Method for interactively monitoring and changing the behavior, attitude or educational state of an individual, in particular an individual related to an organization

• US 20010031451A1
• Filed: 03/09/2001
• Published: 10/18/2001
• Est. Priority Date: 03/10/2000
• Status: Abandoned Application

• Current Assignee: IMS Learning A/S
• Original Assignee: IMS Learning A/S
• Inventors: Sander, Soren, Aaro-Hansen, Peter, Byriel, Jens, Hayes, Kenneth B., Vinke, Erik W.
• Application Number:
  US09/801,650
• Publication Number:
  US 20010031451A1
• Time in Patent Office: Days
• US Class Current: 434/236
• CPC Class Codes: G09B 7/00 Electrically-operated teaching apparatus or devices working with questions and answers mechanically operated G09B3/00; computing arrangements G06F

Abstract

The present invention is a method and a system for interactively monitoring the behavior, attitude and educational state of individuals of an organization, especially in relation to ergonomically reasonable conduct of the individuals. The method and system provides an index representative of the behavior, attitude and educational state. The index is provided by monitoring ergonomically relevant conditions of the individual'"'"'s working surroundings and the individual'"'"'s use of PCs or similar computers connected to the system and by means of information obtained by subjecting the individual to electronic questionnaires. The monitored data and data obtained by electronic questionnaires will be compared with reference data for providing instructions for the individual.

Claims

1. A method for interactively monitoring and optionally changing the behavior state(s) and/or attitude state(s) and/or educational state(s) of an individual, comprising

storing, in a database of a computer system,

a reference measure with respect to the behavior state(s) and/or attitude state(s) and/or educational state(s), the reference measure quantifying characteristics relating to the same state(s),

subjecting the individual to a series A of information and/or training routines and/or questions relevant to the said state(s), and recording at least one set of parameters P1 established as a result of the series A and related to the individual or activities of the individual and indicative of the said state(s), and storing the result of the recording in a database of the computer system,

processing the set(s) of parameters P1 to provide at least one index representing the status of the individual with respect to the said state(s),

comparing the at least one index with the reference measure,

and, based on the result of the comparison,

a) classifying the individual, and/or

b) subjecting the individual to further questions and/or information and/or training routines of either series a or another series:

2. A method according to

claim 1

, wherein the reference measure comprises quantification values corresponding to a desired end condition of the individual.

3. A method according to

claim 1

, wherein the individual is an individual related to an organization, and the reference measure is a reference measure selected or at least partly defined by that organization.

4. A method according to

claim 1

, which further comprises storing in a database of the computer system

characteristics relating to a starting condition of the individual with respect to the behavior and/or attitude and/or educational state(s), and

processing the characteristics relating to the starting conditions together with the processing of the set(s) of parameters P1,

and/or comparing the set(s) of parameters P1 and/or the index with the starting condition and/or the reference measure and/or the desired end condition, and, based on the result of the comparison,

a) classifying the individual, and/or

b) subjecting the individual to further questions and/or information and/or training routines of either series A or another series.

5. A method according to

claim 1

, in which one or more sets of parameters P2 relating to a physical state of the individual is/are included in the processing to provide the at least one index.

6. A method according to

claim 1

, wherein one or more sets of parameters P3 relating to an environment of the individual is/are included in the processing to provide the at least one index.

7. A method according to

claim 5

, wherein the one or more sets of parameters P2 and/or P3 has/have been pre-stored in the computer system.

8. A method according to

claim 5

, wherein the one or more sets of parameters P2 and/or P3 is/are recorded as a result of subjecting the individual to the series A.

9. A method according to

claim 5

, wherein the one or more sets of parameters P1 and/or P2 and/or P3 is/are recorded by means of one or more measuring devices.

10. A method according to

claim 9

, wherein the one or more measuring devices is/are measuring devices capable of directly or indirectly communicating with the computer system.

11. A method according to

claim 9

, wherein the one or more sets of parameters P1 and/or P2 and/or P3 is/are recorded by monitoring the individual'"'"'s use or configuration of a device.

12. A method according to

claim 11

, wherein the device is selected from the group consisting of telephones, including mobile telephones;

personal digital assistants (PDA);

fax machines;

scanners;

dictating machines, cameras, including still cameras and video cameras, microphones;

furniture;

tools, instruments, production machines, conveyors, sorters, vehicles, medical devices, prosthetics, care utensils, such as wheelchairs and hoists.

13. A method according to

claim 11

, wherein the device is a computer or a computer peripheral such as an input device, e.g., a mouse or a keyboard.

14. A method according to

claim 11

, wherein the recording is performed at least in part by the individual inputting parameter-relevant data into the computer system.

15. A method according to

claim 11

wherein the recording is performed by the device directly or indirectly communicating with the computer system.

16. A method according to

claim 1

wherein the processing of the parameters to provide the at least one index is based on functions using a combination of static rules and rules derived from previous use of the method.

17. A method according to

claim 16

, wherein the functions comprise functions selected from the group consisting of calculation, statistical calculation, stochastic simulation, fuzzy logic rules and adaptive networks, such as neural networks, so as to establish, for a given number of parameters each having a predetermined result space, the result space for combinations of the parameters.

18. A method according to

claim 17

, wherein the determination of the result space of at least some of the parameters is performed based on consolidated data from a number of individuals.

19. A method according to

claim 1

wherein the reference measure is adjusted periodically to take into account an increased quality in prediction based on an increased number of relevant parameter data which have been gathered.

20. A method according to

claim 2

, wherein the individual is being informed about its progress relative to the desired end status of the individual expressed by the reference measure.

21. A method according to

claim 20

, wherein the individual is being alerted if the set of parameters P1 and/or P2 and/or P3 results in an index which indicates a lower standard than expressed by the reference measure.

22. A method according to

claim 21

, wherein the alerting is given in form of an interruption of a job routine related to the alerting given.

23. A method according to

claim 2

, wherein the behavior and/or attitude state relevant to the organization is ergonomically related behavior, the educational state refers to the knowledge of the individual with respect to ergonomics, and the environment to which the organization subjects the individual refers to ergonomically relevant conditions of the individual'"'"'s working surroundings.

24. A method according to

claim 2

, wherein the behavior and/or attitude state relevant to the organization refers to environmentally reasonable conduct of the individual and wherein the educational state of the individual refers to the knowledge of the individual with respect to the environmental issues in question.

25. A method according to

claim 2

, wherein the behavior and/or attitude state relevant to the organization refers to economically reasonable conduct of the individual and wherein the educational state of the individual refers to the knowledge of the individual with respect to the economical issues in question.

26. A method according to

claim 2

, wherein the behavior and/or attitude state relevant to the organization refers to socially reasonable conduct of the individual and wherein the educational state of the individual refer to the knowledge of the individual with respect to the social issues in question.

27. A method according to

claim 23

, wherein the index generated is one or more of the following:

health index

attitude index

knowledge index

behavior index

performance index

physical environment index

risk index

the risk index being the probability of future changes of the other indices.

28. A method according to

claim 1

wherein the index is represented graphically by means of the interface in which

the index is represented as a function of the reference measure and/or

the index is represented as a function of one of the sets of parameters P1 and P2 and P3.

29. A method according to

claim 1

wherein at least one of the indexes or the parameters P1, P2 or P3 is further processed by processing means using a simulation algorithm for forecasting data relevant to the organization or the individual.

30. A method according to claims 1 wherein the computer system communicates through a network with a computer at the individual site and optionally with at least one more computer.

31. A method according to

claim 1

wherein one or more sets of data each containing at least one of the following types of data

reference measure,

series A,

set of parameters P1,

set of parameters P2,

set of parameters P3,

at least one index and/or

forecast data relevant to the organization or the individual,

is/are used for defining groups of one or more individuals, and data for individual groups are compared or analyzed.

32. A method according to

claim 31

, wherein the data for individual groups which are compared are data which are not identical to the sets of data according to which the groups were defined.

33. A method according to

claim 32

, wherein the data which are compared are data pertaining to the types of data defined in

claim 31

.

34. A method according to

claim 31

, wherein the development over time of data values for individuals within individual groups is compared or analyzed.

35. A method according to

claim 1

, wherein data selected from the group consisting of

reference measure,

series A,

set of parameters P1,

set of parameters P2,

set of parameters P3,

at least one index and/or

forecast data relevant to the organization or the individual,

is used or processed to obtain methodical and/or statistical surveillance/observation or analysis of a group of one or more individuals or a group of one or more organizations.

36. A method according to

claim 35

, wherein the data is accumulated over a period of time, and the accumulated data is used or processed.

38. A method according to

claim 1

, wherein at least one of the following types of data:

reference measure,

series A,

set of parameters P1,

set of parameters P2,

set of parameters P3,

at least one index and/or

forecast data relevant to the organization or the individual,

is compared between one individual and at least one other individual of the organization or of another organization.

39. A method according to

claim 1

wherein at least one of the following types of data:

reference measure,

series A,

set of parameters P1,

set of parameters P2,

set of parameters P3,

at least one index and/or

forecast data relevant to the organization or the individual,

is compared between the organization and at least one other organization.

40. A method according to

claim 1

, wherein the at least one of the following types of data:

reference measure,

series A,

set of parameters P1,

set of parameters P2,

set of parameters P3,

at least one index and/or

forecast data relevant to the organization or the individual,

is compared between the individual and at least one organization.

37. A method according to claim I , wherein data selected from the group consisting of

reference measure,

series A,

set of parameters P1,

set of parameters P2,

set of parameters P3,

at least one index and/or

forecast data relevant to the organization or the individual

is defined for a group of one or more individuals and is compared to the same data of another group of one or more individuals.

41. A computer system for interactively monitoring and optionally changing the behavior state(s) and/or attitude state(s) and/or educational state(s) of an individual, said computer system having first processing means, input means for user provided input, output means and first storage means having stored therein a first computer program said processing means being adapted, in response to commands from said computer program, to:

store a reference measure with respect to the behavior state(s) and/or attitude state(s) and/or educational state(s), in a database of the computer system,

subject the individual to a series A of information and/or training routines and/or questions relevant to the said state(s), and recording at least one set of parameters P1 established as a result of the series A and related to the individual or activities of the individual and indicative of the said state(s), and to store the result of the recording in a database of the computer system,

process the set(s) of parameters P1 to provide at least one index representing the status of the individual with respect to the said state(s),

compare the at least one index with the reference measure, and, based on the result of the comparison, to classify the individual, and/or subject the individual to further questions and/or information and/or training routines of either series A or another series.

42. A computer system according to

claim 42

, wherein the processing means is adapted for, in response to commands from said computer program, to interactively monitor and optionally change the behavior state(s) and/or attitude state(s) and/or educational state(s) of an individual over a computer being used by the individual, the computer being connected to the computer system and cooperating herewith.

46. A computer system according to

claim 42

, wherein the first processing means is adapted to compare the users behavior with reference behavior data stored within the first storage means.

47. A computer system according to

claim 42

, wherein the second processing means is adapted to compare the users behavior with reference behavior data stored within the first storage means or with reference behavior data stored within the second storage means.

48. A computer system according to

claim 42

, wherein computer is operated by the Windows™

operating system and wherein the second processing means is adapted, in response to commands from the second computer program, to monitor the behavior of the user by monitoring a Windows™

messaging cue of the Windows™

operating system.

49. A computer system according to

claim 42

, wherein the behavior of the user is monitored by the first processing means by monitoring a Windows™

messaging cue of a Windows™

operating system of the computer, the Windows™

messaging cue being provided to the computer system by the computer.

50. A computer system according to

claim 42

, wherein second processing means is adapted to provide at least one index representing the behavior of the user.

54. A computer system according to

claim 42

, further comprising sensor means for determining a first electrical signal indicative of a physiologic factor of the individual and for transferring the first electrical signal to the second processing means.

55. A computer system according to

claim 42

, further comprising sensor means for determining a second electric signal indicative of ergonomically relevant conditions of the individual'"'"'s working surroundings and for transferring the second electrical signal to the second processing means.

56. A computer system according to

claim 55

, wherein the sensor means for determining the first electrical signal or the sensor means for determining the second electrical signal is comprised in a computer peripheral device.

57. A computer system according to

claim 42

, wherein a user profile is stored in the first storing means or in the second storing means and wherein the second program is configured by the first processing means and the second processing means, the configuration being based on the user profile.

59. A computer system according to

claim 42

, wherein the user instructions and/or the index is presented graphically for the user by means of an ActiveX or a JAVA application executed on the computer and provided with data from the first storage means.

43. A computer system according to

claim 43

, wherein the cooperation between the computer system and the computer is independent on the operating system of the computer system respectively the operating system of the computer.

44. A computer system according to

claim 43

, wherein the computer comprises means for user interaction, second processing means and second storage means having stored therein a second computer program, said second processing means being adapted, in response to commands from the second computer program, to monitor a users behavior with respect to the users use of the computer, the monitored behavior being stored in a file and communicated to the computer system.

45. A computer system according to

claim 45

, wherein the second processing means is adapted to automatically read and execute instructions from the second computer program upon activation of the computer.

51. A computer system according to

claim 51

, wherein the second processing means is adapted, in response to commands from the second program, to compare the index with a reference index stored in the second storing means or in the first storing means.

52. A computer system according to

claim 51

, wherein the first processing means is adapted, in response to commands from the first program, to compare the index with a reference index stored in the second storing means or in the first storing means.

53. A computer system according to

claim 52

, wherein the second processing means is adapted, in response to commands from the second computer program, to generate user instructions, the user instructions being generated based on the comparison of the index with a reference index and the user instructions being provided to the user via the means for user interaction.

58. A computer system according to

claim 58

, wherein the user profile is generated by the first processing means and stored in the first storage means or in the second storage means, the user profile being generated based on a pre-test program with a questionnaire for the user.