;
- processing the response to output a speech representation of the text response;
- and
- transmitting the speech representation to a voice-enabled device.
Dependencies are inferred from the claim text.