Machine-led mood change
A machine is configured to identify a media file that, when played to a user, is likely to modify an emotional or physical state of the user to or towards a target emotional or physical state. The machine accesses play counts that quantify playbacks of media files for the user. The playbacks may be locally performed or detected by the machine from ambient sound. The machine accesses arousal scores of the media files and determines a distribution of the play counts over the arousal scores. The machine uses one or more relative maxima in the distribution in selecting a target arousal score for the user based on contextual data that describes an activity of the user. The machine selects one or more media files based on the target arousal score. The machine may then cause the selected media file to be played to the user.
1. A system comprising:
a sensor in a vehicle to detect a measurement of a user; and
a media selector machine to:
determine a current user state score based on the detected measurement of the user;
select a target user state score for the user based on the current user state score;
access play counts that quantify playback of a plurality of audio media files and a mapping of user state scores to a number of media play counts of the plurality of audio media files;
compare play counts of the plurality of media files to a threshold number of playbacks;
categorize respective audio media files of the plurality of audio media files as: (i) familiar media files when the corresponding play counts satisfy the threshold number of playbacks: and (ii) unfamiliar media files when the corresponding play counts do not satisfy the threshold number of playbacks; and
select, an audio media file from the plurality of audio media files to present to the user based on the number of media play counts of the audio media file, the target user state score, and the audio media file being a familiar media file or an unfamiliar media file.
2. The system of claim 1 , wherein the media selector machine is configured to:
select the selected audio media file based on the user state score of the selected audio media file and the target user state score.
3. The system of claim 2 , wherein the target user state score is based on a driving condition.
4. The system of claim 3 , wherein the sensor is to determine a fluctuation in a force applied on a steering wheel to detect the driving condition.
5. The system of claim 3 , wherein the sensor is configured to determine use of windshield wipers to detect the driving condition.
6. The system of claim 3 , wherein the sensor is configured to determine brake pedal depression frequency to detect the driving condition.
7. The system of claim 3 , wherein the sensor is configured to determine vehicle direction change frequency to detect the driving condition.
8. The system of claim 3 , wherein the sensor is configured to determine use of vehicle climate control to detect the driving condition.
9. The system of claim 1 , wherein the sensor is configured to detect a biometric measurement of the user via a biometric sensor.
10. A non-transitory machine readable storage medium comprising instructions that, when executed, cause at least one machine to at least:
determine a current user state score based on the detected measurement of the user;
select a target user state score for the user based on the current user state score,
access play counts that quantify playback of a plurality of audio media files and a mapping of user state scores to a number of media play counts of the plurality of audio media files;
compare play counts of the plurality of media files to a threshold number of playbacks;
categorize respective audio media files of the plurality of audio media files as: (i) familiar media files when the corresponding play counts satisfy the threshold number of playbacks; and
(ii) unfamiliar media files when the corresponding play counts do not satisfy the threshold number of playbacks; and
select, an audio media file from the plurality of audio media files to present to the user based on the number of media play counts of the audio media file, the target user state score, and the audio media file being a familiar media file or an unfamiliar media file.
11. The non-transitory machine readable storage medium of claim 10 , wherein the instructions, when executed, cause the machine to:
select the selected audio media file based on the user state score of the selected audio media file and the target user state score.
12. The non-transitory machine readable storage medium of claim 11 , wherein the target user state score is based on a driving condition.
13. The non-transitory machine readable storage medium of claim 12 , wherein the driving condition data includes a fluctuation in a force applied on a steering wheel.
14. The non-transitory machine readable storage medium of claim 12 , wherein the driving condition data includes use of windshield wipers.
15. The non-transitory machine readable storage medium of claim 12 , wherein the driving condition data includes brake pedal depression frequency.
16. The non-transitory machine readable storage medium of claim 12 , wherein the driving condition data includes vehicle direction change frequency.
17. The non-transitory machine readable storage medium of claim 12 , wherein the driving condition data includes use of vehicle climate control.
18. The non-transitory machine readable storage medium of claim 10 , wherein the sensor is configured to detect a biometric measurement of the user via a biometric sensor.