Method for presenting high level interpretations of eye tracking data correlated to saved display images

Abstract

A software program stores during a recording session eye-tracking data and all other communication device activities of a test person that self-controlled confronts her/himself with display scenarios or virtual pages. The display scenarios are stored simultaneously either: 1. after a predetermined elapse time interval, 2. after recognizing a raised attention level of the test person, 3. after a positive result of a scrolling detection process. In a consecutive processing cycle, the software program utilizes an eye interpretation engine to derive high level information and visualizes them superimposed on the correlated image scenarios.

1. A method for presenting high level interpretations of eye tracking data correlated to stored display scenarios of a display event, said method comprising following steps:
 A) storing eye tracking data and correlated display scenarios, said display scenarios being stored according to at least one of the following conditions: 
 1) a predetermined elapsed time interval;  
 2) a predetermined tracking sequence of said eye tracking data, said eye tracking data being derived and simultaneously evaluated;  
 3) a positive result of a scrolling detection process; and  
 4) a predetermined communication device activity;  
 
 B) processing said eye tracking data with an interpretation engine, whereby said eye tracking data is converted into said high level interpretations;  
 C) assigning a valuation vocabulary to said high level interpretations; and  
 D) displaying said stored display scenarios and presenting simultaneously said valuation vocabulary.  
 
     
     
       2. The method of  claim 1 , whereby said stored display scenarios are segments of a virtual page. 
     
     
       3. The method of  claim 2 , whereby said virtual page exceeds a viewable display area. 
     
     
       4. The method of  claim 1 , whereby said display scenario compromises a scrollable area. 
     
     
       5. The method of  claim 4 , whereby said virtual page is partially and scrollable displayed within said scroll area. 
     
     
       6. The method of  claim 4 , whereby a coordinate information is stored simultaneously and correlated to said eye-tracking data. 
     
     
       7. The method of  claim 6 , whereby said coordinate information is referenced to a viewable display area. 
     
     
       8. The method of  claim 6 , whereby said coordinate information is referenced to said virtual page. 
     
     
       9. The method of  claim 6 , whereby said coordinate information is referenced to said scrollable area. 
     
     
       10. The method of  claim 1 , whereby said predetermined tracking sequence corresponds to a predetermined attention level increase. 
     
     
       11. The method of  claim 1 , whereby said predetermined tracking sequence indicates a condition change of said display event. 
     
     
       12. The method of  claim 1 , whereby said scrolling detection process is a detection algorithm consisting of the following three steps:
 A) continuously collecting data from an operation system about windows appearing during display events;  
 B) analyzing said windows to recognize scrolling windows; and  
 C) detecting location alterations of said scrolling windows.  
 
     
     
       13. The method of  claim 1 , whereby said scrolling detection analysis in real time a pixel matrix for pixel patterns. 
     
     
       14. The method of  claim 13 , whereby said pixel matrix is a display scenario. 
     
     
       15. The method of  claim 13 , whereby said pixel pattern relates to a scrolling initiation function. 
     
     
       16. The method of  claim 1 , whereby said high level interpretations correspond to eye behavior patterns. 
     
     
       17. The method of  claim 1 , whereby said high level interpretations correspond to basic mental states. 
     
     
       18. The method of  claim 1 , whereby said valuation vocabulary is an acoustic vocabulary. 
     
     
       19. The method of  claim 1 , whereby said valuation vocabulary is a graphical vocabulary. 
     
     
       20. The method of  claim 19 , whereby said graphical vocabulary is superimposed displayed with said stored display scenario. 
     
     
       21. The method of  claim 19 , whereby said graphical vocabulary is selectable displayed. 
     
     
       22. The method of  claim 1 , whereby said valuation vocabulary corresponds to demographic information retrieved by applying said method in a number of corresponding testing sessions. 
     
     
       23. The method of  claim 1 , whereby said valuation vocabulary corresponds to statistic information retrieved by applying said method in a number of corresponding testing sessions. 
     
     
       24. The method of  claim 1 , whereby said method is executed in form of a machine-readable code and stored on a storing device. 
     
     
       25. The method of  claim 24 , whereby said machine-readable code is part of a web browser. 
     
     
       26. The method of  claim 24 , whereby said machine-readable code is a self extracting attachment of a web page. 
     
     
       27. An article storing computer- readable instructions that cause one or more hardware devices to:      A )  store eye tracking data and correlated display scenarios, said display scenarios being stored according to at least one of the following conditions:        1   )  a predetermined elapsed time interval;          2   )  a predetermined tracking sequence of said eye tracking data, said eye tracking data being derived and simultaneously evaluated;          3   )  a positive result of a scrolling detection process; and          4   )  a predetermined communication device activity;          B )  process said eye tracking data with an interpretation engine, whereby said eye tracking data is converted into said high level interpretations;        C )  assign a valuation vocabulary to said high level interpretations; and        D )  display said stored display scenarios and presenting simultaneously said valuation vocabulary.     
     
     
       28. The article of  claim 27 , wherein said stored display scenarios are segments of a virtual page. 
     
     
       29. The article of  claim 28 , wherein said virtual page exceeds a viewable display area. 
     
     
       30. The article of  claim 27 , wherein said display scenario comprises a scrollable area. 
     
     
       31. The article of  claim 30 , wherein said virtual page is partially and scrollable displayed within said scroll area. 
     
     
       32. The article of  claim 30 , wherein a coordinate information is stored simultaneously and correlated to said eye tracking data. 
     
     
       33. The article of  claim 32 , wherein said coordinate information is referenced to a viewable display area.  
     
     
       34. The article of  claim 32 , wherein said coordinate information is referenced to said virtual page. 
     
     
       35. The article of  claim 32 , wherein said coordinate information is referenced to said scrollable area. 
     
     
       36. The article of  claim 27 , wherein said predetermined tracking sequence corresponds to a predetermined attention level increase. 
     
     
       37. The article of  claim 27 , wherein said predetermined tracking sequence indicates a condition change of said display event. 
     
     
       38. The article of  claim 27 , wherein said scrolling detection process is a detection algorithm comprising:
   A )  continuously collecting data from an operation system about windows appearing during display events;        B )  analyzing said windows to recognize scrolling windows; and        C )  detecting location alterations of said scrolling windows.     
     
     
       39. The article of  claim 27 , wherein said scrolling detection analysis in real time a pixel matrix for pixel patterns. 
     
     
       40. The article of  claim 39 , wherein said pixel matrix is a display scenario. 
     
     
       41. The article of  claim 39 , wherein said pixel pattern relates to a scrolling initiation function. 
     
     
       42. The article of  claim 27 , wherein said high level interpretations correspond to eye behavior patterns. 
     
     
       43. The article of  claim 27 , wherein said high level interpretations correspond to basic mental states. 
     
     
       44. The article of  claim 27 , wherein said valuation vocabulary is an acoustic vocabulary. 
     
     
       45. The article of  claim 27 , wherein said valuation vocabulary is a graphical vocabulary. 
     
     
       46. The article of  claim 45 , wherein said graphical vocabulary is superimposed displayed with said stored display scenario. 
     
     
       47. The article of  claim 45 , wherein said graphical vocabulary is selectable displayed. 
     
     
       48. The article of  claim 27 , wherein said valuation vocabulary corresponds to demographic information retrieved by applying said method in a number of corresponding testing sessions. 
     
     
       49. The article of  claim 27 , wherein said valuation vocabulary corresponds to statistic information retrieved by applying said method in a number of corresponding testing sessions.