ADAPTIVE INTERACTIVE MEDIA METHOD AND SYSTEM

• US 20190332656A1
• Filed: 03/14/2014
• Published: 10/31/2019
• Est. Priority Date: 03/15/2013
• Status: Abandoned Application

• Current Assignee: Sunshine Partners LLC
• Original Assignee: Sunshine Partners LLC
• Inventors: Chatter, Sonal, Chatter, Mukesh
• Application Number:
  US14/212,252
• Publication Number:
  US 20190332656A1
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/436 using biological or physiological data of a human being, e.g. blood pressure, facial expression, gestures
• CPC Class Codes: G06F 2203/011 Emotion or mood input determined on the basis of sensed human body parameters such as pulse, heart rate or beat, temperature of skin, facial expressions, iris, voice pitch, brain activity patterns
• CPC Class Codes: G06F 3/011 Arrangements for interaction with the human body, e.g. for user immersion in virtual reality blind teaching G09B21/00
• CPC Class Codes: G06F 3/015 Input arrangements based on nervous system activity detection, e.g. brain waves [EEG] detection, electromyograms [EMG] detection, electrodermal response detection
• CPC Class Codes: G06F 3/04817 using icons graphical or visual programming using iconic symbols G06F8/34
• CPC Class Codes: G06F 3/0483 Interaction with page-structured environments, e.g. book metaphor
• CPC Class Codes: G06F 40/166 Editing, e.g. inserting or deleting
• CPC Class Codes: G10L 25/63 for estimating an emotional state

Abstract

An automated adaptive engine alters content in real-time based on feedback received. With this engine human adjustment is no longer necessary or is kept to minimum by choice. The engine may build an Emotional Profile (EP) from scratch, may modulate an existing EP based on detected real-time responses, or also may randomly try different things to detect new response from the user. The engine may be applied with an interactive media application, preferably embodied as an interactive book, that adjusts content automatically in real-time, based on a reader'"'"'s quality of emotional response (or mental response) against expectation, without requiring any human intervention. The response feedback is detected as expressed through voice, facial expressions, vitals such as pulse or blood pressure, and/or activities in different parts of the brain, or other means of such expression.

Claims

1-27. -27. (canceled)

28. A method of dynamically modifying content, comprising:

consuming content through a consumption device;

operating an automated adaptive engine within a computing device having a processor;

inputting data to the computing device;

interpreting, by the adaptive engine the input data as emotional response to the content;

creating, by the adaptive engine, an emotional profile if the emotional profile does not exist;

updating, by the adaptive engine, the emotional profile based on the emotional response; and

dynamically altering, by the adaptive engine, the content being consumed based on the emotional profile, wherein dynamic alterations are further based on non-linear functions.

29. The method of claim 28, wherein the consumption device is the computing device.

30. The method of claim 28, further comprising receiving one or more inputs of emotional feedback data at the consumption device and providing the emotional feedback data as input data to the computing device.

31. The method of claim 28, where inputting data further comprises inputting data from one or more of:

audio input;

camera input;

video input;

brain sensor input; and

/or bio-sensor input measuring one or more of pulse, perspiration, and/or blood pressure.

32. The method of claim 28, wherein dynamically altering further comprises adjusting the content being consumed in order to optimize the emotional response.

33. The method of claim 28, further comprising refining, by the adaptive engine, the emotional profile over time by tracking one or more emotional responses.

34. The method of claim 33, further comprising varying content, by the adaptive engine, to change stimuli and measure different responses while refining the emotional profile.

35. The method of claim 28, further comprising dynamically adjusting, based on the emotional profile, variables controlling elements within the content being consumed.

36. The method of claim 28, further comprising compositing, by the adaptive engine, the emotional profile as a group profile of multiple people consuming the content.

37. The method of claim 36, wherein compositing further comprises basing the group profile on one person from among the multiple people.

38. The method of claim 36, wherein compositing further comprises averaging individual emotional profiles of the multiple people to form the group profile.

39. The method of claim 36, wherein compositing further comprises weighting individual emotional profiles of the multiple people and averaging the weighted profiles to form the group profile.