COGNITIVE AND AFFECTIVE HUMAN MACHINE INTERFACE

1 . A method for managing a content placement in a human machine interface (HMI), the method comprising:

receiving sensor data from one or more sensors;

determining, based on the received data, a cognitive state of a user;

determining a timing for delivery of content based on the determined cognitive state of the user such that the content is delivered to the user when a cognitive load of the user is below a predetermined threshold; and

delivering, via the HMI, the content to the user based on the determined timing.

2 . The method of claim 1 , wherein the sensor data comprises at least one of camera data, galvanic skin response (GSR) data, voice analysis data, facial expression analysis data, body language analysis data, eye movement and gaze tracking analysis data, blink rate analysis data, electroencephalographic data, electrodermal activity data, pupillometry data, heart rate data, blood pressure data, respiration rate data, or body temperature data

3 . The method of claim 1 , wherein the cognitive state of the user comprises a current cognitive load of the user.

4 . The method of claim 1 , further comprising:

determining, based on the received data, an affective state of the user; and

determining a timing for delivery of content based on the determined affective state of the user such that the content is delivered to the user when the affective state of the user indicates that the user is receptive;

wherein the affective state of the user comprises an arousal measure and a valance measure.

5 . The method of claim 4 , wherein the affective state of the user indicates that the user is receptive when a distance measure from the affective state of the user to a predefined affective state is below a predetermined threshold, and wherein the predefined affective state comprises a predefined arousal measure and a predefined valance measure, and wherein the distance measure is based on a distance between the affective state of the user and the predefined affective state, and wherein the distance measure comprises an arousal measure and a valance measure.

6 . The method of claim 4 , further comprising selecting the content for delivery to the user based on at least one of the cognitive state of the user or the affective state of the user.

7 . The method of claim 1 , further comprising selecting the content for delivery to the user based on a stimulus response model for the user based on historical user responses to prior content.

8 . The method of claim 1 , further comprising selecting the content for delivery to the user based on a stimulus response database of customers in a predefined customer category that includes the user.

9 . The method of claim 4 , further comprising:

associating the user with a customer category based on a stimulus/response pair had on information presented to the user and at least one of the cognitive state or the affective state of the user in response to the information presented; and

selecting the content for delivery to the user based on the customer category associated with the user.

10 . The method of claim 1 , wherein the content is a first advertisement for a first product, further comprising selecting the first advertisement for delivery to the user based on a previous response of the user to a second advertisement for a second product.

11 . The method of claim 4 , wherein the content is a first content, the method further comprising:

delivering, via the HMI, a second content to the user, wherein the second content comprises at least one of video data, video game data, educational data, or training data; and

storing a stimulus/response pair based on the second content delivered to the user and at least one of the cognitive state or the affective state of the user in response to the second content delivered to the user.

12 . The method of claim 4 , wherein determining the at least one of a cognitive state of a user or an affective state of the user comprises:

analyzing die received sensor data;

plotting an arousal measure and a valence measure on a two-dimensional arousal valence space; and

associating the user with one or more predefined affective states based on the plotting.

13 . The method of claim 1 , wherein the content comprises an advertisement.

14 . A system configured to manage a content placement in a human machine interface (HMI), the system comprising:

a processor configured at least in part to:

receive sensor data from one or more sensors;

determine, based on the received sensor data, a cognitive state of a user;

determine a timing for delivery of content based on the determined cognitive state of the user such that the content is delivered to the user when a cognitive load of the user is below a predetermined threshold; and

deliver, via the HMI, the content to the user based on the determined timing.

15 . The system of claim 14 , wherein the sensor data comprises at least one of camera data, galvanic skin response (GSR) data, voice analysis data, facial expression analysis data, body language analysis data, eye movement and gaze tracking analysis data, blink rate analysis data, electroencephalographic data, electrodermal activity data, pupillometry data, heart rate data, blood pressure data, respiration rate data, or body temperature data.

16 . The system of claim 14 , wherein the cognitive state of the user comprises a current cognitive load of the user.

17 . The system of claim 14 , further comprising:

a processor configured at least in part to:

determine, based on the received sensor data, an affective state of the user;

determine a timing for delivery of content based on the determined affective state of the user such that the content is delivered to the user when the affective state of the user indicates that the user is receptive;

wherein the affective state of the user comprises an arousal measure and a valance measure.

18 . The system of claim 17 , wherein the affective state of the user indicates that the user is receptive when a distance measure from the affective state of the user to a predefined affective state is below a predetermined threshold, and wherein the predefined affective state comprises a predefined arousal measure and a predefined valance measure, and wherein the distance measure is based on a distance between the affective state of the user and the predefined affective state, and wherein the distance measure comprises an arousal measure and a valance measure.

19 . The system of claim 17 , wherein the processor is further configured to select the content for delivery to the user based on at least one of the cognitive state of the user or the affective state of the user.

20 . The system of claim 14 , wherein the processor is further configured to select the content for delivery to the user based on a stimulus response model for the user based on historical user responses to prior content.

21 . The system of claim 14 , wherein the processor is further configured to select the content for delivery to the user based on a stimulus response database of customers in a predefined customer category that includes the user.

22 . The system of claim 17 , wherein the processor is further configured to:

associate the user with a customer category based on a stimulus/response pair based on information presented to the user and at least one of the cognitive state or the affective state of the user in response to the information presented; and

select the content for delivery to the user based on the customer category associated with the user.

23 . The system of claim 14 , wherein the content is a first advertisement for a first product, and wherein the processor is further configured to select the first advertisement for delivery to the user based on a previous response of the user to a second advertisement for a second product.

24 . The system of claim 17 , wherein the content is a first content, and wherein the processor is further configured to:

deliver, via the HMI, content to the user, wherein the content comprises at least one of video data, video game data, educational data, or training data; and

store a stimulus/response pair based on the content delivered to the user and at least one of the cognitive state or the affective state of the user in response to the content delivered to the user.

25 . The system of claim 17 , wherein the processor configured to determine the at least one of a cognitive state of a user or an affective state of the user comprises the processor further configured to:

analyze the received sensor data;

plot an arousal measure and a valence measure on a two-dimensional arousal valence space; and

associate the user with one or more predefined affective states based on the plot.

26 . The system of claim 14 , wherein the content comprises an advertisement.