Message delivery and presentation methods, systems and devices using receptivity
A method, system or device includes one or more sensors for measuring a multimodal metric, a memory having computer instructions, and one or more processors operatively coupled to the one or more sensors and the memory. The one or more processors when executing computer instructions cause the one or more processors to perform operations such as analyzing the multimodal metric to provide an analysis and determine a receptivity to a message, and delivering or receiving or presenting the message at a period of time when the receptivity is over a predetermined threshold based on the analysis. Receptivity to a message can be measured in many different ways including the use of the one or more sensors such one or more microphones used for determining a cognitive load of a recipient.
1. A system, comprising:
one or more sensors for measuring a multimodal metric;
a memory having computer instructions; and
one or more processors operatively coupled to the one or more sensors and the memory, the one or more processors when executing the computer instructions cause the one or more processors to perform operations comprising:
analyzing the multimodal metric to provide an analysis;
capturing and analyzing speech to determine a keyword, a meaning, a sentiment, a mood, or a combination thereof, associated with the speech;
determining a receptivity to a message based on the analysis of the multimodal metric and based on the analyzed speech, wherein the receptivity to the message is determined based on a measured intent to behave or act upon the message;
determining an impact of the message on a user based on the multimodal metric;
delivering or receiving or presenting the message at a period of time when the receptivity is over a predetermined threshold based on the analysis, wherein the receptivity is determined to be over the predetermined threshold based on both a contextual load and a cognitive load associated with the user, wherein the message is delivered, received, or presented using a mode or format that is based on the impact; and
wherein the one or more processors form an inference engine that provides a confidence level of a receptiveness of a user to receive a presentation of a message of a particular format at a particular time based on contexts inferred from the multimodal metrics and further tracks and correlates the receptiveness based on subsequent multimodal inputs to update the confidence level.
2. The system of claim 1 , wherein the one or more sensors comprise at least a microphone used for determining the cognitive load.
3. The system of claim 1 , wherein the one or more sensors comprises at least a microphone used for determining an existence of speech and for determining a context or the cognitive load.
4. The system of claim 1 , wherein the one or more sensors comprises at least a microphone and a biometric sensor for determining the cognitive load.
5. The system of claim 1 , wherein the one or more sensors comprises at least an acoustic sensor that operates cooperatively with at least one of a calendar, a texting memory, an email memory, a voicemail memory, or a location sensor to determine a state of being or the cognitive load of a message recipient.
6. The system of claim 1 , wherein the one or more processors further perform the operations of tracking responses to the receipt of the message and ranking the receptivity of a type or a characteristic of the message.
7. The system of claim 6 , wherein the type of message comprises at least one of a visual message, a audio message, an audio-visual message, or a textual message and a characteristic of the message comprises at least one of a gender, a color, a volume, a frequency, a high motion, a low motion, a static image, or a genre.
8. The system of claim 1 , wherein the one or more processors form an inference engine that provides a confidence level of a receptiveness of a user to receive a presentation of a message of a particular format at a particular time based on contexts inferred from the multimodal metrics.
9. A system, comprising:
one or more sensors for accessing sensor data including at least a microphone used for determining a cognitive load;
a memory having computer instructions; and
one or more processors operatively coupled to the one or more sensors and the memory, the one or more processors when executing the computer instructions cause the one or more processors to perform operations comprising:
analyzing the sensor data to provide an analysis;
capturing and analyzing speech to determine a keyword, a meaning, a sentiment, a mood, or a combination thereof, associated with the speech;
determining a receptivity to a message based on the analysis of the sensor data and based on the analyzed speech, wherein the receptivity to the message is determined based on a measured intent to behave or act upon the message;
determining an impact of the message on a user based on a multimodal metric measured by the one or more sensors;
delivering or receiving or presenting the message at a period of time when the receptivity is over a predetermined threshold based on the analysis, wherein the receptivity is determined to be over the predetermined threshold based on both a contextual load and a cognitive load associated with the user, wherein the message is delivered, received, or presented using a mode or format that is based on the impact; and
wherein the one or more processors form an inference engine that provides a confidence level of a receptiveness of a user to receive a presentation of a message of a particular format at a particular time based on contexts inferred from the multimodal metrics and further tracks and correlates the receptiveness based on subsequent multimodal inputs to update the confidence level.
10. The system of claim 9 , wherein the one or more processors further analyze at least one of a status of a current task, a relationship of a sender of the message to the recipient, a relevancy of the message sent to the recipient to the current task, a channel which the message is sent to the recipient, an effect of the message to the current task, or a social environment of the recipient.
11. The system of claim 9 , wherein the cognitive load is based on one or more factors comprising mental demand, physical demand, temporal demand, performance, effort or frustration of a current activity.
12. The system of claim 9 , wherein the one or more processors further analyze the message for content quality factors in relation to the recipient including one or more of interest, entertainment, relevance, and actionability.
13. The system of claim 9 , wherein the one or more processors further analyze a current activity of the recipient to determine at least one of a status of a primary task, a status of a sub-task, or a physical or cognitive load of a particular primary task or sub-task.
14. The system of claim 9 , wherein the one or sensors comprises at least one or more microphones and at least one or more biometric sensors.